Senior Python Engineer

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🕒 Julho 27

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Cognativ

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2018

💼 Consultoria

🥽 AR/VR

🤖 Inteligência Artificial

Consulting • AR/VR • Artificial Intelligence

Cognativ é uma agência de desenvolvimento de aplicativos com sede em Melbourne, Austrália. Eles combinam design de experiência do usuário, estratégia de produto e engenharia de software para entregar aplicações móveis e web, sistemas de e-commerce e experiências digitais com marca. Suas especialidades incluem design UX e UI, desenvolvimento de sites e aplicativos (iOS, Android, React Native, React. js, node. js, Python), otimização de conversão e tecnologias emergentes como IA/aprendizado de máquina e AR/VR; posicionam-se como parceiros de serviços de TI e consultoria focados em qualidade.

Descrição

• - Design and build new Python services in the monorepo (schema, data access, business logic, APIs, and tests) to a high, consistent standard. • - Migrate functionality from Java to Python: study an existing Java service, capture its real behaviour and edge cases, and re-implement it idiomatically in Python without regressions. • - Maintain the Java stack as needed: diagnose and fix production issues, make targeted changes, and keep services healthy until they're retired. • - Set and uphold engineering standards in the new codebase: typing, structure, the libs/svcs separation, the repository pattern, testing, and review quality. • - Work with data: model schemas in PostgreSQL/TimescaleDB, write correct and efficient SQL, and design migrations. • - Own your work end to end: from design through deploy, observability, and on-call follow-through, and drive it to a durable resolution.

🎯 Requisitos

• - Strong software engineer first. Excellent fundamentals: data structures, concurrency, API and data modelling, testing, and writing code others can maintain. • - Senior-level Python in production: idiomatic, fully typed, well-tested. Comfort with async, packaging, and a modern toolchain (type checkers, linters, virtual envs). • - Solid Java in production: able to confidently read, debug, and modify a large existing Java codebase, and reason about its behaviour well enough to port it. • - Strong with relational databases (PostgreSQL preferred) writing SQL directly rather than leaning on an ORM, and designing schemas and migrations. • - Hands-on AWS experience building and operating real services. • - Migration / modernization mindset: you can hold "match the old behaviour" and "build it right for the next ten years" in your head at the same time. • - A bias for follow-through: you find what's actually needed, focus on it, and finish. • - Excellent English communication. • **Nice to have:** • - FastAPI, GraphQL (Strawberry or similar), and async Python at scale. • - uv, monorepo workflows, and strict typing (mypy) / ruff in CI. • - TimescaleDB or other time-series data. • - Gradle and/or Bazel builds; Jetty; AWS Lambda. • - Messaging and streaming: Kafka/MSK, SQS/SNS, Kinesis. • - Containers (Docker/ECR/ECS), CircleCI, and infrastructure-as-code (Terraform). • - Auth with Cognito, JWT/OIDC, or Entra; partner-integration work. • - Computer-vision / ML-adjacent systems, IoT, or edge/on-premise fleets.

🏖️ Benefícios

• **You will own the migration of a mature, real product from a large legacy Java estate to a clean, modern Python platform, making the architectural calls, setting the standard for everything that follows, and seeing your work reach a camera on a wall, an AI model, and a notification on a parent's phone. You get the satisfaction of greenfield Python without losing the grounding of a system that's already in production.** **We are an equal-opportunity employer. We welcome applicants from all backgrounds and are committed to building an inclusive team.