Technical Lead ID71009

AgileEngine; Rio de Janeiro; Presencial; BRL 180 000 - 300 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Growth without limits

Competitive compensation

Flexibility: 100% remote

Meaningful, modern projects

Collaborative culture

Well-being & support

Resumo da oferta

AgileEngine in Rio de Janeiro invites a Technical Lead to drive end-to-end application engineering for a large-scale marketing analytics platform, owning code quality and architecture while mentoring senior engineers.

You will design and deploy containerized Python and React apps, integrate AI features, collaborate with DevOps, and ensure long-term maintainability and alignment with engineering standards.

Qualificações

• 7+ years full-stack engineering with architectural ownership.
• Proficient Python with FastAPI or Flask.
• Strong TypeScript and React experience; Next.js a plus.
• REST API design and migration from GraphQL.
• Docker and PostgreSQL, including migrations.
• Experience with data-heavy applications.
• Familiarity with S3 + Athena and Kubernetes.
• Awareness of DAG-based orchestration (Airflow).
• Mac/Linux Bash and Makefiles.
• AI-assisted development tools and responsible use.
• Strong English skills (upper-intermediate).

Responsabilidades

• Review PRs and enforce code quality standards against sprawl.
• Design and deploy containerized apps with REST APIs.
• Embed AI features and data-heavy backends without disrupting workflows.
• Collaborate with DevOps; understand data stack (S3, Athena, EKS).
• Define functional/non-functional requirements for pipelines.
• Lead senior developers and enforce engineering best practices.

Conhecimentos

Full-stack engineering

Architectural ownership

Python (FastAPI/Flask)

TypeScript & React

REST APIs

Docker & PostgreSQL

Data-heavy applications

AWS/Athena/EKS familiarity

Bash/Makefiles

AI-assisted development tooling

English (upper-intermediate)

Ferramentas

Docker

PostgreSQL

Kubernetes / EKS

Airflow

S3 data lake

Descrição da oferta de emprego

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 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

• 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