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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting AI-native development workflows and integrating AI into the software development lifecycle (SDLC). Proficient in CI/CD orchestration, programming, and mentoring engineering teams to enhance operational efficiency and reliability.
Highest-signal resume keywords
AI Integration Into SDLCCI/CD OrchestrationProgramming Skills In Python, Java, Or JavaScriptInfrastructure-As-Code Using TerraformContainerization Using Docker And Kubernetes
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI IntegrationCI/CD OrchestrationProgramming In PythonProgramming In JavaProgramming In JavaScriptInfrastructure-As-CodeTerraformDockerKubernetesData Analysis
Soft Skills
Problem SolvingMentoringAdaptability
Tools & Technologies
GitHub ActionsJenkinsLarge Language ModelsBackstage
Industry Keywords
DORA MetricsService Integration TestingContract Testing
Tech Stack
Tools & technologiesDockerJavaJavaScriptJenkinsKubernetesPythonSDLCTerraform
About the role
Key responsibilities & impact- Drive the architecture of next-generation validation guardrails and an AI-native developer experience
- Architect engineering workflows across Planning, Design, Build, Test, Deploy, and Maintain into automated closed-loop systems
- Lead the design of intelligent frameworks, AI SDLC playbooks, and deterministic guardrails
- Drive bottom-up adoption of AI-native development workflows by coaching engineers on orchestration of parallel agentic sessions and subagents
- Partner with platform engineers, R&D teams, and security to replace manual handoffs and sign-off cycles with automated artifact triggers and governance boundaries
- Operationalize markdown-driven artifact pipelines with transparent audit trails from idea to production
- Architect deterministic build-time and deployment hooks as safety boundaries for AI development
- Integrate AI into pull-request review using structured policies and CI runners for multi-pass reviews and autonomous comment-thread resolution
- Design verification harnesses and visual feedback loops for AI-agent self-testing and correctness verification
- Build continuous evaluation suites in CI to regression-test AI steering configurations against real engineering tasks
- Implement production monitoring scripts to detect control breaches and create triage queues for closed-loop improvement
- Mentor developers and lead grassroots technical initiatives across engineering teams
Requirements
What you’ll need- Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship
- Must be authorized to begin work in the U.S. on the first day of employment
- Deep conceptual and hands-on understanding of integrating AI into the development lifecycle across the entire SDLC
- Demonstrated success moving DORA metrics and framework reliability using explicit data analysis
- Ability to thrive in highly ambiguous environments and proactively identify and solve friction
- Strong programming skills in Python, Java, or JavaScript
- Deep hands-on experience with advanced CI/CD orchestration such as GitHub Actions and Jenkins
- Experience with infrastructure-as-code using Terraform
- Experience with containerization using Docker and Kubernetes
- [Preferred] Experience managing complex software states and mimicking/isolating environments utilizing tools at enterprise scale
- [Preferred] Past experience building custom internal wrapper applications or developer plugins around Large Language Models (LLMs)
- [Preferred] Proven success technically leading or closely pairing across split North American and Indian engineering hubs
- [Preferred] Familiarity with service integration testing, contract testing tools, and developer catalog platforms such as Backstage
Benefits
Comp & perks- Bonus
- Equity
- Benefits
- Reasonable accommodation for individuals with disabilities
- Equal opportunity and inclusive workplace
