The Role
Lead end-to-end engineering for a data analytics platform spanning Python workers, REST APIs, React and Next.js, asynchronous processing, cloud data pipelines, and AWS Bedrock-based LLM orchestration. Govern architecture, static typing, code quality, security integrations, infrastructure collaboration, and responsible AI-assisted development. Guide senior developers, review pull requests, integrate external APIs, and establish maintainable engineering standards across containerized Kubernetes workloads and modern frontend systems.
Summary Generated by Built In
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 Lead Full Stack Engineer to drive end-to-end application engineering for a data analytics platform, acting as the primary gatekeeper for code quality and architecture across containerized Python workers, an LLM orchestration layer running through AWS Bedrock, and a React frontend built natively into an existing component library. You will govern strict static typing across Python and TypeScript, own the architectural approach for synthesizing data from YouTube and Google Trends APIs through an S3/Glue/Athena pipeline, and set the standard for responsible AI-assisted development using Claude Code.
WHAT YOU WILL DO
- Code Governance: Review all PRs and enforce code quality standards — including strict static typing discipline across both Python and TypeScript — preventing "spaghetti code" and scope creep.
- System Architecture: Design and deploy containerized applications and REST APIs, including the Python worker architecture (RQ/Celery + Redis) running on EKS.
- Data Orchestration Oversight: Own the architectural approach for synthesizing disparate sources (YouTube Data/Creator APIs, Google Trends, GQV via MMM Data Hub) into an S3/Glue/Athena pipeline.
- AI Integration Governance: Guide the design of the Claude/Gemini scoring orchestration layer, ensuring all model access routes strictly through AWS Bedrock.
- Framework Alignment: Ensure front-end work is built natively into the existing React framework and Storybook component library, rather than around it.
- Infrastructure & Security Partnership: Drive conversations with DevOps and platform teams across GitHub Actions, ArgoCD, Atlantis, and Terraform/Kubernetes IaC, and on the Auth0 / OpenFGA (ReBAC) / internal RBAC library security model.
- Team Leadership: Guide senior developers and ensure alignment with established engineering practices.
MUST HAVES
- 7+ years of full-stack engineering experience with a strong track record of architectural ownership.
- Strong production Python — FastAPI, SQLAlchemy, and modern tooling (uv), with static typing applied consistently rather than selectively.
- Strong TypeScript/React, including Next.js.
- Comfortable designing and consuming REST APIs, and integrating third-party/external APIs at scale.
- Experience with containerized workloads and asynchronous task processing (Celery, RQ, or comparable) backed by Redis.
- Working familiarity with Kubernetes/EKS and object-storage-backed data lakes queried via serverless engines (S3/Glue/Athena or equivalent) — enough to drive DevOps conversations and reason about how data reaches the application. Hands-on pipeline authorship not required.
- Experience integrating LLMs into production applications via a managed platform (AWS Bedrock preferred; comparable experience acceptable if the compliance-boundary thinking transfers).
- Exposure to IaC and GitOps-style deployment pipelines (Terraform, GitHub Actions, ArgoCD, or comparable).
- Highly comfortable in Mac/Linux terminal-centric environments.
- Practical, hands-on use of AI-assisted development tools — specifically Claude Code, which this project mandates be pointed at AWS Bedrock — paired with the critical judgment to challenge AI output when it compromises long-term maintainability, including the leadership presence to set the standard for how the team uses AI tooling responsibly (e.g., flagging risky AI-driven shortcuts during PR review).
- Strong soft skills (mandatory, not a bonus): the ability to hold and defend a technical opinion — challenging a stakeholder's or a tool's proposed "quick fix" with sound reasoning in pursuit of a solution that scales and is maintainable long-term, while still being pragmatic enough to ship.
- Upper-intermediate English level.
NICE TO HAVES
- Direct experience with AWS Bedrock, Glue, or Athena specifically.
- Familiarity with Auth0, OpenFGA/ReBAC, or fine-grained authorization models generally.
- Experience with bun, or with modern JS runtimes/package managers beyond the Node default.
- Design-system or component-library ownership experience (Storybook, tokenization, Figma-to-code workflows).
- Experience with YouTube/creator-economy APIs, Google Trends, or digital advertising data structures.
PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location
Skills Required
- 7+ years of full-stack engineering experience with architectural ownership
- Strong production Python experience with FastAPI, SQLAlchemy, modern tooling such as uv, and consistent static typing
- Strong TypeScript and React experience, including Next.js
- Experience designing and consuming REST APIs and integrating external APIs at scale
- Experience with containerized workloads and asynchronous task processing using Celery, RQ, or comparable technologies backed by Redis
- Working familiarity with Kubernetes or EKS and object-storage-backed data lakes queried through serverless engines such as S3, Glue, or Athena
- Experience integrating LLMs into production applications through a managed platform
- Exposure to infrastructure as code and GitOps deployment pipelines using Terraform, GitHub Actions, ArgoCD, or comparable tools
- High comfort working in Mac or Linux terminal-centric environments
- Hands-on use of AI-assisted development tools, specifically Claude Code configured through AWS Bedrock
- Strong technical communication and judgment, including defending maintainable technical solutions and challenging quick fixes
- Upper-intermediate English proficiency
- Direct experience with AWS Bedrock, Glue, or Athena
- Familiarity with Auth0, OpenFGA, ReBAC, or fine-grained authorization models
- Experience with bun or modern JavaScript runtimes and package managers
- Design-system or component-library ownership experience, including Storybook, tokenization, or Figma-to-code workflows
- Experience with YouTube or creator-economy APIs, Google Trends, or digital advertising data structures
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The Company
What We Do
AgileEngine is a privately held company established in 2010 that builds dedicated teams of designers and developers. We turn good ideas into awesome software that people actually want to use. Some of the biggest names and the hottest startups around the world chose us to build their tech.
