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 Platform Engineer to build and scale core infrastructure that supports rapid company growth. This person designs reliable platform services, manages cloud resources on AWS and Kubernetes, and works closely with engineering and data science teams to keep systems performant and secure. Comfort with distributed architecture and AI-native tooling matters here.

MUST HAVES

- 3+ years of server development in Python or TypeScript.
- 1+ year of experience with API design and development using REST/gRPC.
- 1+ year of experience with AWS and Kubernetes, including experience with Service Mesh technologies such as Istio, Linkerd, Cilium, or similar.
- 1+ year of experience building advanced architectural components such as service registry, streaming, event bus, distributed caching, federated/polyglot persistence, etc.
- 6+ months of experience working with LLMs, prompt engineering, harness engineering, or AIOps tooling.
- 6+ months of SDLC AI-native usage via Claude Code, Claude Cowork, or similar.
- Excellent communication skills, the ability to learn on the fly, and a desire for ownership.

WHAT YOU WILL DO

- Design, build, and maintain scalable and reliable platform services to support company growth.
- Measure, monitor,



and optimize system performance, identifying bottlenecks and implementing infrastructure-level improvements.
- Manage cloud resources and service boundaries, ensuring security and operational excellence.
- Implement best practices, methodologies, and tools to optimize the development process and increase efficiency.
- Communicate effectively with stakeholders, including senior leadership, to provide updates on project status, risks, and issues.

PERKS AND BENEFITS

- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Adaptable schedule with remote and office options.

Our client is a remote product studio that builds MVPs and custom software for startups and companies past the idea stage. Clients hire them for a fixed-scope MVP or for a product team billed by the two-week sprint, and the whole team uses AI coding tools every day.

They've been at it since 2020 and were profitable in 2025, with a 30% net margin. After building their own AI systems, they tripled monthly revenue with the same team size. Clients rate them 4.9 out of 5 in verified reviews,



and the startups they build for have raised more than $25M in venture funding.

Your Role

You'll join the team building workflow software for one of the studio's clients: a live product that needs new workflow features while the existing ones keep running. The client's own engineers commit to the same repo, so every new table, permission and workflow goes in next to code someone else is changing. The weight is on the server side, from the SQL database on Azure up through the API, and you also build the React and TypeScript screens that sit on top.

AI coding tools draft most of the specs, tests and migrations. You direct them, read every diff line by line, and answer for what merges. If you'd rather write most of the code by hand, this probably isn't the right seat.

You report to the studio's leadership and work day to day with the lead developer and the product manager, who sets the acceptance criteria for each sprint. Success means delivering four to five features per two-week sprint, each verified before merge, and owning one area end to end (such as the task engine or the legacy migration) without breaking a live feature.

You'll:

- Extend the production SQL database on Azure with new tables, permissions and versioned records.
- Write the server-side workflow rules: state machines, approval gates and independent review steps.
- Enforce role-based access by company and assignment at both the database and the API.
- Build the audit log, stale-write protection and idempotent endpoints so a retry never duplicates data.
- Build the React and TypeScript work queues, bulk assignment tools and dashboards

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