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Exelixis

Engineer II – DevSecOps

Exelixis

. Develop AI-assisted security automation, secure software delivery pipelines, and operational DevSecOps capabilities .

Posted 11/4/2026full-timeAlameda • California • United StatesMid-LevelSenior💰 $173,000 - $220,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing AI-assisted security automation and integrating security controls into cloud platforms and CI/CD pipelines. Proficient in using programming languages such as Python and JavaScript, while effectively collaborating with cross-functional teams to enhance security practices in regulated environments.

Highest-signal resume keywords
AI-Assisted Development ToolsCloud Security ConceptsInfrastructure As CodeVulnerability ManagementSecure Software Development Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonPowerShellJavaScriptJavaCI/CD PipelinesAutomated TestingSecurity TestingThreat ModelingAgent WorkflowsPrompt Engineering
Soft Skills
Analytical SkillsTroubleshooting SkillsOrganizational SkillsDocumentation SkillsCommunication Skills
Tools & Technologies
JIRAJSMSource ControlBuild and Deployment ToolingSecrets ManagementLoggingMonitoring
Industry Keywords
DevSecOpsRegulated EnvironmentSOXFDAGxPGDPRCPRASensitive DataPrivacy RequirementsCybersecurity

Tech Stack

Tools & technologies
AWSCloudCyber SecurityJavaJavaScriptPythonSDLCTypeScript

About the role

Key responsibilities & impact
  • Develop AI-assisted security automation, secure software delivery pipelines, and operational DevSecOps capabilities
  • Design and implement software components, scripts, prompts, test cases, and configuration changes integrating security controls into development and cloud workflows
  • Use approved AI-assisted development tools, coding copilots, and agentic coding tools with human review, testing, and governance
  • Develop, integrate, and maintain prompts, agent workflows, retrieval-assisted use cases, and API integrations with security controls, logging, observability, and data protection
  • Develop and maintain automated unit, integration, security, and pipeline tests; troubleshoot failures and remediate defects
  • Maintain architecture, design, prompt, specification, deployment, user guidance, and operational runbook documentation
  • Contribute to code reviews, threat modeling, design reviews, demos, testing sessions, backlog refinement, and team learning activities
  • Identify vulnerabilities in applications, cloud platforms, AI systems, and delivery pipelines; implement risk-based remediation
  • Implement and improve security controls and guardrails across CI/CD, infrastructure as code, cloud services, applications, APIs, AI systems, and development tooling
  • Partner with engineering, infrastructure, data, and business teams to integrate security requirements into technology initiatives and the software development lifecycle
  • Investigate and respond to security events involving applications, cloud environments, development pipelines, credentials, APIs, and AI systems
  • Monitor and analyze security logs, pipeline results, vulnerability findings, and telemetry
  • Evaluate emerging cybersecurity, cloud, AI, and software supply chain risks and incorporate approved improvements into DevSecOps processes
  • Apply Exelixis and industry security practices in a regulated environment, including SOX, FDA, privacy, and data protection requirements
  • Perform other duties as assigned and comply with all policies and standards
  • No supervisory responsibilities

Requirements

What you’ll need
  • Bachelor’s degree in related discipline and 5 years of related experience; or Master’s degree in related discipline and 3 years of related experience; or equivalent combination of education and experience
  • Experience developing and maintaining software, automation, or infrastructure solutions in an enterprise environment
  • Experience integrating security controls into cloud platforms, applications, APIs, infrastructure as code, and CI/CD pipelines
  • Experience with cloud, AI systems, application security, vulnerability management, and secure software development practices
  • Experience operating or implementing cybersecurity and DevSecOps tools, including source control, build and deployment tooling, security testing, secrets management, and logging or monitoring
  • Experience investigating and remediating security findings or events involving applications, cloud services, development pipelines, or access controls
  • Experience working in Agile environments and using work management and service management tools such as JIRA and JSM
  • Experience collaborating with engineering, infrastructure, security, vendors, and business stakeholders
  • Proficient knowledge of enterprise applications, infrastructure, cloud architecture, and common cybersecurity controls
  • Proficiency with Python, PowerShell, JavaScript/TypeScript, or Java, and command-line tooling
  • Working knowledge of AI, machine learning, generative AI, LLMs, prompt engineering, agent workflows, retrieval-assisted systems, and responsible AI practices
  • Strong knowledge of AWS and cloud security concepts, including IAM, network controls, encryption, secrets management, logging, and secure configuration
  • Strong knowledge of infrastructure as code, secure SDLC, CI/CD pipelines, source control, automated testing, software supply chain security, and vulnerability remediation
  • Strong understanding of application, API, container, and cloud security principles, including threat modeling and risk-based control selection
  • Ability to use AI-assisted development tools responsibly and validate generated code, prompts, configurations, and automated actions
  • Strong analytical, troubleshooting, organizational, documentation, and communication skills
  • Ability to work effectively with technical and non-technical stakeholders while balancing confidentiality, integrity, availability, privacy, and business needs
  • Ability to manage multiple priorities, work through ambiguity, protect confidential data, and deliver reliable results with limited guidance
  • Working knowledge of PII, PHI, sensitive data, GDPR, CPRA, and applicable privacy and security requirements
  • Up to 5% travel
  • Experience in regulated industries such as biotechnology or pharmaceuticals, with knowledge of GxP, SOX, privacy, or related compliance requirements preferred

Benefits

Comp & perks
  • 401k plan with generous company contributions
  • Group medical, dental and vision coverage
  • Life and disability insurance
  • Flexible spending accounts
  • Discretionary annual bonus program
  • Opportunity to purchase company stock
  • Long-term incentives
  • 15 accrued vacation days in the first year
  • 17 paid holidays including a company-wide winter shutdown in December
  • Up to 10 sick days throughout the calendar year
  • Necessary equipment, including dual monitors and ergonomic chairs
  • Disability accommodation during the recruiting process