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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, broad DevOps skillset and senior Staff title create high applicant competition.
DevOps, Kubernetes, CI/CD, and observability skills are broadly transferable, but AI-native platform experience adds domain specificity.
Explicit 12+ years and senior staff level plus mandatory Kubernetes, CI/CD, and observability raise strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Own the design and execution of CI/CD pipeline enablement and developer productivity tooling including Application Rating Tool and observability infrastructure.
Lead cross-team platform roadmap implementation including batch API strategies and AI-powered delivery workflow agents.
Drive shift-left performance engineering by embedding performance tooling early in development and owning performance monitoring and reporting efforts.
Minimum Requirements
12+ years of software engineering experience, with at least 3 years in a senior or staff-level individual contributor role.
Strong proficiency in Java and/or Python and solid understanding of distributed systems, concurrency, and scalable service design.
Expertise in CI/CD platforms (e.g., Jenkins, GitHub Actions) and DevOps tooling, plus expert-level Kubernetes knowledge.
Hands-on experience with observability and monitoring tools (e.g., Grafana, Prometheus, OpenTelemetry), performance engineering concepts, and AI/ML application in engineering workflows.
Ideal Candidate Profile
Experienced technical leader with strong cross-functional collaboration skills capable of influencing multiple partner organizations and leading governance forums.
Proven track record of building and operating developer productivity or internal platform tooling in high-traffic, cloud-based environments.
Strategic thinker comfortable architecting AI-native tooling and agentic AI applications within DevOps, deployment, and performance engineering domains.