Senior Python Engineer

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Cognativ

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

💼 Consulting

🥽 AR/VR

🤖 Artificial Intelligence

Consulting • AR/VR • Artificial Intelligence

Cognativ is an app development agency based in Melbourne, Australia. They combine user experience design, product strategy, and software engineering to deliver mobile and web applications, e-commerce systems, and branded digital experiences. Their specialties include UX and UI design, website and app development (iOS, Android, React Native, React. js, node. js, Python), conversion optimisation, and emerging technologies such as AI/machine learning and AR/VR; they position themselves as quality-focused IT services and consulting partners.

📋 Description

• - 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.

🎯 Requirements

• - 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.

🏖️ Benefits

• **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.