As a Software Developer within the Quality Verification Engineering (QVE) Team, you will report to the Engineering Manager. You will work closely with the Battlefield Franchise to design, implement, and maintain AI bot systems for automated multiplayer playtesting, ensuring realistic simulation of player behaviour across game modes and maps.

Responsibilities:

• Design, implement, and maintain AI bot systems for automated multiplayer playtesting, ensuring realistic simulation of player behaviour across game modes and maps.
• Develop and iterate bot behaviour systems - including movement, combat, interaction, and coordination - using a hierarchical architecture shared across titles.
• Collaborate with designers and QA engineers to translate gameplay scenarios into testable bot behaviours, using visual scripting-based authoring tools.
• Build telemetry pipelines that capture detailed per-bot event data, enabling downstream analysis, regression testing, and behaviour validation.
• Investigate and resolve bot failures surfaced during automated playtest sessions, including pathfinding edge cases, network desynchronisation, and complex gameplay system interactions.
• Contribute to architecture modernisation efforts, refactoring monolithic systems into composable, maintainable patterns and eliminating cross-module duplication.
• We welcome prior ML experience, but do not require it, as you participate in exploratory research on machine learning-driven bot behaviours, including early-stage reinforcement learning experiments.
• Review peers' code, provide constructive feedback, and contribute to shared documentation and engineering best practices.

Qualifications:

• 5+ years of software engineering experience with computer science foundation.
• Proficiency in C++ is required; experience with game engine internals (entity systems, spatial queries, physics integration) is a strong asset.
• Experience designing or working with AI behaviour systems (e.g., finite state machines, behaviour trees, utility-based systems).
• Experience with automated testing infrastructure - playtesting pipelines, telemetry systems, or replay-driven regression testing - is a significant plus.
• Demonstrated ability to improve maintainability in complex codebases: extracting abstractions, reducing duplication, and modernising legacy patterns.
• Familiarity with game development pipelines and shipped game engines (e.g., Frostbite, Unreal, or Unity) would be an asset.
• We welcome exposure to machine learning concepts - particularly reinforcement learning - as a bonus; no prior production ML experience is required by us.

XML job scraping automation by YubHub

Key responsibilities include setting the UX vision and principles across player, creator, marketplace, and safety experiences, owning multi-surface design across mobile and PC, building and scaling a unified design system, leading creator experience design, elevating player journeys, institutionalizing research and insights, operationalizing experimentation, championing accessibility and inclusive design, establishing Design Ops, codifying regional UX playbooks, and recruiting, coaching, and retaining talent.

Requirements include 10+ years in Product/UX Design for consumer platforms, including 5+ years leading multi-disciplinary design teams, a portfolio demonstrating platform-scale UX, creator/tooling design, and design-system leadership, expertise in mobile-first design with strong cross-platform sensibilities, proven experience shipping at least two of: creator tooling, content discovery/feeds, social/UGC features, marketplace/economy surfaces, or safety/identity systems, and excellent cross-functional leadership and communication.

XML job scraping automation by YubHub

$266K – $295K • 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.

About the team

OpenAI didn’t begin as a traditional company. It began as an idea: that artificial intelligence could be developed in a way that benefits everyone. As a creative team, our role is to help make sure the work behind that idea is understood, as it leaves the lab and meets the world.

About the role

We’re looking for a Brand Identity Lead to define and evolve the visual language of OpenAI. This role is responsible for shaping the identity systems that help the world understand our work.

As a senior member of the design team, you will lead the development of OpenAI’s core visual language across products, campaigns, events, and out-of-home experiences. You’ll partner closely with product, marketing, motion, and leadership teams to ensure our brand remains clear, consistent, and expressive as OpenAI continues to grow.

What you'll do in this role:

• Lead the evolution of OpenAI’s visual identity

• Own the development and evolution of OpenAI’s identity systems including logos, typography, color systems, and core visual principles.

• Ensure the brand remains recognizable, cohesive, and adaptable across new products and initiatives.

• Develop scalable brand systems

• Create and maintain scalable templates, component libraries, and documentation that enable teams across the company to produce high-quality, on-brand work across web, motion, print, events, and out-of-home environments.

• Connect product and brand expression

• Partner with product design to ensure the visual language of our interfaces and products extends naturally into brand storytelling.

• Translate product design language into expressive brand applications.

• Guide creative direction across touchpoints

• Provide creative direction across campaigns, launches, events, and major company moments to ensure the brand is expressed consistently and with a high level of craft.

• Steward brand standards across the organization

• Maintain and evolve brand guidelines while helping teams across OpenAI apply them effectively.

• Provide feedback, develop toolkits, and support teams in maintaining visual consistency across all channels.

• Lead and mentor designers

• Help grow the brand identity discipline at OpenAI by mentoring designers, providing design direction, and contributing to a culture of strong craft and thoughtful systems thinking.

You might thrive in this role if you:

• 10+ years of experience in brand or identity design with a portfolio demonstrating identity systems, logo design, and multi-channel brand work.

• Strong expertise in typography, color, layout, and motion.

• Experience building and evolving large-scale design systems that operate across digital and physical environments.

• Ability to lead creative direction while collaborating closely with product, marketing, engineering, and executive stakeholders.

• Strong communication and storytelling skills, with the ability to articulate design decisions and guide teams toward clear visual outcomes.

XML job scraping automation by YubHub

Your work directly impacts how thousands of customers identify, engage, and convert their ideal buyers. You'll partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption.

Key responsibilities include:

Strategic Leadership: Own product strategy and roadmap for identity resolution, defining vision and success metrics that drive measurable improvements in match rates and customer value Identify and prioritize opportunities to enhance identity resolution through new data sources, improved algorithms, and better data quality Evaluate, negotiate, and integrate 3rd party data partnerships that expand identity coverage and accuracy Define and track core metrics including visitor-to-person match rates, IP-to-company accuracy, coverage, latency, and downstream revenue impact Partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption

Execution Excellence: Deliver measurable improvements to identity resolution performance through rigorous prioritization, rapid experimentation, and iterative execution Diagnose and resolve data quality issues that impact match rates, customer trust, and product experience Build scalable monitoring and alerting systems that track identity resolution health and enable proactive issue detection Create frameworks for evaluating new data sources and measuring their incremental impact on resolution performance Conduct deep discovery using data analysis, customer interviews, and competitive research to uncover opportunities for improvement

Cross-Functional Partnership: Partner with Platform, Application, and Data teams to ensure seamless integration of identity data into customer-facing products Collaborate with data science and engineering to solve complex problems in entity resolution, probabilistic matching, and signal enrichment Work with analytics teams to instrument metrics, build dashboards, and enable data-driven decision making Enable go-to-market teams through training, documentation, and competitive positioning

What You Bring:

Required Qualifications: 5+ years of product management experience in data-intensive B2B SaaS environments, with focus on data products, identity systems, or platform-level capabilities Deep understanding of identity resolution, entity matching, IP-to-company mapping, visitor identification, and the evolving privacy landscape Technical fluency with SQL, Snowflake, and BI tools (Tableau, Looker) - ability to independently analyze data, diagnose issues, and make data-driven decisions Proven track record identifying, diagnosing, and resolving data quality issues at scale with understanding of coverage, accuracy, and freshness trade-offs Cross-functional leadership - demonstrated ability to influence and align engineering, product, data science, and go-to-market teams without formal authority Customer-centric mindset with experience optimizing adoption funnels and driving engagement for technical products Excellent communication skills - ability to translate complex technical concepts into clear, value-based narratives for executives and customers Bias for action - track record of moving quickly from insight to execution with iterative, test-and-learn approach B2B SaaS experience with enterprise data products, platform products, or GTM tools

Preferred Qualifications: Experience with AdTech, MarTech, or Real-Time Bidding (RTB) ecosystems Background in data science, engineering, or analytics prior to product management Familiarity with 3rd party data sourcing, evaluation, and integration Experience with probabilistic matching, entity resolution, or graph-based identity systems Knowledge of data privacy regulations and their product implications Experience in sales intelligence, marketing technology, or revenue operations domains

XML job scraping automation by YubHub

Location: Remote - USA

Description:

Airbnb is seeking a highly experienced Staff Software Engineer to join its Authorization Infrastructure team. The successful candidate will be responsible for designing, developing, and evolving Airbnb's authorization platform, shaping the roadmap, architecture, and delivery while ensuring high reliability, performance, and operational excellence at scale.

The Authorization Infrastructure team builds and operates Himeji, the authorization system powering over 8 million authorization checks per second that underpins every access to data and resources at Airbnb. Our mission is to make authorization reliable, secure, and correct by default, removing the burden from every team to solve access from first principles.

As a Staff Software Engineer on Authorization Infrastructure, you will own the long-term technical strategy and architectural direction of the authorization platform, defining how it evolves to support AI-era patterns including natural language policies, contextual access decisions, and multi-principal agentic workflows.

Success in this role means advancing Himeji's core architecture northstar, securing cross-team alignment on AI agent authorization, and establishing Airbnb-wide engineering standards for what 'paved path authorization' looks like at every product surface.

Responsibilities:

• Lead the design, development, and evolution of Airbnb's authorization platform, shaping roadmap, architecture, and delivery while ensuring high reliability, performance, and operational excellence at scale.

• Help drive the next generation of authorization for AI and agentic workflows, defining clear access models for agents and building systems that enforce correctness, least-privilege access, and end-to-end auditability.

• Partner with InfoSec, AI/ML Infra, Product, Privacy, and Data teams to align on authorization standards and drive adoption across the platform.

• Lead design and execution of high-impact, high-risk authorization initiatives across multiple teams and systems.

• Set and uphold engineering standards through design reviews, technical leadership, and mentorship of senior engineers.

Requirements:

• 10+ years of software engineering experience, with significant time designing and operating large-scale, high-reliability distributed systems.

• Deep expertise in authorization, access control, or identity systems, including policy models, permission frameworks, or trust infrastructure at production scale.

• Demonstrated track record of owning complex, cross-organizational technical strategy: authoring foundational RFCs, building alignment across teams with competing priorities, and making high-stakes architectural commitments.

• Experience influencing engineering standards beyond your immediate team, at the engineering council, org-wide, or across platform and product organizations.

• Strong communication and technical leadership skills, with the ability to engage effectively across engineering, security, product leadership, and external partners.

• Familiarity with AI agent architectures and the security and authorization challenges they introduce is a strong plus.

Benefits:

• Competitive salary range: $212,000-$265,000 USD

• Bonus, equity, benefits, and Employee Travel Credits

• Opportunity to work with a highly experienced team and contribute to the growth and success of Airbnb

• Flexible remote work arrangement

• Access to professional development opportunities and training programs

• Collaborative and dynamic work environment

• Opportunities for growth and advancement within the company

Note: The salary range is based on the provided information and may vary based on individual circumstances.

XML job scraping automation by YubHub

This role is not simply about running programs,it is about designing and scaling the engineering platforms, guardrails, and operating models that make secure and compliant product development the default across a rapidly growing, multi-cloud ecosystem.

As a Director of Engineering, Governance Foundation, you will lead a team of senior security engineers, partner with product and infrastructure leaders, and shape the foundational governance systems that enable Databricks to innovate quickly while maintaining world-class security and customer trust.

Your responsibilities will include:

• Defining the company-wide strategy for embedding security, privacy, and responsible data use across engineering workflows and platform components.

• Building scalable governance frameworks that help engineering teams design secure systems from the start, not after the fact.

• Establishing and leading a Security & Privacy Postmortem Review process that drives learning, accountability, and long-term resilience.

• Ensuring insights from incidents translate into systemic improvements across tools, infrastructure, and engineering culture.

• Rebuilding and scaling a Security Champions Network that brings security and governance expertise directly into product and infrastructure teams.

• Creating centralized enablement, tooling, and shared learning systems that allow thousands of engineers to integrate security seamlessly.

• Leading efforts to ensure responsible data use across AI/ML systems, SaaS environments, and internal workspaces.

• Defining and enforcing policies that uphold privacy, integrity, auditability, and proper data lifecycle management.

• Transforming security into a key enabler for engineering velocity.

• Delivering automation, self-service tools, and intelligent guardrails that reduce developer friction while increasing safety and compliance.

• Building JIT (Just-In-Time) security education and systems that proactively surface risky behaviour before it becomes an incident.

• Identifying and elevating Databricks' security posture to exceed DB50 customer expectations, including areas such as audit logging, controlled access workflows, secure asset import/export, behaviour monitoring and lineage.

• Partnering with security, IT, and compliance teams to ensure readiness for the most demanding enterprise and regulated environments.

To be successful in this role, you will need:

• 10+ years of experience in large-scale software engineering, with at least several years leading engineering managers and senior ICs.

• Strong technical grounding in backend systems, distributed systems, identity/security, or enterprise cloud platforms.

• Experience defining governance, security, or enterprise-grade platform capabilities.

• A background as a senior IC (e.g., Staff/Principal Engineer) at some point,this role requires deep technical credibility.

• Proven success hiring, developing, and retaining senior engineering talent.

• Expertise driving cross-functional technical programs with senior stakeholders.

• Experience building cloud-agnostic or multi-cloud services.

• Background in enterprise features such as access control, policy engines, compliance, or identity systems.

• Experience leading organisations through scaling phases in high-growth environments.

You will be rewarded with a competitive salary range of $255,900-$305,350 USD, plus eligibility for annual performance bonus, equity, and comprehensive benefits.

XML job scraping automation by YubHub

We are seeking a highly technical and influential Director of Engineering, Governance Foundation to define how security, privacy, and responsible data practices are built into the core of Databricks' products and infrastructure.

This role is not simply about running programs,it is about designing and scaling the engineering platforms, guardrails, and operating models that make secure and compliant product development the default across a rapidly growing, multi-cloud ecosystem.

Responsibilities

Security & Privacy Governance Architecture

• Define the company-wide strategy for embedding security, privacy, and responsible data use across engineering workflows and platform components.

• Build scalable governance frameworks that help engineering teams design secure systems from the start, not after the fact.

Incident Learning & Prevention

• Establish and lead a Security & Privacy Postmortem Review process that drives learning, accountability, and long-term resilience.

• Ensure insights from incidents translate into systemic improvements across tools, infrastructure, and engineering culture.

Security Champions & Distributed Expertise

• Rebuild and scale a Security Champions Network that brings security and governance expertise directly into product and infrastructure teams.

• Create centralized enablement, tooling, and shared learning systems that allow thousands of engineers to integrate security seamlessly.

Data Governance for Products & AI

• Lead efforts to ensure responsible data use across AI/ML systems, SaaS environments, and internal workspaces.

• Define and enforce policies that uphold privacy, integrity, auditability, and proper data lifecycle management.

Developer-Centric Security Enablement

• Transform security into a key enabler for engineering velocity.

• Deliver automation, self-service tools, and intelligent guardrails that reduce developer friction while increasing safety and compliance.

• Build JIT (Just-In-Time) security education and systems that proactively surface risky behaviour before it becomes an incident.

Security Maturity & Customer Trust

• Identify and elevate Databricks' security posture to exceed DB50 customer expectations, including areas such as:

• audit logging

• controlled access workflows

• secure asset import/export

• behaviour monitoring and lineage

• Partner with security, IT, and compliance teams to ensure readiness for the most demanding enterprise and regulated environments.

Requirements

• 10+ years of experience in large-scale software engineering, with at least several years leading engineering managers and senior ICs.

• Strong technical grounding in backend systems, distributed systems, identity/security, or enterprise cloud platforms.

• Experience defining governance, security, or enterprise-grade platform capabilities.

• A background as a senior IC (e.g., Staff/Principal Engineer) at some point,this role requires deep technical credibility.

• Proven success hiring, developing, and retaining senior engineering talent.

Preferred Qualifications

• Experience building cloud-agnostic or multi-cloud services.

• Background in enterprise features such as access control, policy engines, compliance, or identity systems.

• Experience leading organisations through scaling phases in high-growth environments.

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 utilising 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.

Local Pay Range $243,100-$290,100 USD

XML job scraping automation by YubHub

This is a highly strategic and technical leadership role that sits at the center of our architecture, enabling scale, compliance, and innovation across multiple products serving the U.S. consumer market.

You will own and evolve a portfolio of mission-critical platforms that are reused across multiple product lines and directly impact customer experience, regulatory adherence, monetization, and operational efficiency.

Key responsibilities include defining and driving the long-term strategy and roadmap for core platform capabilities, ensuring platform services are scalable, secure, compliant, extensible, and reusable across the organization, and balancing immediate product team needs with long-term architectural integrity.

Additional responsibilities include identifying and driving opportunities to leverage AI both in product execution as well as within platform capabilities, proven experience owning and scaling complex, distributed systems, and experience in fintech, financial services, SaaS, or other regulated industries.

The ideal candidate will have 10+ years of product management experience, with at least 5+ years in platform product management, 3+ years of people management experience leading product managers, and experience with identity systems, billing/subscription systems, or compliance platforms.

Domain ownership includes identity & access management, accounts platform, pricing & plans, billing platform, notifications platform, and risk & compliance systems.

Why this role matters: Platform is the backbone of our product ecosystem. This leader will directly influence how we scale new products and features, how we manage risk and regulatory compliance, how we monetize effectively, and how we deliver secure, seamless customer experiences.

XML job scraping automation by YubHub

Your day-to-day will involve implementing Agentic AI and LLM-powered workflows using tools like Tines, AWS Agentcore, AWS Bedrock, Claude Code, etc. You will deploy systems with Infrastructure as Code (IaC) (i.e. Terraform) and build and maintain automation workflows across key enterprise platforms (i.e. Atlassian, Okta, Google Workspace, Slack, Zoom, knowledge management systems), cybersecurity systems (i.e. SIEM, GRC platforms, Data Security Platforms, etc.), and cloud environments (AWS, GCP).

You will build AI-driven chatbots or intelligent agents that automate tasks, support conversational workflows, and integrate with enterprise applications. You will partner with IT, Security, GRC, Procurement, and business teams to automate operational tasks and processes to reduce toil, improve efficiency and enable business.

You will develop integrations using REST APIs, JSON, webhooks, and scripting languages (JavaScript, Python). You will follow established automation and AI standards for quality, security, and governance; provide improvements where appropriate.

You will troubleshoot, maintain, and optimize existing workflows to improve stability and performance. You will document designs, workflows, configurations, and operational procedures.

You will participate in code reviews, technical discussions, and team-based learning to uplift engineering quality and consistency.

You will work with various tooling in Security, IT, and Production Engineering.

This role requires 10+ years of experience in automation engineering, systems integration, or workflow development. You should have experience with automation platforms such as Tines, Retool, Superblocks, n8n, etc. You should also have hands-on experience with Terraform and containerization technologies.

You should have experience developing LLM-powered automations, conversational interfaces, or Agentic AI assistants. You should have knowledge of Git and modern version control practices.

You should have strong skills in REST APIs, JSON, webhooks, JavaScript, and Python. You should also have familiarity with identity systems (Okta, SCIM) and RBAC concepts.

You should have familiarity with cloud environments such as Google Cloud Platform (GCP) and Amazon Web Services (AWS).

You should be able to break down problems, collaborate cross-functionally, and deliver solutions with moderate guidance.

You should have strong communication skills and the ability to translate functional requirements into technical outputs.

Preferred experience includes familiarity with data platform and database technologies (e.g., Snowflake, PostgreSQL, Cassandra, DynamoDB).

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, employee resource groups.

XML job scraping automation by YubHub

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, …)

XML job scraping automation by YubHub

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.

About the role:

• Scope, design, and build complex security systems end to end, maintaining them through production and driving through ambiguous technical challenges with minimal oversight
• Identify systematic risks through threat modeling and risk assessment, then build the controls and infrastructure that address them
• Mentor engineers across the security team and broader engineering organisation, contribute to hiring, and grow security engineering culture at Anthropic
• Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond the security team

Developer security and supply chain

• Build and advance our developer security program by embedding security practices into the software development lifecycle and developer workflows
• Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement

Identity and secrets management

• Architect systems that protect sensitive assets including model weights, customer data, and training datasets
• Build and operate credential issuance, rotation, and workload authentication across our multi-cloud environments

Infrastructure security

• Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments
• Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security
• Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation

Secure frameworks

• Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities and empower engineering teams to work securely without becoming security experts themselves
• Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls

You may be a good fit if you have:

• At least 8 years of software engineering experience with deep security expertise, including leading complex security initiatives independently
• Bachelor's degree in Computer Science or equivalent industry experience
• Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++
• Deep understanding of identity systems, cryptographic primitives, and secrets management
• Working knowledge of Kubernetes security primitives including RBAC, namespaces, network policies, and service accounts
• Experience leading cross-functional security initiatives and navigating complex organisational dynamics
• Outstanding communication skills, translating technical concepts effectively across all levels of the organisation
• A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution
• Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams
• Passion for AI safety and the role security engineering plays in building trustworthy AI systems

Strong candidates may also have:

• Designed or operated identity and secrets management systems for large-scale AI or cloud infrastructure
• Built security frameworks or libraries adopted across an engineering organisation
• Led a developer security program including supply chain security, secure build infrastructure, and SDLC integrations
• Built or secured CI infrastructure using Nix, Bazel, or Kubernetes-based deploy systems, with depth in toolchain issues, CI/CD pipelines, and developer workflow optimisation
• Implemented machine identity or workload authentication systems using SPIFFE/SPIRE, mTLS, or equivalent
• Understanding of Linux systems internals including namespaces, cgroups, and seccomp, and how these underpin container and workload isolation
• Contributed to the security architecture of multi-cloud environments including network segmentation, data protection, and access governance
• Experience with network security controls including admission controllers, CNI-level policy, service mesh security, and east-west traffic enforcement
• Experience building runtime security monitoring using eBPF or kernel security policies

Deadline to apply:

None, applications will be received on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning the total amount of money an employee is expected to earn in a year, including bonuses and other forms of compensation.

XML job scraping automation by YubHub

This is a hands-on, investigative role requiring strong technical depth, understanding of modern software engineering and CI/CD systems, familiarity with cloud-native infrastructure (especially GCP), and the ability to work across multiple teams in a fast-paced environment.

Responsibilities

Threat Awareness & Rapid Assessment

• Continuously monitor emerging threats, including bad actor activity, 0-day vulnerabilities, public exploitation campaigns, bug bounty reports, and customer-reported security issues

• Quickly assess the applicability of these threats to Replit’s cloud infrastructure, SaaS services, internal tooling, and platform components.

Investigation & Impact Analysis

• Conduct targeted investigations to determine whether Replit is already impacted by a newly discovered threat, vulnerability, or exploit.

• Analyze logs, telemetry, and system behaviors using SIEM, metrics, Cloud Logging, and related tools.

• Identify gaps or weaknesses in existing detection or visibility and propose improvements.

Containment, Mitigation & Cross-Team Collaboration

• Research potential impact paths and develop mitigation strategies for confirmed or applicable threats.

• Partner closely with Security, SRE, and Engineering teams to coordinate and implement containment, patches, configuration updates, or code-level fixes.

• Document findings, mitigations, and follow-up actions clearly for internal teams.

Required Skills & Experience

• Strong understanding of software engineering fundamentals, including code structure, build systems, dependencies, and package ecosystems—enabling effective partnership with Engineering teams.

• Understanding of CI/CD pipelines and DevOps workflows, enabling collaboration with Infrastructure and DevOps teams.

• Solid knowledge of cloud architecture, especially Google Cloud Platform (GCP) services used in modern cloud-native deployments.

• Familiarity with SaaS architectures, identity systems, and integration patterns for effective collaboration with Cloud Security teams.

• Hands-on experience with SIEM, Cloud Logging, and log-based investigation workflows.

• Ability to perform investigations using log data, behavioral indicators, and threat intelligence.

• General understanding of vulnerability lifecycles, exploitability analysis, and common attack vectors.

Preferred Qualifications

• Experience with threat intelligence, security research, or vulnerability analysis.

• Familiarity with Kubernetes, containers, serverless infrastructure, or modern distributed systems.

• Ability to write scripts or small tools for investigation or automation (Python, Go, Bash).

• Experience working with bug bounty programs or coordinated vulnerability disclosure workflows.

• Experience in fast-paced, cloud-native, or AI/ML-driven environments.

What We Value

• Curiosity & initiative: Strong desire to understand attacker behaviors, emerging threats, and how they apply to real-world systems.

• Speed & analytical rigor: Ability to quickly assess high-risk vulnerabilities with clear, evidence-based reasoning.

• Collaboration: Comfort working across cross-functional teams spanning Security, SRE, Engineering, and Infrastructure.

• Clear communication: Ability to explain findings, risks, and mitigation strategies to stakeholders at all levels.

• Ownership mindset: Takes initiative to drive investigations, improvements, and remediations to completion

• Continuous learning: Passion for staying up to date on new vulnerabilities, exploit trends, and cloud-native security best practices.

Full-Time Employee Benefits Include:

💰 Competitive Salary & Equity

💹 401(k) Program with a 4% match

⚕️ Health, Dental, Vision and Life Insurance

🩼 Short Term and Long Term Disability

🚼 Paid Parental, Medical, Caregiver Leave

🚗 Commuter Benefits

📱 Monthly Wellness Stipend

🧑‍💻 Autonomous Work Environment

🖥 In Office Set-Up Reimbursement

🏝 Flexible Time Off (FTO) + Holidays

🚀 Quarterly Team Gatherings

☕ In Office Amenities

Want to learn more about what we are up to?

• Meet the Replit Agent

• Replit: Make an app for that

• Replit Blog

• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles

• Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially

XML job scraping automation by YubHub

What you'll do

Reporting to the Creative Director of Design, you will be responsible for the strategic and hands-on development of visual brand identities, design systems, and digital/print channel executions in support of the Battlefield franchise.

• Develop in collaboration with the Creative Director and Strategy Director memorable and comprehensive brand visual identity systems and key art that extends the visual world across all player touchpoints: in-game, live services, partnerships and beyond.

What you need

• 7+ years of design experience.

• Experience in creating for global brands in digital, print and environmental channels with a track record of delivering robust brand design systems.

XML job scraping automation by YubHub