Software Engineer

Role overview

Acuity is seeking a driven Software Engineer with a focus on Python and AI to help build advanced platforms and applications that support business growth. You will join a skilled, collaborative team working on modern, cloud-native solutions and AI-enabled features that tackle practical business challenges.

This position suits someone who enjoys solving technical problems, thrives in a fast-moving environment, and wants to keep developing while contributing to high-impact work across a global organisation.

What you will do

• Design and build scalable software components and REST APIs for Acuity’s digital ecosystem.
• Develop solutions using Python, including FastAPI, Flask, object-oriented programming, type hints, async programming, and Pydantic.
• Support the deployment and day-to-day operation of containerized systems built on cloud-native principles.
• Help introduce and maintain AI capabilities within software products to improve automation and data insight.
• Contribute to CI/CD workflows and DevOps pipelines using tools such as ArgoCD and GitHub Actions.
• Work in Agile teams and help deliver incremental value through Scrum or Kanban practices.
• Participate in code reviews, pair programming, and technical design discussions to raise quality and share knowledge.
• Assist with unit, integration, and performance testing using PyTest and test-driven or behaviour-driven approaches.
• Apply security best practices, including authentication and authorization with OpenID and OAuth2, plus container vulnerability checks.
• Partner with product, cloud architecture, and data science teams to turn ideas into business results.

Required experience and background

• A bachelor’s degree in Computer Science, Engineering, or a closely related subject, or equivalent hands-on experience.
• At least 2 years of professional software development experience.
• Practical working knowledge of Python; experience with Golang, Rust, or Java would be an advantage.
• Some experience creating REST APIs with FastAPI, Flask, or similar frameworks.
• Comfort using version control tools such as Git and common branching approaches.
• Exposure to Agile delivery methods.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Understanding of software testing and automation.
• Strong communication and teamwork abilities.

Preferred experience

• Interest in AI, machine learning, or data-driven applications.
• Familiarity with containerization tools such as Docker and cloud-native development.
• Knowledge of CI/CD tools or DevOps practices.
• Experience with SQL or NoSQL databases.
• Curiosity about modern AI frameworks and tools such as LangChain, Hugging Face, or the OpenAI API.
• Interest in security-focused engineering or DevSecOps.

Tools and working environment

Agile tools: Jira, Azure DevOps. Collaboration tools: Confluence, Miro, Teams. Development tools: Git, VS Code, Docker. Testing tools: Postman, PyTest.