In this role, you will contribute to the continuous improvement of our DevOps processes, collaborate with cross-functional teams, and apply best practices for scalable, reliable, and secure systems.

Our ideal candidate has a solid technical foundation, a strong hands-on approach, and the ability to deliver results with minimal supervision.

Our Tech Stack

• Cloud: AWS (EC2, S3, RDS, EKS, Elasticache, Lambda)
• Container Orchestration: Kubernetes with Helm
• Infrastructure as Code: Terraform + Terragrunt, Pulumi/ CDK
• Monitoring & Observability: Prometheus, Grafana, Elastic Stack, OpenTelemetry
• CI/CD: Jenkins, GitHub Actions, ArgoCD, ArgoRollouts
• Scripting: Python, Go, Bash
• Version Control: GitHub
• Collaboration: Jira (Agile)
• Automation: N8N, AI-assisted tooling (Agentic ADK)

Your role in this journey

As a DevOps Engineer, you will be responsible for:

• Implementing and maintaining infrastructure definitions using Terraform, Pulumi, or similar tools
• Ensuring IaC standards are followed and contributing improvements to existing modules and patterns
• Managing and monitoring AWS services, ensuring system performance, availability, and adherence to best practices
• Troubleshooting production issues and participating in capacity planning
• Maintaining and troubleshooting Kubernetes clusters , deploying workloads, managing configurations, scaling services, and resolving incidents to support high-availability applications
• Maintaining and improving CI/CD pipelines to ensure smooth, automated software delivery
• Identifying bottlenecks and implementing enhancements across Jenkins, GitHub Actions, ArgoRollouts and ArgoCD
• Maintaining and extending our monitoring stack (Prometheus, Grafana)
• Building dashboards, configuring alerts, and improving observability to ensure comprehensive visibility into system health and performance

Your backpack is filled with

• 4+ years of experience in a DevOps, SRE, or cloud engineering role with hands-on production experience
• Solid working experience with AWS services (EC2, EKS, S3, RDS, Lambda) and cloud infrastructure management
• Hands-on experience with Docker and Kubernetes in production environments , deploying, scaling, and troubleshooting containerized workloads
• Practical experience with at least one Infrastructure as Code tool (Terraform, Pulumi, or AWS CDK)
• Experience maintaining and improving CI/CD pipelines using tools like Jenkins, GitHub Actions, or ArgoCD
• Proficiency in scripting with Python, Bash, or Go for operational automation
• Working knowledge of monitoring and observability tools such as Prometheus, Grafana, or similar platforms
• Familiarity with logging and log aggregation systems (Elastic Stack, Open Telemetry, or similar)
• Solid understanding of Linux administration, networking fundamentals, and system security basics
• Strong communication skills with the ability to collaborate across teams and explain technical decisions clearly

Nice to Have

• Experience with Helm charts and Kubernetes package management
• Familiarity with GitOps workflows (e.g., Github Actions, ArgoCD, Flux)
• Experience with designing AWS services-based architectures is a plus
• Experience with AI automation or low-code/no-code platforms such as N8N is a plus
• Familiarity with prompt engineering and using AI tools to augment DevOps workflows
• Exposure to cost optimization strategies for cloud infrastructure
• Experience with incident response, on-call rotations, or SRE practices (SLOs, error budgets)
• Experience with DevSecOps practices , integrating security scanning and compliance into CI/CD pipelines

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts
• Learning: Grow professionally in a culture that thrives on curiosity and feedback
• Great People: Join a team of smart, motivated, and international colleagues who challenge and support each other
• Technology: Work in a modern tech environment
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized

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You will set the technical direction, write code and ship tooling alongside your team, and build the culture and processes that allow the team to scale.

Corporate Security at Anthropic encompasses everything that protects our people, endpoints, networks, SaaS ecosystem, and corporate data,the full surface area outside of production infrastructure.

The scope is broad and the team is deliberately small, which means you'll need deep technical skills across multiple domains, strong judgment about where to invest, and a bias toward automation and engineering-driven solutions over manual process.

You'll report into Security leadership and partner closely with IT, Infrastructure Security, Detection & Response, and GRC teams.

This role is high-visibility and high-autonomy: you'll be expected to define the roadmap, make architectural decisions, and represent Corporate Security across the company.

Responsibilities:

Technical Leadership & Hands-on Engineering

• Own the security architecture, tooling, and controls for Anthropic's corporate environment end-to-end, including endpoint fleets (macOS, Windows, ChromeOS), campus and office networks, SaaS applications, mobile devices

• Design, build, and ship security automation, integrations, and internal tooling,including leveraging Claude and LLMs to accelerate security workflows

• Define and enforce security baselines, hardening standards, and configuration policies across all corporate platforms

• Define what it means to operate safely in an environment where AI agents act more like humans than actual humans

• Evaluate, select, deploy, and operate corporate security tools (EDR/XDR, MDM, ZTNA, CASB/SSPM, email security, DLP, browser security, etc.)

• Drive vulnerability management for corporate assets, including patch orchestration, risk-based prioritization, and exception management

• Lead security reviews of new SaaS adoptions, corporate infrastructure changes, and IT projects

People Leadership & Team Building

• Manage, mentor, and grow a purposefully lean team of Security Engineers; set clear expectations, run effective 1:1s, and create an environment where engineers do the best work of their careers

• Hire and build the team as scope expands,own the hiring bar and pipeline for Corporate Security Engineering roles

• Balance your own IC contributions with the team’s needs; know when to go deep on a problem yourself and when to delegate and coach

• Foster a culture of operational excellence, blameless incident review, and continuous improvement

Strategy & Cross-Functional Partnership

• Define and own the Corporate Security roadmap, aligning investments to Anthropic’s risk profile and growth trajectory

• Partner with IT Operations to ensure security is embedded in endpoint provisioning, network design, and SaaS lifecycle management

• Collaborate with Detection & Response on telemetry coverage, detection engineering, and incident handling for corporate-sourced events

• Partner with Infrastructure and Security Engineering teams to ensure security standards are consistent across all of Anthropic

• Communicate security posture, risks, and investment needs to Security leadership and cross-functional stakeholders clearly and persuasively

Requirements

• 8+ years of Security Engineering experience in a corporate/enterprise security domain (endpoint security, network security, SaaS security, identity, or a combination)

• 2+ years of experience managing or tech-leading a team of engineers, with a demonstrated track record of developing talent and shipping results through others

• Are a strong engineer who still writes code regularly,you can prototype a tool, write a detection, build an integration, or debug a complex configuration issue

• Have deep experience with macOS fleet security (this is our primary platform) and solid working knowledge of Windows and ChromeOS security

• Have hands-on experience deploying and operating EDR/XDR, MDM, ZTNA/zero trust, and identity security solutions at scale

• Understand modern SaaS security challenges: shadow IT, OAuth token sprawl, data exfiltration paths, SaaS-to-SaaS integrations, and SSPM/CASB tooling

• Can work independently with high autonomy, manage ambiguity, and make sound risk-based prioritization decisions in a fast-paced environment

• Have excellent communication skills and can translate complex security topics into clear recommendations for technical and non-technical audiences

Strong Candidates May Have

• Securing corporate environments at high-growth AI, cloud, or developer-tools companies

• Maturing a Corporate Security function from early stage, including defining scope, selecting the initial toolset, and hiring the founding team

• Advanced macOS security (system extensions, endpoint security framework, MDM profile engineering, Declarative Device Management)

• Network security architecture for hybrid/multi-office environments, including SD-WAN, ZTNA, DNS security, and network segmentation

• Browser security and isolation technologies (e.g., Island, Talon/Palo Alto, Chrome Enterprise)

• Proficiency in Python, Go, or similar languages for building security tooling and automation

• Experience leveraging LLMs/AI to augment security operations, build investigative tooling, or automate policy enforcement

• Familiarity with IaC (Terraform), CI/CD pipelines, and DevSecOps practices as they apply to corporate infrastructure management

• Mobile security for iOS/Android in a BYOD and corporate-managed device environment

• Data Loss Prevention (DLP) program design and implementation across endpoints, email, SaaS, and cloud storage

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

• 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.

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Responsibilities: Conduct in-depth code reviews and static analysis to identify and mitigate security vulnerabilities in our applications Design and implement secure coding guidelines and best practices for development teams Collaborate closely with development teams to integrate security practices throughout the CI/CD pipeline Perform threat modeling and risk assessments for applications, developing mitigation strategies for potential risks Manage vulnerability tracking and remediation efforts, providing guidance to development teams Support incident response activities related to application security Stay current on emerging security threats and trends in cloud-native technologies and AI, continuously enhancing our security measures Evaluate and secure software supply chains, including producing and maintaining Software Bills of Materials (SBOMs) Address security concerns specific to AI and machine learning models, with a focus on the OWASP LLM Top 10

Basic Qualifications: Bachelor's degree in Computer Science, Cybersecurity, or a related field 3-5 years of experience in application security, with a strong focus on code security practices Deep understanding of secure coding practices, application security frameworks, and common vulnerabilities (e.g., OWASP Top 10) Proficiency in Python or Rust programming languages and experience with secure coding practices in these languages Experience securing CI/CD pipelines and implementing DevSecOps practices Familiarity with software supply chain security and SBOM generation tools Experience with security testing tools (e.g., Burp Suite, OWASP ZAP) and static/dynamic code analysis Understanding of AI/ML security implications, particularly those outlined in the OWASP LLM Top 10 Excellent communication skills, able to explain complex security issues to both technical and non-technical audiences

Preferred Skills and Experience: Experience with cloud platforms (e.g., GCP, AWS, Azure) and their security features Relevant security certifications (e.g., CSSLP, OSWE) Background in data privacy and compliance regulations relevant to cloud-native applications and AI systems Experience with GitOps and infrastructure-as-code security Familiarity with federated learning and privacy-preserving machine learning techniques Experience in building custom security tooling to enhance and automate security processes Interest in leveraging AI to automate security tasks and improve efficiency Contributions to open-source security projects or tools Experience in securing AI/ML models and data pipelines

Compensation and Benefits: $200,000 - $340,000 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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Design and implement flight control laws and supporting logic across multiple flight regimes. Build and mature high-fidelity 6DOF simulation environments used for control development and ensure accurate pre-flight performance predictions. Execute verification activities, including linear analysis, Monte Carlo campaigns, disturbance/sensitivity/degraded operation testing, and HIL validation. Diagnose and resolve simulation-to-test mismatches, including unidentified dynamics and modeling gaps. Support flight test operations and contribute to rapid iteration between flights. Work closely with propulsion, aero, actuation, sensors, state estimation, and autonomy teams to ensure accurate integrated system performance in the 6DOF simulation environment.

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Design and deliver the flight control system across all phases of flight including control allocation strategies that manage actuator redundancy, saturation, and degraded operations.

Lead development of high-fidelity 6DOF simulation environments and ensure accurate pre-flight performance predictions.

Define and execute the verification strategy, including linear analysis, Monte Carlo campaigns, disturbance/sensitivity/degraded operation testing, and HIL validation.

Diagnose and resolve simulation-to-flight mismatches, including unidentified dynamics and modeling gaps.

Support flight test operations, making risk-informed decisions and driving rapid iteration between flights.

Integrate control systems with propulsion, aero, actuation, sensors, state estimation, and autonomy, ensuring the vehicle behaves predictably under real-world disturbances and uncertainties.

Mentor and guide engineers while setting the technical standard for control system performance and rigor.

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Design and implement flight control laws and supporting logic across multiple flight regimes. Build and mature high-fidelity 6DOF simulation environments used for control development and ensure accurate pre-flight performance predictions. Execute verification activities, including linear analysis, Monte Carlo campaigns, disturbance/sensitivity/degraded operation testing, and HIL validation. Diagnose and resolve simulation-to-test mismatches, including unidentified dynamics and modeling gaps. Support flight test operations and contribute to rapid iteration between flights. Work closely with propulsion, aero, actuation, sensors, state estimation, and autonomy teams to ensure accurate integrated system performance in the 6DOF simulation environment.

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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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