Senior Fullstack Software Engineer (Python) - AA, Remote: Colombia - Costa Rica,

Gorilla Logic is looking for a Senior Software Engineer, Full-Stack with strong backend expertise in Python to join an established engineering team building and scaling an automated evaluation platform for agent-oriented software products.

This is a backend-heavy, hands-on engineering role focused on building production services and durable workflows that evaluate third-party applications through APIs and browser-driven interactions. You will work with significant autonomy, taking technical problems from discovery and design through implementation, testing, and production release.

You’ll collaborate directly with a US-based client team and cross-functional partners while working with technologies including Python, FastAPI, durable execution frameworks, Docker, Kubernetes, Argo CD, and AWS.
Responsibilities

- Design, build, and maintain production backend services using Python and FastAPI.

- Build and extend systems that orchestrate automated evaluations of third-party software products.

- Develop long-running background jobs and durable workflows that are resumable, reliable, and observable.

- Integrate with third-party APIs and systems, including authentication, rate limiting, retries, partial failures, and changing external contracts.

- Build and improve browser-driven automation workflows when APIs are unavailable or insufficient.

- Instrument evaluation workflows to ensure results and failures are measurable, reproducible, traceable, and easy to diagnose.

- Analyze evaluation results and continuously improve configurations, fidelity, and coverage.

- Design solutions that are scalable, maintainable, observable, and production ready.

- Build, test, and maintain containerized applications deployed through established CI/CD and Kubernetes environments.

- Use AI-assisted and agentic software engineering tools throughout planning, development, testing, and maintenance.

- Take ambiguous technical requirements and independently develop practical, defensible implementation approaches.

- Identify when existing technical patterns are insufficient and propose new solutions when appropriate.

- Collaborate with data science, engineering, and product stakeholders to ensure implementations accurately exercise required product capabilities.

- Contribute engineering perspectives to technical discovery, scoping, and prioritization.

Technical Requirements

- Strong professional experience building production backend applications with Python.

- Hands-on experience with FastAPI or a comparable modern Python web framework.

- Experience building and maintaining background job systems, workflow orchestration, or durable execution systems such as DBOS, Temporal, Airflow, Celery, Prefect, AWS Step Functions, or similar.

- Strong understanding of idempotency, retries, failure recovery, and long-running stateful workflows.

- Proven experience integrating with third-party APIs and external systems, including authentication and resilience to upstream failures.

- Experience designing, testing, and operating production-quality distributed or backend systems.

- Working knowledge of Docker and Kubernetes-based deployments.

- Ability to understand and work effectively with established CI/CD pipelines.

- Strong experience with testing, observability, logging, and distributed tracing.

- Ability to work autonomously when requirements are ambiguous and independently drive technical discovery and implementation.

- Effective use of AI coding agents and AI-assisted development tools as part of day-to-day software delivery.

- Strong software engineering and system design fundamentals.

- Strong spoken and written English communication skills.

- Ability to collaborate directly with US-based client teams and stakeholders working in US Central Time.

Nice to Have

- Experience with browser automation frameworks such as Playwright, Puppeteer, or Selenium.

- Experience designing reliable headed and headless browser automation and managing