Software Engineer ( Python )

Key Responsibilities

• Design, develop, test, and support robust, production-ready software solutions, adhering to modern engineering best practices.
• Build and maintain microservices-based systems, with a strong focus on scalability, resilience, and performance.
• Develop and optimise scalable data pipelines, supporting both batch and streaming workloads, using technologies such as Apache Spark.
• Work extensively with data technologies, leveraging Python and SQL to deliver high-quality analytical and data-driven solutions.
• Lead the design and delivery of data-centric applications, translating complex business and analytical requirements into well-architected technical solutions.
• Implement and integrate large language models (LLMs), including:
• Utilising both proprietary and open-source models
• Fine-tuning models to meet specific business use cases
• Delivering solutions via APIs, such as OpenAI APIs
• Collaborate closely with product managers, data scientists, and engineering peers to shape technical designs and delivery approaches.
• Apply strong problem-solving and analytical skills to diagnose issues, optimise performance, and improve overall system reliability.
• Contribute to architectural decision-making, participate in code reviews, and support the continuous improvement of engineering standards and practices.

Required Skills & Experience

• Demonstrable hands-on experience developing production-grade backend systems.
• Proven experience designing and implementing microservices architectures, ideally within cloud environments.
• Strong background in data engineering, including building and maintaining large-scale data pipelines.
• Advanced proficiency in Python and SQL.
• Practical experience working with large language models, including model fine-tuning and API-based integrations (e.g. OpenAI).
• Experience in solution and system design, particularly for data-driven and analytical platforms.
• Solid understanding of core software engineering principles, including version control, automated testing, and deployment pipelines.
• Excellent analytical thinking and problem-solving skills, with a pragmatic and delivery-focused mindset.

Desirable Skills

• Experience working with major cloud platforms such as AWS, Azure, or GCP.
• Familiarity with containerisation and orchestration technologies (e.g. Docker, Kubernetes).
• Exposure to MLOps practices or deploying AI/ML models into production environments.
• Experience working in agile or fast-paced delivery teams.