Technical Lead ID71009

AgileEngine, LLC.; São Paulo; Presencial; BRL 280 000 - 420 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Growth without limits

Competitive compensation

Flexibility: 100% remote with flexible

Meaningful, modern projects

Collaborative culture

Well-being & support

Resumo da oferta

AgileEngine is seeking a Technical Lead to drive end-to-end application engineering for a large-scale marketing analytics platform. You will own code quality, architecture, and the deployment of containerized Python and React apps, integrating AI features while guiding senior engineers.

Remote work is available with flexible hours. You will collaborate with DevOps and ensure long-term maintainability within established engineering standards.

Qualificações

• 7+ years of full-stack engineering experience with architectural ownership.
• Strong Python experience (FastAPI or Flask).
• Solid TypeScript/React experience (Next.js or modern state management).
• Comfortable with REST APIs and migrating from GraphQL.
• Docker and PostgreSQL with migrations.
• Experience building data-heavy applications at scale.
• AWS ecosystem knowledge and Kubernetes concepts.
• Familiar with DAG-oriented tooling (Airflow) and DevOps collaboration.
• Comfort in Mac/Linux terminal environments and AI-assisted development tools.

Responsabilidades

• Code governance: review PRs and enforce quality standards.
• System architecture: design and deploy containerized apps with REST APIs.
• Integrate AI features and data-heavy backends into the platform.
• Collaborate with DevOps on AWS data lake and pipelines.
• Lead senior engineers and align with engineering practices.

Conhecimentos

Full-stack engineering

Python

TypeScript/React

REST APIs

Data-heavy applications

Soft skills

Ambiguity tolerance

Unix shell

AI-assisted development

Ferramentas

Docker

PostgreSQL

AWS

Airflow

Athena

S3

Kubernetes

Nx

Poetry

Yarn

Redis

LangChain

Pydantic AI

AWS Bedrock

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. You will also 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.

WHAT YOU WILL DO

• Code Governance: Review all PRs and enforce code quality standards, preventing "spaghetti code" and scope creep.
• System Architecture: Design and deploy containerized applications using REST APIs.
• Technical Integration: Embed complex logic, AI features, and outputs from data-heavy backends into the platform without disrupting existing workflows.
• AWS Ecosystem Engagement: Working knowledge of the 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.
• 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 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.
• 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).
• AWS Ecosystem: 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.
• Highly comfortable in Mac/Linux terminal-centric environments (Bash, 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.
• Comfort with ambiguity (mandatory): work is frequently ad hoc and underspecified. This role requires defining the problem — gathering context, identifying constraints, and framing the work — before solving it, rather than waiting for a specification. Experience limited to well-specified work executed through agent workflows is not a fit.

NICE TO HAVES

• Direct production experience with Athena, S3-based data lakes, or Airflow.
• Production AI features using AWS Bedrock, LangChain, Pydantic AI, or similar.
• Monorepo tooling (Nx) or modern package managers (Poetry, UV, Yarn).
• NoSQL/caching layers (Redis).
• Exposure to OLAP-style analytics tools (Trino/Presto, ClickHouse, SageMaker) as a plus, not a requirement.
• Experience 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