Senior Golang Engineer

My client based in London are currently looking for a Golang Engineer. As a Golang Engineer on their application development team, you will play a key role in designing, building, and maintaining cutting-edge products throughout their full lifecycle.

Key Responsibilities

• Own the development and maintenance of microservices, primarily using Golang.
• Continuously improve services by fixing bugs, enhancing performance, and adding new features.
• Containerize services and prepare them for deployment on Kubernetes environments using Helm charts.
• Ensure high resilience, reliability, and scalability of services.
• Gain deep understanding of end-to-end technical architecture and system dependencies, applying this knowledge to your code.
• Write comprehensive tests, including unit, contract, end-to-end, and integration tests to ensure code quality.
• Use Git for version control and leverage CI/CD pipelines for building, testing, and deployment.
• Build and test locally and deploy code to various environments.
• Conduct thorough code reviews, offering constructive feedback and driving design discussions within the team.
• Manage project status updates and risk reporting related to your primary applications/services.
• Participate in demos, sprint planning, and acceptance discussions with analysts, developers, and product owners.
• Take full ownership of delivery tasks including design, development, testing, deployment, configuration, and documentation.
• Work in a hybrid environment with flexibility to collaborate both remotely and on-site.

Experience required:

• Strong experience in Python, Golang, and SQL in production environments, with willingness to learn new languages and frameworks.
• Comfortable working with large-scale data, building high-throughput, low-latency solutions.
• Knowledgeable about modern service design principles, including containerization, Kubernetes orchestration, streaming data platforms, APIs, and NoSQL/in-memory databases.
• Experienced with DevOps practices, continuous integration, and deployment workflows, with a mindset open to evolving processes and contributing to continuous improvement.
• Able to communicate effectively with diverse stakeholders, including data scientists, engineers, and enterprise DevOps/security teams.
• Familiar with best practices for code review, version control, and change management, balancing quality with the dynamic demands of a scaling tech environment.
• Skilled at optimizing solution performance within constrained technology stacks.
• Experience or strong interest in productionizing machine learning models and technologies.