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Known SaaS employer, metro location, senior platform role with broad DevSecOps skills gives moderate competition.
Core DevOps, CI/CD, and IaC skills are transferable, though verification platform and AI-for-SDLC add moderate domain specificity.
Explicit 8+ years, senior staff level and mandatory CI/CD, DevSecOps, IaC, and AI/ML requirements enforce strict shortlisting.
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Lead the design and implementation of a modern Quality Engineering platform integrating AI/ML to automate testing, verification, and functional requirements.
Own and modernize CI/CD pipelines including automated security validation, compliance checks, and risk prediction using AI/ML techniques.
Manage delivery pipeline and release automation frameworks to improve developer productivity, deployment frequency, and release reliability at scale.
8-10+ years of industry experience with a proven track record leading complex technical projects and cross-team initiatives.
B.S. or M.S. in Computer Science or related technical discipline.
Proficient coding skills in Java, Scala, or Golang and scripting (Groovy, Python, Bash); expertise with JVM workload tuning at scale.
Deep experience with Quality Engineering platforms, AI/ML applied to SDLC, CI/CD tooling (Jenkins, Make, Gradle, NPM), cloud platforms (AWS/Azure/GCP), Infrastructure-as-Code, and DevSecOps including automated security testing.
Experienced leader at the intersection of Platform Engineering, Quality Engineering, DevSecOps, and Developer Productivity operating in large-scale cloud environments.
Technical strategist capable of driving adoption of AI/ML for automation, predictive analytics, and security automation within software delivery pipelines.
Strong cross-team collaborator and mentor, skilled at influencing architectural decisions and improving operational excellence through incident management.