About the Role

We are looking for a Technical Lead to drive end-to-end application engineering for a large-scale marketing analytics platform, serving as the primary owner of code quality and application architecture. You will lead the design and deployment of containerized Python and React applications, integrate complex business logic and AI-powered features into an existing platform, collaborate closely with DevOps teams, and guide senior engineers while ensuring alignment with established engineering standards and long-term maintainability.

What you will do Review all PRs and enforce code quality standards, preventing "spaghetti code" and scope creep.

Design and deploy containerized applications using REST APIs.

Embed complex logic, AI features, and outputs from data-heavy backends into the platform without disrupting existing workflows.

Working knowledge of the client's data stack (S3-backed data lake queried via Athena, EKS/Kubernetes) and of how orchestrated pipelines feed the application — enough to collaborate with DevOps and clarify functional/non-functional requirements, without owning the analytical pipeline architecture directly.

Understand how orchestrated data pipelines feed the application and help define functional and non-functional requirements.

Lead senior developers and ensure adherence to engineering best practices and client standards. Must haves

7+ years of full-stack engineering experience with proven architectural ownership.

Strong production experience with Python using FastAPI or Flask.

Solid experience with TypeScript and React; knowledge of Next.js or modern state management is a plus.





Experience designing and working with REST APIs, including migration from legacy GraphQL endpoints.

Hands-on experience with Docker and PostgreSQL, including database migrations.

Demonstrated experience building or maintaining data-heavy applications (large payloads/datasets, performance-sensitive queries at the application layer).

Working familiarity with object-storage-backed data lakes and serverless query engines (S3 + Athena or equivalent) and with EKS/Kubernetes concepts — enough to drive DevOps conversations and reason about how data reaches the application. Hands-on pipeline design not required.

Task orchestration awareness: familiar with what a DAG-based orchestrator like Airflow does, or able to pick it up quickly from experience with a comparable engine. Won't be managing Airflow itself.

Strong command-line proficiency in Mac/Linux environments using Bash and Makefiles.

Practical, hands-on use of AI-assisted development tools (e.g., Claude Code), 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: 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

Production experience with Athena, S3-based data lakes, or Airflow.

Experience building AI features using AWS Bedrock, LangChain, Pydantic AI, or similar technologies.

Experience with monorepo tooling such as Nx or modern package managers including Poetry, UV, or Yarn.

Experience with Redis or other NoSQL and caching technologies.

Exposure to OLAP-style analytics tools (Trino/Presto, ClickHouse, SageMaker) as a plus, not a requirement.

Experience working with marketing data structures, campaign management APIs, or digital advertising metrics. 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 USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

📌 Technical Lead (Colombia)
🏢 Agileengine
📍 Colombia