Key Responsibilities:

Strategy & Governance - Develop and own global response operations to drive operational resiliency, aligned with enterprise risk appetite, regulatory expectations, and industry standards (e.g., ISO 22301, ISO 31000).

Maintain the Crisis Management Framework (CMT charter, regional and site structures, severity levels, escalation criteria) and a comprehensive resiliency program.

Partner with Enterprise Risk, Cyber, IT, Corporate Real Estate, HR, Legal, Compliance, and Operations to ensure a coordinated operational resilience posture.

Crisis Management Leadership - Serve as primary crisis advisor to the CSO and Corporate Crisis Management Team (CMT) during multi-region or high-impact events (safety, security, cyber-physical, operational, reputational, geopolitical).

Ensure clear, rehearsed activation protocols and handoffs between GSOC, regional/site IMTs, and the CMT; assume incident commander / deputy CMT lead role when required.

Maintain and regularly update scenario playbooks (e.g., cyber outage with physical impact, regional conflict, terrorism, civil unrest, severe weather, major vendor failure).

Preparedness Management - Assess existing prepare/recover methodologies and develop an integrated Resiliency framework.

Work closely with cross-functional teams to understand existing protocols for key functions and locations.

Global Threat Intelligence – Leadership & Integration - Oversee the Global Threat Intelligence function, setting collection and analysis priorities based on the firm’s footprint and risk profile (geopolitics, terrorism, civil unrest, crime, cyber-physical, climate, regulatory/social trends).

Ensure production of concise, decision-ready products (country profiles, flash alerts, risk outlooks, executive briefs) that drive specific crisis management and resiliency actions.

Define clear triggers from intelligence to action (travel limitations, office posture changes, additional security measures, CMT/IMT activation, exercise themes).

Exercises, Training & Culture - Design and run global crisis exercises for the C-suite and regional leadership; oversee regular regional and site tabletop and functional drills.

Set standards and content for resiliency and intelligence-related training (CMT, IMTs, GSOC, BC coordinators) and support awareness campaigns in partnership with HR and Communications.

Drive a resilience culture, ensuring leaders know their roles in crises and staff understand core response actions and reporting channels.

Continuous Improvement & External Engagement - Lead After-Action Reviews for major incidents and exercises; track and close corrective actions, feeding lessons into strategy, policies, and plans.

Maintain dashboards and metrics on crisis events, threat environment, and readiness, for regular CSO and Board-level reporting.

Represent the firm in industry forums on resiliency and threat topics; maintain working relationships with peer institutions, law enforcement, emergency services, and key vendors.

Experience & Qualifications - 12–15+ years in crisis management, business continuity, corporate security, intelligence, or operational resilience.

Experience in a global financial institution or similarly complex, regulated environment preferred.

Proven track record leading complex, multi-jurisdiction incidents and senior-level exercises, including direct interaction with C-suite and Boards.

Demonstrated experience building or maturing resiliency and/or intelligence programs (frameworks, governance, metrics, tooling).

Strong understanding of global threat landscapes (geopolitical, terrorism, civil unrest, climate, cyber-physical) and their impact on financial markets, operations, and staff safety.

Deep familiarity with relevant standards and regulatory regimes (e.g., ISO 22301, operational resilience frameworks in UK/EU/US/APAC).

Exceptional executive communication and influence skills, capable of synthesizing complex information into clear recommendations under time pressure.

Core Competencies - Strategic and systems thinking; able to connect threats, operations, and business outcomes.

Calm, structured leadership and sound judgment under pressure.

Strong analytical mindset with an intelligence-led, risk-based approach.

High integrity, discretion, and sensitivity to privacy, legal, and cultural differences across countries.

Program and change management skills, with the ability to drive adoption across regions and functions.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.

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You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, Kubernetes, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities.

You will:

• Conduct in-depth code reviews to identify and remediate security vulnerabilities.
• Evaluate and enhance the security of our product offerings, through RFC and service review.
• Implement and maintain CI/CD pipelines with a strong focus on security.
• Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code.
• Utilize terraform orchestration to ensure secure and efficient infrastructure management.
• Guide engineering teams to build robust long-term solutions that consider security and privacy.
• Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.
• Influence the security strategy and direction of the team, advocating for best practices and continuous improvement.

Ideally, you’d have:

• Proven experience as a Security Engineer with a focus on product security.
• Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes.
• Strong understanding of modern Javascript application design.
• Production experience with Kubernetes backed services
• Hands-on experience with SAST and DAST tools and methodologies.
• Familiarity with terraform orchestration for infrastructure management.
• You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input.
• Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders.
• Demonstrated ability to influence security strategies and drive improvements within a team.
• Relevant security certifications (e.g., CISSP, CEH, OSCP) are a plus.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Washington DC/Hawaii is: $205,700-$257,400 USD

The base salary range for this full-time position in the location of St. Louis/Suffolk is: $171,600-$214,500 USD

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You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, AWS, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities.

You will:

• Leverage broad product security expertise to build and maintain software tooling that secures every layer of the modern AI/ML software ecosystem.

• Conduct in-depth code reviews to identify and remediate security vulnerabilities.

• Evaluate and enhance the security of our product offerings, through RFC and service review.

• Implement and maintain CI/CD pipelines with a strong focus on security.

• Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code.

• Utilize terraform orchestration to ensure secure and efficient infrastructure management.

• Guide engineering teams to build robust long-term solutions that consider security and privacy.

• Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.

• Influence the security strategy and direction of the team, advocating for best practices and continuous improvement.

Ideally, you’d have:

• Demonstrated ability to drive multi-month security initiatives independently, from problem definition through execution, without requiring significant direction.

• Proven experience as a Security Engineer with a focus on product security.

• Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes.

• Strong understanding of modern Javascript application design.

• Production experience operating and securing AWS infrastructure at scale.

• Hands-on experience with SAST and DAST tools and methodologies.

• Familiarity with terraform orchestration for infrastructure management.

• You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input.

• Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders.

• Demonstrated ability to influence security strategies and drive improvements within a team.

• Relevant security certifications (e.g., CISSP, CEH, OSCP) are a plus.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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You will be in a customer-facing role, working with and supporting Solution Architects, which requires hands-on production experience with public cloud - AWS, Azure, and GCP.

SSAs help customers with the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Platform.

As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be cloud deployments, security, networking, or more.

Responsibilities:

• Provide technical leadership to guide strategic customers to the successful administration of Databricks, ranging from design to deployment

• Architect production-level deployments, including meeting necessary security and networking requirements

• Become a technical expert in an area such as cloud platforms, automation, security, networking, or identity management

• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content and custom architectures

• Provide tutorials and training to improve community adoption (including hackathons and conference presentations)

• Contribute to the Databricks Community

Requirements:

• 5+ years of experience in a technical role with expertise in at least one of the following:

• Cloud Platforms & Architecture: Cloud Native Architecture in CSPs such as AWS, Azure, and GCP, Serverless Architecture

• Security: Platform security, Network security, Data Security, Gen AI & Model Security, Encryption, Vulnerability Management, Compliance

• Networking: Architecture design, implementation, and performance

• Identify management: Provisioning, SCIM, OAuth, SAML, Federation

• Platform Administration: High availability and disaster recovery, cluster management, observability, logging, monitoring, audit, cost management

• Infrastructure Automation and InfraOps with IaC tools like Terraform

• Maintain and extend the Databricks environment to adapt to evolving complex needs.

• Deep Specialty Expertise in at least one of the following areas:

• Security - understanding how to secure data platforms and manage identities

• Complex deployments

• Public Cloud experience - experience designing data platforms on cloud infrastructure and services, such as AWS, Azure, or GCP, using best practices in cloud security and networking.

• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.

• Hands-on experience with Python, Java, or Scala, and proficiency in SQL, and Terraform experience are desirable.

• 2 years of professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures

• 2 years of customer-facing experience in a pre-sales or post-sales role

• Can meet expectations for technical training and role-specific outcomes within 6 months of hire

• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed.

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Zone 2 Pay Range $264,000-$363,000 USD

Zone 3 Pay Range $264,000-$363,000 USD

Zone 4 Pay Range $264,000-$363,000 USD

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You will:

• Backend Development and System Ownership: Design and implement secure, scalable backend systems for customers using modern, cloud-native AI infrastructure. Own services or systems, define long-term health goals, and improve the health of surrounding components.

• Collaboration and Standards: Collaborate with cross-functional teams to define and execute backend and infrastructure solutions tailored for secure environments. Enhance engineering standards, tooling, and processes to maintain high-quality outputs.

• Infrastructure Automation and Management: Write, maintain, and enhance Infrastructure as Code templates (e.g., Terraform, CloudFormation) for automated provisioning and management. Manage networking architecture, including secure VPCs, VPNs, load balancers, and firewalls, in cloud environments.

• Deployment and Scalability: Design and optimize CI/CD pipelines for efficient testing, building, and deployment processes. Scale and optimize containerized applications using orchestration platforms like Kubernetes to ensure high availability and reliability.

• Disaster Recovery and Hybrid Strategies: Develop and test disaster recovery plans with robust backups and failover mechanisms. Design and implement hybrid and multi-cloud strategies to support workloads across on-premises and multiple cloud providers.

Our ideal candidate has a strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience), and 5+ years of post-graduation engineering experience, with a focus on back-end systems and proficiency in at least one of Python, Typescript, Javascript, or C++.

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In this role, you will design and implement AI-powered security tools, proactively address vulnerabilities, and champion secure engineering practices across the organisation.

Ideal candidates are passionate about impactful innovation, excel at writing clean, efficient code, and thrive in fast-paced environments to support xAI's mission of creating a trusted and secure global digital platform.

Responsibilities:

• Design and build AI-driven security tooling and agents using Grok to identify, analyse, and mitigate vulnerabilities in the platform infrastructure and customer-facing application(s)

• Proactively identify security problems to solve and own the design and implementation end-to-end

• Collaborate and be a security champion while driving technical decisions across the organisation

Basic Qualifications:

• 3+ years of experience in fast-paced, high-impact environments, ideally at startups or tech-driven companies.

• Expertise in Python, Rust, or Go, with strong problem-solving skills and a focus on clean, efficient code.

• Certifications like CISA, CRISC, CGEIT, Security+, CASP+, or similar preferred.

• Proven experience building tools or systems from scratch, with a focus on scalable solutions.

• Proficiency in designing scalable backend architectures to support secure systems.

• Familiarity with security testing frameworks (e.g., Burp Suite, OWASP ZAP, SAST/DAST).

• Experience with Docker and Kubernetes for deploying and securing containerized applications.

• Knowledge of software supply chain tools, including SBOM management and dependency scanning.

Preferred Skills and Experience:

• Experience developing AI-driven security tools or integrating AI into security workflows.

• Familiarity with Kubernetes-based environments and securing cloud-native infrastructure.

• Proven ability to drive technical decisions and influence security practices across teams.

• A passion for challenging the status quo and building transformative security solutions.

• Strong collaboration skills, with experience working in dynamic, cross-functional teams.

• A sense of humour and adaptability to thrive in a fast-paced, mission-driven environment.

ITAR Requirements:

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorisations from the U.S. Department of State. Learn more about the ITAR here.

Compensation and Benefits:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software.

Responsibilities:

• Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments
• Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security
• Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments
• Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies.
• Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement
• Identify and remediate security gaps through code review, threat modeling, and hands-on debugging
• Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation

Requirements:

• At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production
• Bachelor's degree in Computer Science or equivalent industry experience
• Strong programming skills in Python or at least one systems language such as Go or Rust
• Experience contributing to cloud security controls
• A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix
• Clear communication skills and the ability to work collaboratively across engineering teams
• Low ego and high empathy, with a genuine interest in helping teammates succeed
• Passion for AI safety and the role security engineering plays in building trustworthy AI systems

Preferred Qualifications:

• Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure
• Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers
• Experience with cloud security posture management tooling, infrastructure-as-code security scanning, or automated remediation
• Experience with network security and isolation techniques including east-west controls, traffic inspection, and cloud network policy
• Experience with eBPF for security monitoring and enforcement, or developing kernel security policies
• Experience building secrets management or workload authentication systems, including familiarity with protocols such as OAuth 2.0, OIDC, SAML, or SPIFFE/SPIRE
• Background building or operating security systems in environments that support research workflows and rapid iteration

Benefits:

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space in which to collaborate with colleagues

How to Apply:

If you're interested in this role, please submit your application through our website. We look forward to hearing from you!

Note: Anthropic is an equal opportunity employer and welcomes applications from diverse candidates.

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Responsibilities:

• Lead and manage a team of talented engineers on the team, providing mentorship, guidance, and support to ensure their success.
• Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion.
• Help influence peers / managers and build consensus while dealing with ambiguity
• Build your team - formalizing role definitions, defining charter and ownership boundaries and taking a newly formed team into a high-functioning one

Who you are: We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements:

• 4+ years of software development experience
• 2+ years of cloud development or management experience
• Professional working proficiency in English

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We are looking for a skilled Senior Site Reliability Engineer to join our Tenant Services, Geo team. As a Senior Site Reliability Engineer, you will be responsible for ensuring the smooth operation of our user-facing services and production systems.

About Us

GitLab is the intelligent orchestration platform for DevSecOps. It enables organisations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation.

Responsibilities

• Execute Dedicated Geo migrations and cutovers end-to-end, including planning, pre-cutover validation, execution, and post-cutover verification and cleanup.
• Join the team's shift and weekend coverage rotation for Dedicated cutovers across EMEA and US hours, and participate in the SaaS Site Reliability Engineering (SRE) on-call rotation to respond to incidents that impact GitLab.com availability.
• Operate and improve the Geo operational surface for Dedicated, including:
• Environment preparation and data hygiene checks prior to migrations.
• Execution of replication, validation, and cutover procedures.
• Handling Geo-related escalations from Support and internal partners.
• Design, build, and maintain automation, tooling, and runbooks that make migrations, cutovers, and Geo escalations as 'boring' and repeatable as possible.
• Run our infrastructure with tools such as Ansible, Chef, Terraform, GitLab CI/CD, and Kubernetes; contribute improvements back to GitLab's product and infrastructure where appropriate.
• Build and maintain monitoring, alerting, and dashboards that:
• Detect symptoms early, not just outages.
• Track migration and cutover success rates, duration, rollback frequency, and related SLOs.
• Collaborate closely with:
• The core Geo team on improving Geo features and operability.
• Dedicated migrations and Support on migration planning, customer communications, and escalation handling.
• Other Infrastructure teams on capacity planning, disaster recovery, and reliability improvements.
• Contribute to readiness reviews, incident reviews, and root cause analyses, turning learnings into changes in automation, process, or product.
• Document every action, including runbooks, architecture decisions, and post-incident reviews, so your findings turn into repeatable practices and automation.
• Proactively identify and reduce toil by automating repetitive operational work and simplifying migration workflows.

Requirements

• Experience operating highly-available distributed systems at scale, ideally in a SaaS environment with customer-facing SLAs.
• Hands-on experience with at least one major cloud provider (e.g., Google Cloud Platform or Amazon Web Services), including networking, storage, and managed services.
• Experience with Kubernetes and its ecosystem (e.g., Helm), including deploying and troubleshooting workloads.
• Experience with infrastructure as code and configuration management tools such as Terraform, Ansible, or Chef.
• Strong programming skills in at least one general-purpose language (preferably Go or Ruby) and proficiency with scripting (e.g., Shell, Python).
• Experience with observability systems (e.g., Prometheus, Grafana, logging stacks) and using metrics and logs to troubleshoot performance and reliability issues.
• Practical exposure to data replication, backup/restore, or migration scenarios (e.g., database replication, storage replication, or Geo-like technologies) where data integrity and downtime risk must be carefully managed.
• Comfort participating in an on-call rotation, investigating incidents across the stack, and driving follow-through on corrective actions.
• Ability to engage directly with enterprise customers during migrations and incidents, including on live calls and through clear written updates.
• Ability to clearly define problems, propose options, and think beyond immediate fixes to improve systems and processes over time.
• Ability to be a 'manager of one': self-directed, organized, and able to drive work to completion in a remote, asynchronous environment.
• Strong written and verbal communication skills, with a bias toward clear, asynchronous documentation and collaboration.
• Alignment with our company values and a commitment to working in accordance with those values.

Nice to Have

• Experience working with disaster recovery technologies.
• Experience with managed/hosted environments similar to GitLab Dedicated, including regulated or compliance-sensitive customers (e.g., SOC2, ISO).
• Prior work on large-scale data migrations or cutovers where customer data integrity, performance, and downtime risk had to be carefully balanced.
• Hands-on experience designing and operating database replication, backup/restore, and cutover workflows (for example, PostgreSQL or cloud-managed equivalents such as AWS RDS), including planning and executing low-risk migrations for large datasets.
• Experience with multi-tenant architectures, sharding, or routing strategies in high-traffic SaaS platforms.
• Familiarity with GitLab (self-managed or SaaS), and/or contributions to open source projects.

Benefits

• Benefits to support your health, finances, and well-being
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental leave
• Home office support

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In this role, you will combine deep technical leadership with hands-on engineering to create systems that improve availability, resiliency, and delivery velocity at scale. This is a high-impact role with broad organisational influence. You will develop a deep understanding of CoreWeave's infrastructure and services, shape architecture and tooling decisions, and partner closely with service owners to operationalise reliability through automation and paved paths rather than manual process or advocacy.

Success requires the ability to pivot quickly between hot incidents, multi-team programs, and initiatives at all levels of the organisation. You will design, build, and own foundational platforms and frameworks from architecture through adoption and operation. You will lead technical strategy and execution for internal tooling that reduces manual operations, improves delivery velocity, and supports CoreWeave's revenue growth through faster, more reliable datacentre delivery.

You will partner with service owners and platform teams to translate reliability and operational requirements into automation, self-service capabilities, and opinionated paved paths. You will build and evolve systems for observability, alerting, automated remediation, resiliency testing, and authoritative sources of truth, operationalising best practices through tooling rather than manual enforcement.

You will participate in incident response for critical outages with the explicit goal of improving systems, tooling, and defaults to reduce future operational load,not as a long-term escalation path. You will ship production code, participate in on-call rotations as needed, and mentor engineers on platform ownership, operational design, and sustainable production practices.

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Location: Bengaluru, India

We're looking for a seasoned Director of Engineering to lead our data infrastructure organization in Bengaluru. As a founding technical leader in our fastest-growing engineering hub, you will be responsible for building world-class teams and shaping architectural decisions that ripple across the company.

About the Role:

• You will build the data infrastructure organization that makes Databricks' continued growth possible.
• Establish foundational teams in Bengaluru owning the bedrock systems that guarantee billing correctness, operational resilience, and zero-downtime recovery across our entire monetization stack.
• Define what world-class infrastructure looks like for the next decade of data platforms.

Responsibilities:

• Deliver the infrastructure vision for systems processing billions in daily billing transactions with zero tolerance for error.
• Build Bengaluru's data infrastructure organization by establishing it as the destination for India's top infrastructure talent.
• Own business-critical systems operating 24/7/365 across 100+ regions where even 99.9% uptime means hours of customer pain.
• Ship platforms that compound engineering leverage across Databricks.

Requirements:

• 14+ years in distributed systems engineering with 6+ years leading infrastructure organizations and 4+ years managing managers at companies where infrastructure failures meant immediate revenue impact, customer escalations, or regulatory consequences.
• Technical depth across petabyte-scale data pipelines and distributed systems reliability.
• Track record defining multi-year infrastructure vision and translating it into sequential deliverables that show value quarterly.
• Experience building 99.999%+ reliable systems with established practices for SLOs/SLIs, chaos engineering, disaster recovery, and sophisticated observability.
• Proven ability to scale infrastructure organizations in high-growth environments.
• Communication skills to make complex infrastructure decisions legible to executives.

What You'll Need:

• BS in Computer Science or Engineering; MS or Ph.D. preferred.
• Experience with Apache Spark, Delta Lake, large-scale data infrastructure, fintech/billing systems, or leading infrastructure through hypergrowth strongly preferred.

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

Compliance:

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to grant such access.

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The responsibilities listed below represent the core functions of this role:

• Strategic Audit Leadership: Lead end-to-end FedRAMP and DoD audits, serving as the primary point of contact for external 3PAOs and government agencies.
• Continuous Monitoring Strategy: Oversee and evolve the continuous monitoring (ConMon) program. Design sophisticated reporting mechanisms for vulnerability management and risk posture for executive leadership.
• Engineering Advisory: Act as a senior consultant to Engineering and Product teams, translating complex NIST 800-53 requirements into actionable technical specifications for cloud-native environments.
• Impact Assessment & Risk Management: Lead the assessment of high-impact changes to federal systems. Ensure that system evolutions maintain a rigorous security posture without sacrificing innovation.
• Cross-Functional Alignment: Drive synchronization between GRC, Security, Marketing, Sales, Engineering, and Product to ensure federal requirements are integrated into the broader corporate roadmap.
• Programmatic Gap Analysis: Proactively identify and lead initiatives to close gaps between current capabilities and future regulatory requirements (e.g., emerging NIST standards, new DoD mandates, or IL6 requirements).
• Evidence Automation & FedRAMP 20x Readiness: Drive the build-out and support of automated evidence collection and control validation. Lead the transition toward "FedRAMP 2.0" standards (including OSCAL integration), defining and monitoring Key Security Indicators (KSIs) to provide real-time compliance visibility.

Minimum Required Knowledge, Skills, and Abilities:

• Education: Bachelor’s degree in Computer Science, MIS, Cybersecurity, or a related technical field.
• Experience: 7+ years of experience in security compliance, with at least 4-5 years specifically focused on the FedRAMP/NIST 800-53 framework.
• Automation & Compliance Engineering: Demonstrated experience with automation tools or scripting (e.g., Python, Go, or SQL) for automated evidence collection. Familiarity with API-based control validation and OSCAL-based tooling (e.g., Trestle, LULA, or similar GRC automation frameworks).
• Technical Depth: Deep understanding of cloud-native infrastructure (IaaS, PaaS, SaaS) and how infrastructure components (networking, OS, databases) support a distributed cloud application.
• Framework Mastery: Expert-level knowledge of NIST SP 800-53, FedRAMP High/Moderate, and DoD SRG (IL4, IL5, and familiarity with IL6).
• Operational Knowledge: Proven experience with access management, CI/CD pipelines, disaster recovery, and encryption/key management in a cloud context.
• Analytical Leadership: Ability to analyze complex "edge-case" security scenarios and provide remediation paths that align with both business goals and regulatory requirements.
• Communication: Exceptional presentation skills with the ability to explain technical compliance risks to non-technical executive stakeholders.

Preferred Certifications & Skills:

• Advanced Certifications: CISSP (highly preferred), CISA, or CCSK.
• Cloud Expertise: AWS Certified Solutions Architect or Cloud Practitioner.
• Tooling: Expert-level proficiency with JIRA, ServiceNow, and Okta.
• Technical Background: Prior experience in a DevOps, Security Engineering, or Systems Administration role is a significant plus.

Additional requirements:

• This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

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About the Team: Anduril employs a variety of networks and networking infrastructures to support global operations. Information Systems Security Managers are in charge of directly supporting business lines that wish to deploy Anduril products in classified environments.

About the Job: As an Information Systems Security Manager, you will be responsible for providing expertise in documenting security controls to reduce the administrative cost of deploying Anduril's products into operational environments. You will partner with program and security teams to coordinate security artifacts in support of classified deployments. You will apply technology standards from the commercial space in classified, air-gapped environments.

Responsibilities:

• Provide expertise in documenting security controls to reduce the administrative cost of deploying Anduril's products into operational environments.
• Partner with program and security teams to coordinate security artifacts in support of classified deployments.
• Apply technology standards from the commercial space in classified, air-gapped environments.
• Collaborate with Information System Owners to understand key stakeholders' needs and provide complex technical solutions to meet contractual obligations.
• Tailor NIST 800-53 controls to determine applicability to the network environment and oversee the implementation of Continuous Monitoring for respective programs.
• Define, document, and conduct security scanning on Anduril's products and accredited information systems.
• Scope, shape, and orchestrate the development of features to ensure products meet compliance goals.

Required Qualifications:

• Design, develop, and implement secure systems and networks per NIST RMF, JSIG, and other industry standards.
• Integrate security best practices into Anduril's Software Development Lifecycle (SDLC) and infrastructure design, collaborating with internal IT and engineering teams.
• Conduct security risk assessments, vulnerability assessments, and audits to identify and mitigate threats.
• Recommend and implement security solutions, such as IDS/IPS, encryption protocols, and secure communications technologies.
• Develop and enforce access controls, encryption strategies, and other technical measures to safeguard systems.
• Maintain and update System Security Plans (SSPs), POA&Ms, and other accreditation documentation.

Preferred Qualifications:

• Experience with application security paradigms such as Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Software Composition Analysis (SCA).
• Proven experience in securing micro-services architecture, including implementing best practices and compliance with DoD cybersecurity standards.
• Experience with cybersecurity in unmanned and ground control system within DoD environments.
• Experience with containerization and kubernetes along with the best practices for securing them.
• Experience with Cloud Service Providers (CSPs) and the various tools they offer for implementing security and compliance best practices.

Salary: The salary range for this role is $146,000-$194,000 USD.

Benefits: Anduril offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans at little to no cost to you. Anduril also offers income protection, generous time off, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.

Protecting Yourself from Recruitment Scams: Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
• Please always verify communications:
• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not respond or engage with the sender.

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As a Staff Engineer, AI Security on the AppSec team, you'll lead autonomous defense for the AI lifecycle. Build multi-agent frameworks and secure gateways while integrating real-time security gates and identity standards. By mentoring Security and R&D to define the MLSecOps roadmap, you'll ensure a 'secure-by-default' future for agentic workflows and resilient AI innovation.

Responsibilities:

Serve as the primary subject matter expert for all AI and machine learning security initiatives across security and R&D.

Design and manage AI gateways to provide a centralized control plane for authentication and authorization and rate limiting across all model and tool interactions.

Build and maintain an autonomous security agentic framework that utilizes multi agent orchestration for end to end investigation and alert triage and remediation.

Develop agentic identity models using OAuth 2.1 to propagate identity across trust boundaries and prevent the confused deputy problem.

Help govern the AI augmented software development lifecycle by integrating real time security gates into the developer environment and CI/CD pipeline.

Manage Agentic Security Solutions that secure AI lifecycle and manage AI workloads at runtime.

Author company wide AI security standards and implement these security checks across Twilio's stack.

Implement human in the loop checkpoints and transactional safety protocols for high impact or destructive agentic actions.

Partner with engineering leadership to set the long term roadmap for identity centric security and automated posture management.

Act as a knowledge multiplier by mentoring security engineers and developing secure by default paved road templates for R&D teams

Qualifications:

8+ years of experience in security engineering with at least 3 years focused on AI or machine learning security operations (MLSecOps).

Expertise in orchestrating multi-agent systems with AWS Strands, LangGraph, and CrewAI, specializing in runtime isolation, PII redaction, and defending against indirect prompt injection in agentic environments.

Hands-on experience with AI-specific frameworks (e.g., MITRE ATLAS, MAESTRO, OWASP Top 10 for LLMs/Agents/MCP) to threat model and defend against a wide spectrum of risks, including direct/indirect prompt injection, training data poisoning, tool poisoning, and data exfiltration within agentic workflows.

Proficiency in securing end-to-end AI pipelines, from data ingestion and training to model deployment and monitoring.

Strong communication skills to translate complex AI risks into actionable business logic for stakeholders.

Desired:

Hands-on experience in modern application security tooling including SAST and SCA and DAST with experience adapting these tools to catch AI specific vulnerabilities like indirect prompt injection.

Expertise in identity standards including OAuth 2.1 and PKCE.

Experience with AI Red Teaming and conducting adversarial simulations against Large Language Models (LLMs) and agentic systems.

Proficiency in at least one general programming language (Python, Go, etc) with experience in container security and workload isolation.

Proven ability to operate with autonomy and drive high impact outcomes in ambiguous environments by identifying and executing on critical projects without predefined roadmaps or direct supervision.

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Location: United States

Department: Security

Job Description:

This role can be based remotely anywhere in the United States. The Product Security Team's mission is to left-shift SDLC (Security Development Lifecycle) processes for all code written in Databricks (for customer use or supporting customers internally) to reduce the likelihood of introducing new vulnerabilities in production and minimize the count and effect of externally identified vulnerabilities on Databricks Services.

You will be an individual contributor on the product security team at Databricks, managing SDLC functions for features and products within Databricks. This would include, but is not limited to, security design reviews, threat models, manual code reviews, exploit writing, and exploit chain creation. You will also support IR and VRP programs when there is a vulnerability report or a product security incident.

You will work with a global team, spread across various locations in the US and EMEA.

The impact you will have:

• Full SDLC support for new product features being developed in ENG and non-ENG teams. This would include threat modeling, design review, manual code review, exploit writing, etc.

• Work with other security teams to provide support for incident response and vulnerability response as and when needed.

• Work with the results of SAST tools to help evaluate and identify false positives and file defects for real issues.

• Work on DAST tools and related automation for auto-assessment and defect filing.

• Maintain the automation framework and add new features as needed to support different security compliances that Databricks may want to get into – FedRamp, PCI, HIPAA, etc.

• Prioritize security from a risk management perspective, rather than an absolute textbook version.

• Help develop and implement security processes to improve the overall productivity of the product security organization and the SDLC process in general

What we look for:

• 3-10 years' experience with the threat modeling process and ability to find design problems based on a block diagram of data flow.

• Solid understanding on at least two of the following domains: web security, cloud security, systems security, and applied cryptography.

• Proficient with one or more of programming languages (Python/Java/Scala/JavaScript) and ability to read code to identify security defects.

• Strong skills on scripting and automation on exploits.

• Fuzzing skills are good to have.

• Exploit writing skills are a positive and greatly required.

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range: $190,000 - $261,250 USD

Zone 2 Pay Range: $171,000 - $235,200 USD

Zone 3 Pay Range: $161,500 - $222,100 USD

Zone 4 Pay Range: $152,000 - $209,000 USD

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Your responsibilities will include:

• Supporting application security reviews for services, APIs, and new product features across the VGS platform.
• Helping identify, validate, and track security findings from static analysis, dependency scanning, container scanning, and other security testing tools.
• Participating in threat modeling and secure design discussions with engineering teams during feature development.
• Evaluating the security of AI-enabled development workflows, including internal AI systems integrated into the SDLC.
• Assisting with manual testing and validation of web application and API security issues.
• Helping improve secure SDLC processes by contributing to developer guidance, secure coding resources, and repeatable review checklists.
• Working with engineers to understand remediation options and clearly document security risks and recommendations.
• Contributing to improving security tooling and guardrails in CI/CD and development workflows.

We're looking for someone with a strong interest in secure software design, cloud-native architectures, and automation. You should have a foundational understanding of application security concepts, such as the OWASP Top 10, API security, authentication and authorization, secure coding, and common software vulnerabilities.

At VGS, we have a remote-first philosophy, and we're looking for someone who is comfortable working independently and collaboratively as part of a team.

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This is a senior individual contributor role responsible for end-to-end infrastructure ownership , spanning on-premises systems, cloud platforms, endpoint environments, identity services, and local engineering support.

The Staff Systems Administrator operates with significant independence, defining priorities, executing improvements, and ensuring operational resilience with minimal oversight.

This role requires a self-starter who can design, implement, support, and continuously improve infrastructure in a secure, performance-driven environment while also maintaining hands-on ownership of end-user systems and service delivery.

You will function as the accountable infrastructure lead for your environment, ensuring it remains secure, compliant, scalable, and highly available , while continuing to deliver responsive support to engineering and business teams.

Infrastructure Ownership (On-Prem & Cloud):

• Own and operate on-premises and cloud infrastructure, including servers, virtualization, storage, identity platforms, and core enterprise services.

• Administer Azure/AWS environments, ensuring availability, performance, monitoring, backup, and disaster recovery readiness.

• Maintain secure system configurations, patching, vulnerability remediation, and infrastructure hardening.

• Operate effectively within a controlled, security-sensitive environment with segmented systems and defined access boundaries.

• Identify risks and independently drive modernization, scalability, and resilience improvements.

Identity, Security & Operational Excellence:

• Administer Active Directory and Entra ID (Azure AD), enforcing role-based access and secure configuration standards.

• Ensure compliance with internal controls, documentation requirements, and audit readiness expectations.

• Own IT asset lifecycle management, vendor coordination, licensing oversight, and operational reporting.

• Contribute infrastructure patterns and operational standards that can scale across similar environments.

End-User & Engineering Support:

• Provide hands-on support across Windows, macOS, and Linux endpoints, including advanced troubleshooting and escalation management.

• Lead onboarding and offboarding processes, including device provisioning, access configuration, and endpoint compliance validation.

• Support engineering systems, lab environments, and secure connectivity needs.

• Remove operational IT friction so engineers and business teams remain focused on mission delivery.

Required qualifications:

• 12+ years of experience in systems administration, enterprise IT operations, or infrastructure engineering.

• Demonstrated experience independently owning and operating IT infrastructure in complex environments.

• Strong hands-on expertise across:

• Windows, macOS, and Linux systems

• Server administration and virtualization

• Cloud platforms (Azure and/or AWS)

• Identity platforms (Active Directory, Azure AD / Entra ID)

• Experience managing infrastructure in segmented, regulated, or security-sensitive environments.

• Strong networking fundamentals (TCP/IP, DNS, DHCP, VPN, firewall concepts).

• Experience with endpoint management platforms (Intune, Jamf, or equivalent).

• Experience implementing backup, disaster recovery, and monitoring solutions.

• Strong documentation discipline and operational rigor.

• Proven ability to work with minimal supervision and drive outcomes independently.

Preferred qualifications:

• Experience supporting engineering, R&D, or defense-oriented teams.

• Experience operating in startup or high-growth environments.

• Familiarity with DevOps tooling (Azure DevOps, GitHub, CI/CD environments).

• Scripting or automation experience (PowerShell, Bash, Python).

• Experience supporting air-gapped or isolated infrastructure environments.

• ITIL knowledge or certifications.

• Relevant industry certifications (Microsoft, AWS, VMware, CompTIA, etc.).

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As a Security Engineer, you will be the technical authority on how Saronic builds, ships, and runs secure software. You will lead secure code review, SAST, DAST, and fuzzing efforts, and define secure coding standards for Rust development including memory safety practices, safe FFI boundaries, and secure error handling.

You will conduct threat modeling for software systems and translate findings into actionable security requirements integrated into design reviews and sprint planning. You will drive vulnerability management for software dependencies, including tracking, prioritization, and remediation of vulnerabilities in third-party crates and libraries.

You will secure and harden NixOS configurations for vessel platforms and development infrastructure, leveraging Nix's reproducibility and declarative model for security enforcement. You will design system hardening profiles in NixOS including kernel hardening, service isolation, mandatory access controls, and minimal attack surface configurations.

You will define and enforce package management and dependency policies within the Nix ecosystem, ensuring build closures are auditable, reproducible, and free from unauthorized or vulnerable packages. You will architect secure system update and rollback mechanisms using NixOS capabilities, ensuring fleet-wide consistency and integrity.

You will design and implement security controls across the CI/CD pipeline including source integrity, build isolation, artifact signing, and deployment verification with build environments that are ephemeral, isolated, and hardened.

You will build and maintain software supply chain security practices aligned to SLSA framework principles, including provenance tracking, hermetic builds, signed attestations, and SBOM generation.

You will integrate security scanning (SAST, SCA, container scanning, secrets detection) into CI/CD pipelines as automated guardrails, and create self-service pipeline templates that enable teams to ship without bottlenecks.

You will design secure deployment patterns for vessel software updates, including secure delivery, integrity verification, and rollback capabilities.

You will implement runtime application security controls including logging, monitoring, and anomaly detection for deployed services.

You will define software and systems security standards, patterns, and reference architectures that engineering teams adopt as the default secure path.

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Key Responsibilities:

• Design, implement, and support enterprise-grade network solutions, with a focus on scalability, security, and performance.
• Administer and maintain Cisco Catalyst switches and Aruba wireless infrastructure to support wired and wireless connectivity across multiple locations.
• Manage and secure network perimeters using Palo Alto firewalls and configure site-to-site and client-based VPN connections.
• Monitor network health and performance using SolarWinds or other monitoring tools; respond to alerts and resolve issues proactively.
• Lead infrastructure upgrade projects, network segmentation, and expansion efforts, ensuring minimal disruption to operations.
• Collaborate with cross-functional teams to integrate network services with cloud and hybrid environments.
• Conduct in-depth troubleshooting and root cause analysis for complex network issues, including hardware, software, and configuration anomalies.
• Develop and maintain comprehensive network documentation, including topology diagrams, IP schemas, and operational procedures.
• Ensure compliance with security standards and assist with internal/external audits as required.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• 7+ years of experience in enterprise network engineering roles.
• Strong expertise with Cisco Catalyst switches and Aruba wireless technologies.
• Proven experience configuring and managing Palo Alto Networks firewalls and VPN solutions.
• Proficient in network monitoring and alerting using SolarWinds or similar platforms.
• Solid understanding of Layer 2/3 protocols, including VLANs, STP, BGP, OSPF, and EIGRP.
• Familiarity with security frameworks, access control policies, and segmentation strategies.
• Experience supporting networks in hybrid or cloud environments (AWS/AWS GovCloud, Azure, or GCP) is a plus.
• Excellent communication, organizational, and documentation skills.
• Ability to manage multiple projects and priorities in a dynamic environment.

Preferred Qualifications:

• Advanced degrees or certifications such as CCNP, CCIE, or PCNSE
• Experience with Zero Trust Network Architecture (ZTNA) design and SASE/SSE implementation.
• Working knowledge of network automation using scripting tools (e.g., Python, Ansible).
• Familiarity with NAC (Network Access Control) solutions and 802.1X implementations.
• Prior experience supporting IT operations in regulated industries (e.g., defense, healthcare, finance).
• Exposure to SD-WAN, IPAM, and advanced QoS configurations.
• Experience with disaster recovery and business continuity planning for network services.

Additional Information: Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services
• Saronic pays 100% of the premium for employees and 80% for dependents
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
• Saronic pays 100% of the premium under the basic plan for employees and 80% for dependents
• Time Off: Generous PTO and Holidays
• Parental Leave: Paid maternity and paternity leave to support new parents
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses
• Retirement Plan: 401(k) plan with company match
• Stock Options: Equity options to give employees a stake in the company’s success
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage
• Pet Insurance: Discounted pet insurance options including 24/7 Telehealth helpline
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

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About the company: The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. KoBold Metals builds AI models for mineral exploration and deploys those models,alongside our novel sensors,to guide decisions on KoBold-owned-and-operated exploration programs.

About The Role: In this role, you will partner with exploration and engineering teams to build reliable, scalable infrastructure that makes it easier to turn data and models into real-world exploration insights. You will improve observability, streamline MLOps workflows, and maintain shared tools like JupyterHub that enable faster experimentation and collaboration. Your work will help create a solid foundation for scientists and engineers to focus on discovery instead of infrastructure.

Responsibilities

• Design, build, and operate compute infrastructure that is both scalable and reliable to support critical services.
• Work closely with engineering teams to embed observability, reliability, and security throughout the software development process.
• Create and maintain automation for monitoring, deployments, and incident response to keep operations efficient and predictable.
• Lead or support capacity planning, performance reviews, and system tuning to ensure stable and efficient systems.
• Join the on-call rotation and take part in incident response, troubleshooting, and resolution.
• Develop and refine monitoring and alerting to catch issues early and reduce downtime.
• Establish and maintain disaster recovery and business continuity practices that protect the organization against failures.
• Regularly review and improve our tools and processes to strengthen system visibility and reliability.
• Investigate points of fragility in distributed systems and understand how complex systems behave under stress in order to improve resilience.
• Continually learn about mineral exploration through reading, discussions with exploration team members, periodic rotation on an exploration team and time in the field with geologists

Qualifications

• 5+ years of experience as an Infrastructure Engineer, Site Reliability Engineer or in a similar role
• Strong scripting and programming skills (Python, Go, Java or JavaScript/ Node.js )
• Experience with IaC tools like Terraform and container orchestration tools like Kubernetes and Docker
• Experience with cloud platforms such as AWS
• Experience operating or administering JupyterHub in a multi-user environment
• Understanding of MLOps workflows, including model training, deployment, and related tooling
• Excellent communication & collaboration skills and a continuous improvement mindset
• Proven ability to troubleshoot complex issues and implement effective solutions
• Proven ability to thrive in dynamic and evolving environments, effectively navigating uncertainty and incomplete information.
• Proven ability to grow expertise, influence & educate others
• Comfortable making informed decisions with limited data, adapting quickly to new circumstances, and maintaining focus on strategic objectives while driving clarity for the team.
• Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
• Ability to explain technical problems to and collaborate on solutions with domain experts who are not infrastructure engineers. A strong communicator who enjoys working with colleagues across the company.
• Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities.
• Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.

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You will work closely with engineering, product, and operations teams to embed security best practices from design through to deployment.

Key responsibilities include:

Supporting the execution of a comprehensive product security strategy that aligns with the company's goals and risk appetite. Working hands-on across code, infrastructure, and CI/CD to create agents, services, and pipelines that detect, prevent, and remediate risks leveraging AI where it adds value. Designing, building, and operating security automation for the SDLC (code scanning, dependency risk management, secrets detection, policy-as-code) integrated into CI/CD. Performing manual design and implementation reviews of Greenlight products and services from a security perspective. Establishing and enforcing secure development standards (i.e., API security, security patterns, IaC, etc.) and best practices across the organization. Serving as a subject matter expert on the practical security of our AI and LLM ecosystem. Leading threat modeling exercises for novel AI systems applying advanced security and privacy best practices. Leveraging automations and tools to continuously test, fuzz, and validate products and platform components for security issues. Performing penetration testing and retesting to validate fixes. Responsible for triaging findings from security researchers and leading incident response for PSIRT. On-call support for incident response and leading product-related security events and vulnerabilities. Fostering a culture of security awareness and ownership across the Engineering and Product organizations. Staying current with the latest security threats, vulnerabilities, and industry best practices to continuously evolve our security controls and processes.

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Your day-to-day will involve leading security architecture/design review and threat modeling sessions with product and engineering teams, translating threats into actionable, risk-rated engineering remediations prioritized by severity, conducting hands-on penetration testing and security assessments across our full product stack, and driving PSIRT operations by triaging incoming vulnerability reports, leading technical investigations, coordinating remediation with engineering, scoring severity (CVSS), managing coordinated disclosure with external researchers, and on-call incidents.

You will also shape the posture of our AI-assisted development environment, defining and enforcing enterprise policies for Claude and Cursor, and partner across the organization, sitting in design review with architects, advising product managers and engineering teams on security and compliance implications of new features, briefing executives on emerging AI threats, mentoring junior security engineers, and collaborating with the AI team on securing ML pipelines.

As a champion of security culture, you will run developer training on secure coding with AI assistants, evangelize security by design for products, and ensure every engineer understands that product security is an enabler and not a gate.

You will bring 10+ years of product security experience spanning application security, cloud security, and secure SDLC, expert-level threat modeling using STRIDE, PASTA, or equivalent across web, mobile, cloud, embedded, and AI systems, hands-on penetration testing skills across applications, API, cloud infrastructure, and hardware/firmware, and deep hands-down AI security expertise and expert-level understanding of OWASP Top 10 for LLM, API, Web, Mobile, and practical experience with MITRE.

You will have strong hands-on experience in security tools SAST, DAST, SCA, and securing AI development tools specifically Claude and Cursor, and understand MCP security risks and know how to architect enterprise guardrails that enable safe AI-assisted development.

You will also have strong programming ability and capability to review code, build security tools, automate workflows, and be credible with the engineering teams you partner with.

Preferred experience includes hardware and embedded security experience with knowledge of secure boot, firmware integrity, hardware root of trust, and IoT threat modeling experience, and experience in the Financial industry, knowledge of PCI DSS, COPPA, or demonstrated ability to learn regulated domains quickly.

Work perks at Greenlight include medical, dental, vision, and HSA match, paid life insurance, AD&D, and disability benefits, traditional 401k with company match, unlimited PTO, paid company holidays and pop-up bonus holidays, professional development stipends, mental health resources, 1:1 financial planners, fertility healthcare, 100% paid parental and caregiving leave, plus cleaning service and meals during your leave, flexible WFH, both remote and in-office opportunities, fully stocked kitchen, catered lunches, and occasional in-office happy hours, and employee resource groups.

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In this role, you'll have the opportunity to learn and grow with our company as we expand our infrastructure, both on-prem and in-cloud. You'll be responsible for driving development work for physical systems, network devices, and virtual machines, as well as implementing corporate security policies into all systems.

The ideal candidate will have a thirst for knowledge, a desire to learn and grow, and experience configuring, operating, and maintaining virtualization hosts, DDI systems, network and security infrastructure, backup and disaster recovery systems, and wireless networking.

Responsibilities:

• Drive development work for physical systems, network devices, and virtual machines
• Implement corporate security policies into all systems
• Drive updates and patching
• Handle tier-two escalations, write runbooks, and do knowledge transfer to systems engineers on the team

Requirements:

• Thirst for knowledge / desire to learn and grow
• Ability to effectively debug hard problems on a range of systems types
• Infrastructure Systems Experience: experience configuring, operating, and maintaining virtualization hosts, DDI systems, network and security infrastructure, backup and disaster recovery systems, and wireless networking

Nice-to-haves:

• Scripting: Practical scripting and automation experience, including git, Bash, Python, Ansible, Terraform, Kubernetes, REST APIs, etc.
• Comfort working with AI tools / processes and effective prompting
• Cloud: Experience provisioning and using resources in AWS (or other clouds)
• File servers and NAS (disk and flash-based) - basic knowledge and understanding of storage is required but specific / detailed knowledge of a specific system or format is not required
• iSCSI knowledge
• Access and identity systems (SSO, LDAP, VPN, …)

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At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide,and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path.

Deploy and configure security tools for Software Composition Analysis (SCA), Static Application Security Testing (SAST), and Dynamic Application Security Testing (DAST), including project onboarding, configuration, and policy management.

Integrate security controls into CI/CD pipelines, such as quality gates, reporting mechanisms, and threshold management, to ensure early vulnerability detection.

Automate the collection, normalization, and publication of security results using dashboards, artifacts, and notifications.

Implement and manage dependency updates with tools like Dependabot and Renovate, including automated pull requests and update strategies.

Contribute to documentation (integration guides, best practices) while collaborating with development and infrastructure teams to improve the developer experience.

Participate in the analysis, prioritization, and tracking of security findings and remediation efforts.

Currently pursuing a Master’s degree or equivalent in cybersecurity, software engineering, DevOps/Cloud, or a related field.

Comfortable working in both Windows and Linux environments.

Understanding of CI/CD concepts and a keen interest in DevSecOps practices.

Experience with programming/scripting languages such as Python, Bash, Go, or Rust is a plus.

Familiarity with build and tooling systems (e.g., Bazel, Docker) and SDLC tools (e.g., Mend, Dependabot, Renovate).

Autonomy, attention to detail, strong problem-solving skills, and effective communication for collaboration within multidisciplinary teams.

Fluent/Professional English

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This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers.

We believe the future of the web, and work, is more open, more creative, and more equitable. And we’re here to build it together.

We're looking for an Engineering Manager, Datastores to lead the team responsible for the reliability, scalability, and evolution of Webflow’s core production databases , primarily MongoDB and PostgreSQL. This team operates at the heart of our application and hosting stack, enabling product teams to ship confidently while maintaining high standards of performance, durability, security, and data residency.

Webflow’s product and hosting platform operates at a significant scale. The Datastores team sits at a critical boundary between application velocity and system durability. This is a high-leverage leadership role at the core of Webflow’s infrastructure strategy.

About the role:

• Lead and grow a team of Database engineers responsible for MongoDB and PostgreSQL in production.
• Own the operational excellence of our database layer, including availability, durability, performance, cost efficiency, and data residency.
• Drive roadmap and strategy for multi-region architecture, backup and disaster recovery, indexing and schema governance, capacity planning, and infrastructure automation (Pulumi/Terraform).
• Partner with Product Engineering to guide new access patterns, review high-impact launches for database risk, and establish guardrails that enable velocity without compromising reliability.
• Improve reliability through proactive failure-mode detection, clear SLOs, actionable alerting, and high-quality incident response and retrospectives.
• Build self-service tooling and paved roads for migrations, connection management, indexing, and query best practices.
• Mentor and grow senior and staff engineers while contributing to broader infrastructure strategy across AWS, Kubernetes, and stateful systems architecture.

About you:

• BS / BA college degree or relevant experience
• Business-level fluency to read, write and speak in English
• 2+ years of experience leading high-performing engineering teams.
• 6+ years of hands-on experience operating and scaling production databases (MongoDB and/or PostgreSQL preferred).
• Experience running business-critical, high-throughput systems with strong availability and durability requirements.

You’ll thrive in this role if you:

• Bring deep expertise in operating and scaling production databases (e.g., replication, failover, indexing, query planning, migrations) and have led teams supporting stateful, multi-region systems with strict uptime requirements.
• Balance strong architectural judgment with pragmatism , evolving our datastore strategy while enabling product teams to ship quickly and safely.
• Think in terms of SLOs, capacity models, and long-term architectural trade-offs, with hands-on experience in infrastructure as code (Pulumi/Terraform), Kubernetes, and AWS.
• Bring strong systems-level thinking to performance and reliability, identifying root causes across application, database, and infrastructure layers and building preventative solutions.
• Lead calmly through high-severity incidents, drive blameless postmortems and systemic improvements, and build strong cross-functional relationships grounded in craftsmanship and continuous improvement.
• Stay curious and open to growth-Demonstrate a proactive embrace of AI, actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.

Our Core Behaviors:

• Build lasting customer trust.
• Win together.
• Reinvent ourselves.
• Deliver with speed, quality, and craft.

Benefits:

• Ownership in what you help build.
• Health coverage that actually covers you.
• Support for every stage of family life.
• Time off that’s actually off.
• Wellness for the whole you.
• Invest in your future.
• Monthly stipends that flex with your life.
• Bonus for building together.

Be you, with us:

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.

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Your mission is to empower our software engineering team with seamless workflows while securing our production environments.

Responsibilities:

• Build, monitor, and enhance CI/CD pipelines to streamline development workflows and accelerate deployments.
• Design, operate and maintain scalable, reliable and secure multi-cloud infrastructures
• Identify areas for improvement and create innovative solutions that enable high developer velocity

Team Collaboration & Advocacy:

• Standardize DevOps practices to ensure consistency across all engineering teams.
• Establish measurable KPIs for security performance, reliability, and compliance adherence.
• Partner with development and operations teams to embed security into daily workflows.
• Lead training initiatives to upskill teams on secure coding, threat modeling, and incident response.
• Champion a security-first mindset, driving cultural adoption of DevSecOps principles across the organization.

About you:

• 5+ years of successful experience in a similar role (DevOps, Developer Experience, Platform Engineer, Internal tooling engineer, SRE...)
• Strong proficiency in scripting languages (Go, Python...) and software development best practices.
• Developer experience engineering: developer workflow optimization, tooling and automation for productivity, real-time developer support and escalation paths
• Site Reliability Engineering: CI/CD, containerization, orchestration, infra-as-code, monitoring, logging, alerting, observability...
• Exposure to multi-cloud infrastructures (AWS / GCP / Azure or On-Prem)
• Security Tools & Approaches: OWASP, SAST, DAST, SCA, vulnerability scanners

Proven problem-solving and communication skills — ability to contextualizing, gauging risks and getting buy-in for high stakes and impactful solutions.

Ownership, high agency and desire to improve things for others.

Autonomy, self-drive and ability to work well in a fast-paced startup environment.

Low ego and team spirit mindset.

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We are looking for an FBS Infrastructure Service Delivery Specialist to join our team. As a key member of our infrastructure team, you will be responsible for implementing and enforcing IT policies and procedures, supporting overall governance functions across Farmers' managed Cloud environments, and collaborating with other towers within Cloud Transformation to ensure compliance.

Responsibilities:

• Implement and enforce IT policies and procedures.
• Support overall governance functions across Farmers' managed Cloud environments.
• Collaborate with other towers within Cloud Transformation to ensure compliance.
• Organize Disaster Recovery Tests while also creating and maintaining DR documentation.
• Work alongside internal testers, auditors, and external parties in support of Audit and Compliance.
• Assist with remediation efforts for non-compliant infrastructure requirements.
• Perform other job-related duties as assigned.

Requirements:

• 3+ years of experience within IT with preference of Infrastructure, operations, audit, or compliance experience.
• General understanding of Cybersecurity Frameworks.
• Familiarity with Disaster Recovery concepts.
• Excellent project management and organizational skills.
• Data Visualization and Power App experience a plus.

Benefits:

This position comes with a competitive compensation and benefits package, including a competitive salary and performance-based bonuses, comprehensive benefits package, flexible work arrangements, private health insurance, paid time off, and training & development opportunities in partnership with renowned companies.

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We are looking for an FBS Infrastructure Service Delivery Specialist to join our team. As a key member of our infrastructure team, you will be responsible for implementing and enforcing IT policies and procedures, supporting overall governance functions across Farmers' managed Cloud environments, and collaborating with other towers within Cloud Transformation to ensure compliance.

Responsibilities:

• Implement and enforce IT policies and procedures.
• Support overall governance functions across Farmers' managed Cloud environments.
• Collaborate with other towers within Cloud Transformation to ensure compliance.
• Organize Disaster Recovery Tests while also creating and maintaining DR documentation.
• Work alongside internal testers, auditors, and external parties in support of Audit and Compliance.
• Assist with remediation efforts for non-compliant infrastructure requirements.
• Perform other job-related duties as assigned.

Requirements:

• 3+ years of experience within IT with preference of Infrastructure, operations, audit, or compliance experience.
• General understanding of Cybersecurity Frameworks.
• Familiarity with Disaster Recovery concepts.
• Excellent project management and organizational skills.
• Data Visualization and Power App experience a plus.

Benefits:

This position comes with a competitive compensation and benefits package, including a competitive salary and performance-based bonuses, comprehensive benefits package, flexible work arrangements, private health insurance, paid time off, and training & development opportunities in partnership with renowned companies.

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As an FBS Infrastructure Service Delivery Specialist, you will be responsible for implementing and enforcing IT policies and procedures, supporting overall governance functions across Farmers' managed Cloud environments, and collaborating with other towers within Cloud Transformation to ensure compliance. You will also organize Disaster Recovery Tests, create and maintain DR documentation, and work alongside internal testers, auditors, and external parties in support of Audit and Compliance. Additionally, you will assist with remediation efforts for non-compliant infrastructure requirements and perform other job-related duties as assigned.

We are looking for a candidate with 3+ years of experience within IT, preferably in Infrastructure, operations, audit, or compliance. You should have a general understanding of Cybersecurity Frameworks, familiarity with Disaster Recovery concepts, and excellent project management and organizational skills. Data Visualization and Power App experience is a plus.

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This role sits within Aladdin Platform Engineering and focuses on the infrastructure and platform services required to support machine learning models, large language models (LLMs), and emerging AI capabilities in production. The successful candidate will work closely with AI Engineers, Data Scientists, Platform Engineers, Security, and Product partners to deliver resilient, cloud native AI platforms in a highly regulated environment.

Key Responsibilities

• Design, build, and operate AI-focused infrastructure platforms supporting model development, training, evaluation, and inference.
• Engineer scalable, reliable, and secure cloud-native services to support AI workloads across AWS, Azure, and hybrid environments.
• Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems.
• Enable production deployment of ML models and LLMs within governed enterprise environments, aligned with firmwide risk and compliance standards.
• Implement and maintain infrastructure as code and automation to ensure repeatable, auditable platform provisioning.
• Build and operate observability, monitoring, and alerting solutions for AI platforms, ensuring availability, performance, and cost transparency.
• Collaborate with Security and Risk partners to integrate identity, access controls, data protection, and governance into AI infrastructure.
• Contribute to architectural decisions and technical standards for AI platforms across Aladdin.
• Participate in on-call rotations and operational support as required for critical platforms.
• Continuously evaluate emerging AI infrastructure technologies and apply them pragmatically within BlackRock’s enterprise context.

Qualifications

• Strong experience in cloud infrastructure, platform engineering, or systems engineering roles.
• 4+ hands-on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage, and security services.
• Understanding of ML platform operations and governance concepts, including model deployment strategies, lifecycle management, monitoring/observability, and Disaster Recovery
• Experience supporting LLMs, generative AI platforms, or model serving infrastructure.
• Experience supporting AI and machine learning workloads, with exposure to managed compute for model training and fine-tuning, experimentation over large datasets, and end-to-end MLOps pipeline flow including data ingestion, training, validation, and deployment.
• Proficiency with Infrastructure as Code tools (e.g., Terraform, ARM/Bicep, CloudFormation).
• Strong programming or scripting skills (e.g., Python, Bash, or similar).
• Experience building and operating containerized and Kubernetes-based platforms.
• Solid understanding of reliability, scalability, observability, and operational best practices.
• Ability to work effectively in cross-functional teams and communicate complex technical concepts clearly.

Our Benefits

To help you stay energized, engaged, and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge, and be there for the people you care about.

Our Hybrid Work Model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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Responsibilities:

• Implementing an Enterprise ASPM framework, driving 'Shift Left' security integration (SAST, DAST, SCA) into developer workflows, and managing the security of the software supply chain, including Software Bill of Materials (SBOM) for off-board services.

• Protecting 'North-South' and 'East-West' traffic, establishing API governance, securing multi-cloud infrastructure for Software-Defined Vehicles (SDV) and OTA updates, directing Zero Trust Architecture strategies, and overseeing modern identity protocols like OAuth2, OIDC, and FIDO.

• Directing Ford's Vehicle PKI strategy, managing cryptographic lifecycles with KMS and HSMs, and leading the transition to quantum-resistant cryptographic standards.

• Securing the end-to-end charging value chain (BlueOval Charge Network, home charging, commercial depots), implementing 'Plug & Charge' (ISO 15118), and partnering with external entities for Critical Infrastructure Protection (V2G, bi-directional power flow).

Qualifications:

• Bachelor's degree in Computer Science, Cybersecurity, or Engineering (Master's or PhD highly preferred).

• 15+ years in Cybersecurity or Software Engineering, with at least 7 years in a senior leadership role within a global Fortune 100 enterprise.

• Proven track record of managing large-scale PKI deployments, securing cloud-native microservices, and implementing enterprise-grade IAM and DevSecOps programs.

• Exceptional ability to translate deeply technical cryptographic and infrastructure risks into business-impact narratives for non-technical stakeholders.

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Key Responsibilities:

• Overall administration and management of growing hybrid and pure cloud solutions
• Plan, deploy & support Azure Windows Desktop Services (WDS) implementations
• Mobile Device Management - InTune policy management
• Azure migration from On-Prem/Cloud to Azure Platform, Microsoft SQL
• Build, deploy and support technologies for an Azure platform
• Automation of Azure infrastructure
• Support Azure Architecture (IaaS & PaaS)
• In depth experience of ARM and PowerShell Scripting using a GIT repository
• Azure tenancy and subscription management
• Creation of auto-remediate scripting for cloud resources
• Demonstrate optimization techniques and strategy
• Creation of YAML pipelines with Azure DevOps
• Creation and enforcement of security policies to CIS standards
• Assist regional teams in creating practical demonstrations of proposed solutions and demonstrating them to other members of the team
• Provide detailed specifications for proposed solutions including materials, mockups and time necessary
• Mentor and train other engineers throughout the company and seek to continually improve processes companywide
• Work alongside project management teams to successfully monitor progress and complete implementation

Requirements:

• 5+ years experience in a similar role
• Cloud Engineer, IT Administrator, Systems Engineer
• Scripting (PowerShell, Azure CLI)
• A strong understanding of the Azure & Office 365 ecosystem
• Hands on experience of ARM Templates / JSON
• Azure data protection and security architecture/features
• Azure Administrator certification (e.g. AZ-104, AZ-400; AZ-303; AZ-304) is required
• Disaster Recovery / High Availability technologies
• Azure DevOps
• Azure Active Directory
• Azure server-less architecture
• Experience managing: Amazon AWS, Azure, Google Cloud an advantage

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Team

The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software.

The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will support one of these areas while contributing across others, with your focus shaped by your strengths and the team's priorities.

Responsibilities:

• Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments
• Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security
• Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments
• Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies.
• Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement
• Identify and remediate security gaps through code review, threat modeling, and hands-on debugging
• Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation

You may be a good fit if you have:

• At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production
• Bachelor's degree in Computer Science or equivalent industry experience
• Strong programming skills in Python or at least one systems language such as Go or Rust
• Experience contributing to cloud security controls
• A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix
• Clear communication skills and the ability to work collaboratively across engineering teams
• Low ego and high empathy, with a genuine interest in helping teammates succeed
• Passion for AI safety and the role security engineering plays in building trustworthy AI systems

Strong candidates may also have:

• Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure
• Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers
• Experience with cloud security posture management tooling, infrastructure-as-code security scanning, or automated remediation
• Experience with network security and isolation techniques including east-west controls, traffic inspection, and cloud network policy
• Experience with eBPF for security monitoring and enforcement, or developing kernel security policies
• Experience building secrets management or workload authentication systems, including familiarity with protocols such as OAuth 2.0, OIDC, SAML, or SPIFFE/SPIRE
• Background building or operating security systems in environments that support research workflows and rapid iteration

Deadline to apply:

None. Applications will be reviewed on a rolling basis.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of unsolicited messages or requests for sensitive information.

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Product Manager, Codex

Location

San Francisco

Employment Type

Full time

Location Type

On-site

Department

Product Management

Compensation

• $255K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great in the Codex.

About the Role

As the product manager on Codex, you will lead the development of a highly technical product designed for a technical audience. Much of the work is 0–1, requiring you to shape product direction amid ambiguity and shape what the future of agents will look like. You’ll partner closely with world-class engineers and researchers to bring cutting-edge capabilities into the hands of developers, and you’ll shape how our AI tools support software development workflows.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Shape product strategy for Codex, from early concepts through launch and iteration.

• Collaborate with engineering and research to translate breakthroughs into usable, high-value developer experiences.

• Deeply understand developer workflows and identify opportunities where AI can make them faster, more intuitive, and more powerful.

• Navigate ambiguity and make thoughtful trade-offs in 0–1 product environments.

• Partner with cross-functional teams to deliver quickly while maintaining a high bar for technical quality and user experience.

You might thrive in this role if you:

• Bring a strong technical background and have recently shipped code to production

• Have a deep intuition for developer workflows and a passion for building tools that make coding more productive and enjoyable.

• Can define product direction in ambiguous, 0–1 environments and rally teams around it.

• Demonstrate strong product intuition, making thoughtful prioritization and sequencing decisions.

• Have experience driving execution across engineering, design, and research.

• Bring an entrepreneurial mindset and adaptability, whether from startup or high-growth company environments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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