Senior Backend Engineer
July 22
🔄 Hybrid – London
Description
• Develop and maintain our Causal AI platform • Focus on designing, implementing and maintaining our multi-tenanted, multi-cloud data science platform • Responsible for service and API design, backend python implementation, CI/CD rollout and meeting quality standards • Collaborate closely with product managers, team leads and other senior engineers to understand the needs and requirements of services • Work directly on integrating key elements of MLOps workflow with causal AI capabilities
Requirements
• Bachelor's or Master's degree in Computer Science, Physics, Maths, or a related field or equivalent industry experience • 3-5 years of professional experience in a production python cloud application, machine learning engineering, or a related role, with exposure to deploying machine learning models into production • Demonstrably strong Python skills with experience in distributed systems • Strong knowledge and experience with Cloud Native Infrastructure (GCP, Azure, AWS) with demonstrable skills in using and managing Kubernetes clusters • Good knowledge of DevOps tools and technologies, such as Helm, Docker, Terraform and CI/CD pipelines (GitHub Actions) • Knowledge of MLOps especially on cloud environments: Vertex, Sagemaker, Synapse, is a huge plus • Strong Knowledge of the software development lifecycle (code review, version control, tooling, testing, etc.) • Understanding of the full stack would be ideal (REST backends and SPA frontends)
Benefits
• Access to mental health support through Spill • Competitive salary • 25 days of paid holiday, plus bank holidays • Share options • Pension scheme • Happy hours and team outings • Referral bonus program • Cycle to work scheme • Friendly tech purchases • Office snacks and drinks
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