Technical Lead
Full-time
AgileEngine
Role Description
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.
- Guide senior engineers while ensuring alignment with established engineering standards and long-term maintainability.
- Help shape solutions in an often ambiguous, fast-moving environment by gathering context, defining problems, and turning loosely defined needs into scalable, maintainable technical solutions.
Qualifications
- 7+ years of full-stack engineering experience with a strong track record of architectural ownership.
- Strong production experience with Python (FastAPI or Flask).
- Solid TypeScript/React experience (Next.js or modern state management is a plus).
- Comfortable with REST APIs, including migrating away from legacy GraphQL endpoints where needed.
- Experience with Docker and relational databases (PostgreSQL), including comfort with database migrations.
- Demonstrated experience building or maintaining data-heavy applications (large payloads/datasets, performance-sensitive queries at the application layer).
- Working familiarity with AWS Ecosystem: object-storage-backed data lakes and serverless query engines (S3 + Athena or equivalent) and EKS/Kubernetes concepts.
- Familiarity with task orchestration and DAG-based orchestrators like Airflow.
- Highly comfortable in Mac/Linux terminal-centric environments (Bash, Makefiles).
- Practical, hands-on use of AI-assisted development tools (e.g., Claude Code) with critical judgment to challenge AI output.
- Strong soft skills: ability to hold and defend a technical opinion and challenge proposed "quick fixes" with sound reasoning.
- Comfort with ambiguity: ability to define problems and gather context before solving them.
- Upper-intermediate English level.
Requirements
- Direct production experience with Athena, S3-based data lakes, or Airflow.
- Production AI features using AWS Bedrock, LangChain, Pydantic AI, or similar.
- Experience with monorepo tooling (Nx) or modern package managers (Poetry, UV, Yarn).
- Familiarity with NoSQL/caching layers (Redis).
- Exposure to OLAP-style analytics tools (Trino/Presto, ClickHouse, SageMaker) as a plus.
- Experience with marketing data structures, campaign management APIs, or digital advertising metrics.
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.
Vacancy posted 22 days ago
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