We are seeking an experienced Infrastructure engineer to join our Market Data Services team, focusing on our high-impact Market Data Distribution program.

As a Lead Engineer at JPMorgan Chase within our Market Data Services team, you will play a pivotal role in delivering third party data, via cloud-based Data Platforms for business use across JPMorgan including AI/ML. You will be working within an Agile project environment, participating in two-week sprint cycles, and collaborating closely with cross-functional teams to deliver high-quality solutions.

Key Responsibilities

- Building and maintaining AWS EKS Environments
- Configure monitoring for cloud environments
- Extract Transform Load data from Third Parties into AWS Databases
- Collaborate with product owners and stakeholders to ensure data solutions align with business and regulatory requirements.
- Manage the risk profile of Market Data applications in line with Cyber Security Control Procedures

Actively participate in Agile ceremonies and two-week sprint cycles.

Required qualifications, skills, and capabilities

- Strong hands‑on expertise with AWS EKS and Terraform for building and maintaining clusters
- Experience with build pipelines Jenkins and Spinnaker
- Deep familiarity with Docker containerizing applications
- Experience with AWS Lambda, AWS Neptune, AWS Glue.
- Proficient in SQL for Oracle and No‑SQL DSL for ElasticSearch.
- Experience working in Agile teams.
- Excellent communication and stakeholder management skills.
- Datadog, Cloudwatch or Dynatrace experience

Any experience with S3, Karpenter, Kustomize and Istio will be favorable.

About AgileEngine

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.

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