Senior Fullstack Software Engineer, Python

🕒 Setembro 4

🌐 Colômbia, Costa Rica – Remoto

🇨🇴 Colômbia – Remoto 🇨🇷 Costa Rica – Remoto

⏰ Tempo Integral

🟠 Sênior

🔙 Engenheiro Backend

👻 Score fantasma 10%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Gorilla Logic

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

💼 Consultoria

📣 Marketing

📦 Logística

Consulting • Marketing • Logistics

A Gorilla Logic é reconhecida por sua expertise em engenharia moderna de software e de dados. Atuando como parceira estratégica, e não apenas como fornecedora, a Gorilla Logic é especializada em design de produtos digitais, engenharia de cloud, entrega de soluções de Data & AI, DevOps, QA (Quality Assurance) e modernização de sistemas legados. Com um time de designers de produtos digitais, arquitetos de soluções e equipes Agile nearshore altamente qualificadas, a Gorilla Logic vem sendo fundamental no desenvolvimento de aplicações de software críticas para os negócios de empresas Fortune 500 e PMEs há mais de 20 anos. Seus serviços incluem a criação de plataformas SaaS, o aprimoramento de experiências digitais e a oferta de soluções flexíveis com foco em segurança. A Gorilla Logic opera com equipes localizadas na Costa Rica, Colômbia, México e Estados Unidos, com ênfase em parcerias colaborativas para entregar soluções de engenharia digital de ponta.

Descrição

• 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 so results and failures are measurable, reproducible, traceable, and easy to diagnose • Analyze evaluation results and continuously improve configurations, fidelity, and coverage • Design scalable, maintainable, observable, and production-ready solutions • 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 • Independently take ambiguous technical requirements from discovery and design through implementation, testing, and production release • Identify insufficient technical patterns and propose new solutions when appropriate • Collaborate with data science, engineering, and product stakeholders • Contribute engineering perspectives to technical discovery, scoping, and prioritization

🎯 Requisitos

• 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 • Nice to have: Experience designing reliable headed and headless browser automation and managing flaky automation workflows • Nice to have: Exposure to AI or agent evaluation methodologies, including evaluation harnesses, benchmark design, LLM-as-judge approaches, or agent trajectory analysis • Nice to have: Familiarity with AI evaluation frameworks such as τ²-bench (tau2-bench) • Nice to have: Experience working with DBOS or Temporal for durable workflow execution • Nice to have: Hands-on experience with Argo CD or other GitOps-based deployment approaches • Nice to have: Experience deploying applications to Kubernetes environments on AWS • Nice to have: Experience developing product functionality using frontier AI models, including prompting, context management, tool use, and model reasoning • Nice to have: Familiarity with the AI agent, LLM, or AI developer tooling ecosystem • Nice to have: Interest in understanding, evaluating, and improving how agent-based software behaves in real-world scenarios

🏖️ Benefícios

• Remote work arrangement • Full-time employment • Collaboration with a US-based client team • Opportunity to work with Python, FastAPI, Docker, Kubernetes, Argo CD, and AWS • Use of AI-assisted and agentic software engineering tools