Senior/Lead Platform Engineer ID69155

Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE We are looking for a

Senior Platform Engineer

to provide hands-on engineering support for an internal audit and code-modification platform built on GitLab CI/CD pipelines and LLM-powered agentic workflows. You will execute against an existing backlog, improve system reliability and observability, support telemetry and run management, and enhance the developer experience for reviewing AI-generated merge requests using Python. This is a three-month project engagement.

WHAT YOU WILL DO - Provide hands-on engineering support for an internal audit and code-modification platform; - Execute against an existing backlog and deliver tactical platform improvements; - Improve system reliability, observability, and operational visibility; - Support telemetry, logging, debugging, and run management processes; - Enhance the developer experience for reviewing AI-generated merge requests using

Python ; - Support system maintenance, operational improvements, and

GitLab CI/CD

pipeline execution; - Work with

LLM-powered

and agentic workflows, ensuring reliability and usability; - Support internal engineering teams and platform users; - Improve the reliability, visibility, and usability of the current platform; - Contribute to code review workflows, automated remediation processes, and platform enhancements.

MUST HAVES -

5+ years of experience

with

GitLab CI/CD

pipelines, merge request workflows, and pipeline debugging; - Senior-level backend or platform engineering experience, ideally with

Python ; - Experience working with

LLM , prompt-driven, or agentic workflows, including input/output validation and deterministic execution patterns; - Strong understanding of observability, including logging, telemetry, debugging, run tracking, and operational visibility; - Experience supporting internal developer tools or platforms used by multiple engineering teams; - Ability to execute tactical improvements independently without requiring extensive direction or re-architecture; - Comfortable reviewing and improving generated code changes, codemods, and automated merge requests; - Strong communication skills for supporting internal engineering customers and translating use cases into implementation work; - Upper-intermediate English level.

NICE TO HAVES - Experience building or maintaining developer experience tooling for code review, audits, or automated remediation; - Familiarity with

GitHub

or

GitLab

extensions, repository audits, or large-scale source-code analysis; - Experience with codemod frameworks or automated code transformation across large codebases; - Experience optimizing LLM token usage, cost tracking, and per-job reporting; - Knowledge of

MCP , internal orchestration systems, or agent gateway patterns; - Prior experience supporting centralized engineering platforms used across multiple product teams.

PERKS AND BENEFITS -

Professional growth : Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. -

Competitive compensation : We match your ever-growing skills, talent, and contributions with competitive compensation. -

Exciting projects : Join projects with modern solutions development and top-tier clients, including Fortune 500 enterprises and leading product brands. -

Flextime : Tailor your schedule for an optimal work-life balance, with options for remote work and flexible hours.

Requirements 5+ years of strong experience with GitLab CI/CD pipelines, merge request workflows, and pipeline debugging. Senior-level backend/platform engineering experience with the ability to maintain and improve existing systems, ideally with Python. Experience working with LLM, prompt-driven, or agentic workflows, including input/output validation and deterministic execution patterns. Strong understanding of observability, including logging, telemetry, debugging, run tracking, and operational visibility. Experience supporting internal developer tools or platforms used by multiple engineering teams. Ability to execute tactical improvements independently without requiring re-architecture or extensive direction. Comfortable reviewing and improving generated code changes, codemods, and automated merge requests. Strong communication skills for supporting internal engineering customers and translating use cases into implementation work.