AWS Senior Cloud Engineer
1 month ago
About Causal Inference
At causaLens, we're revolutionizing the way businesses make decisions with our pioneering Causal AI technology. Our enterprise platform goes beyond predictions, providing causal insights and suggested actions that directly improve business outcomes for leading organizations across various industries.
The Role
We're seeking an exceptional Senior Backend Software Engineer to join our Engineering team in London. This full-time position offers significant opportunities for non-linear growth and a chance to develop our multi-tenanted, multi-cloud data science platform. Your focus will be on designing, implementing, and maintaining our platform, with responsibilities including service and API design, backend Python implementation, CI/CD rollout, and meeting quality standards. You'll work on integrating key elements of MLOps workflows with causal AI capabilities, ensuring robustness, scalability, and efficiency.
- Design and implement APIs, services, and packages to meet users' needs.
- Develop and enhance CI/CD flows to improve quality, accountability, and standards across the product stack.
- Collaborate with cross-functional teams to align technical solutions with business objectives and user needs.
About Working at causaLens
We offer a unique opportunity to leverage expertise in Cloud Native Infrastructure and Python engineering to ensure users spend their time building value and not setting up systems. If you're passionate about building smooth-running systems that break down and simplify complex flows, we encourage you to apply and contribute to our team.
- 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 production Python cloud applications, 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).
- Strong knowledge of the software development lifecycle (code review, version control, tooling, testing, etc.).
Benefits
We provide competitive salary, 25 days of paid holiday, plus bank holidays, and a pension scheme. You'll also have access to mental health support through Spill, a cycle-to-work scheme, and office snacks and drinks.
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