DETAILS
ID71007
Developer
Python / React.js
Engineering
Python / React.js
Python (FastAPI/Flask)
React + TypeScript
PostgreSQL
Full-time
- Argentina,
- Brazil,
- Colombia,
- Mexico,
- Guatemala
- LATAM,
- Argentina,
- Brazil,
- Colombia,
- Mexico,
- Guatemala
5+ years of experience
5+ years
Senior Lead Architect C-level
Remote
TECH STACK
Python (FastAPI/Flask)
React + TypeScript
PostgreSQL
Docker
REST APIs
71006
About the role
We are looking for a Senior Full Stack Developer to build and maintain backend services and frontend interfaces that surface, validate, and resolve issues in data coming from ETL pipelines, data lake outputs, and ML model results for a large-scale marketing analytics platform. You will develop REST APIs in Python using FastAPI or Flask, build responsive React and TypeScript frontends, manage PostgreSQL schemas and migrations, and leverage AI-assisted development tools with the critical judgment to push back on shortcuts that compromise long-term maintainability. You will work in an environment where requirements are often ad hoc and underspecified, taking ownership of defining the problem, gathering context, identifying constraints, and shaping practical solutions before implementation.
What you will do
- Build and maintain scalable backend services (REST APIs) and responsive frontend interfaces (React/TypeScript).
- Build the interfaces and services that surface, validate, and resolve issues in data coming from the data lake, ETL pipelines, health-check logic, or model outputs — without necessarily owning pipeline architecture.
- Package and manage applications using Docker.
- Use AI-assisted development tools (e.g., Claude Code) to move fast during implementation — while critically evaluating AI-generated output and pushing back when it isn't the right long-term solution.
- Drive conversations directly with client engineers to clarify both functional and non-functional requirements, rather than defaulting to whatever "just works" in the short term.
- Work daily alongside client engineers over Slack and Google Meet.
Must haves
- 5–7 years of full-stack software development experience.
- Strong proficiency in Python (FastAPI or Flask) and TypeScript/React.
- Solid understanding of relational databases (PostgreSQL) and database migrations.
- Comfortable with REST APIs; able to work with and migrate away from legacy GraphQL where needed.
- Demonstrated experience building or maintaining data-heavy applications (large datasets, performance-sensitive queries at the application layer).
- Practical, hands-on use of AI-assisted development tools, paired with the critical judgment to challenge AI output when it compromises long-term maintainability.
- High comfort level working entirely in a Mac/Linux terminal environment (Bash, Makefiles).
- 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.
- 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.
- Upper-intermediate English level.
Nice to haves
- Exposure to object-storage-backed data lakes and serverless query engines (S3 + Athena, or comparable — Trino/Presto, BigQuery, Spark SQL).
- Familiarity with DAG-based task orchestration (Airflow, Dagster, Prefect, Step Functions), or the ability to pick it up quickly.
- Data engineering exposure — experience building or maintaining ETL pipelines, advanced SQL (complex queries, data validation, optimization).
- Caching/NoSQL systems (Redis, DynamoDB).
- Monorepo tooling or modern package managers (Nx, Poetry, UV).
- Familiarity with AWS Bedrock or similar AI/LLM SDKs.
- Experience with marketing data structures, campaign management APIs, or digital advertising metrics.
Perks
- 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
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Welcome to AgileEngine!
Have any questions?
What is the work format and schedule?
We are a remote-first company, so all our positions are remote. Schedules are flexible, but the main requirement is to have an overlap with your client’s schedule to ensure smooth collaboration. Specific details depend on the project and are discussed during the interview process.
What level of English is required?
We look for Upper-Intermediate (B2) proficiency or higher. Since you will be collaborating with international teams and global clients (including Fortune 500 companies), English is a part of your daily work.
Does AgileEngine provide work equipment?
It depends on your location. We provide equipment in Ukraine, Poland, Argentina, Colombia, Mexico, Brazil, Guatemala, Portugal, Spain, and India. In the USA, equipment is usually provided by the client; otherwise, you will be expected to use your own setup.
What opportunities for professional growth do you offer?
We support continuous growth through personalized development paths tailored to each expert. Also, you can expect:
- An annual learning and development budget
- Internal workshops, tech talks, and mentorship programs
- Opportunities to switch projects or grow into new roles over time
What does a typical team look like, and what tools do you use?
Teams vary by project, but you’ll usually work with a mix of experts across different fields, along with a delivery or project manager who supports collaboration and onboarding.
For day-to-day work, teams commonly use tools like Jira and Google Workspace, along with communication platforms such as Google Chat. Depending on the client, you may also work with Slack, Confluence, Notion, or similar tools.
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