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Moderate competition due to mid-level seniority, metro location, and company visibility balanced by niche AI-platform skills.
Low: platform and DevOps skills are broadly transferable across industries and products.
High: explicit five-year minimum and numerous mandatory CI/CD, cloud, IaC, and security tooling requirements.
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Build and maintain AI-powered SDLC platform and tooling including CI/CD, automated diagnostics, security automation, and self-service developer tools.
Collaborate with engineering, DevOps, Product, and QA teams to automate and improve high-friction parts of the development lifecycle across Jira, GitHub, testing, security scans, and deployment.
Ensure governance, compliance, and operational excellence within SDLC workflows while driving adoption of AI tooling and engineering best practices.
Minimum 5 years of Software Engineering or DevOps experience with full SDLC familiarity.
Hands-on experience integrating large language models (LLMs) into development or operational workflows.
Experience building/operating CI/CD pipelines, preferably with GitHub Actions.
Proficiency in automation scripting/programming languages (TypeScript/JavaScript preferred, Python valued), plus experience with IaC tools (Terraform/OpenTofu/Helm), cloud platforms (AWS and/or Azure), and Kubernetes.
Experienced engineer with strong software and DevOps background, able to deliver scalable and automated developer platforms.
Pragmatic problem-solver familiar with embedding AI into SDLC workflows and integrating security and observability tooling.
Skilled collaborator who can work across multiple teams and global environments, driving engineering effectiveness via metrics and best practices adoption.