Senior Backend Engineer - AWS

About

Client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.

Client helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Client —based in San Francisco, California—was named #1 on The Information's annual list of "Top 50 Most Promising B2B Companies," and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT.

About the Role

Join a fast-paced engineering team building a greenfield backend service with cloudnative tools to support millions of users. In this role, you’ll lead the architecture, development, and operationalization of scalable microservices, contributing directly to reliability, security, and performance. You’ll thrive in an autonomous environment, take ownership of end-to-end challenges, and mentor other engineers as the team grows.

This is a fully remote position. Candidates must have at least 8 hours of overlap with London working hours.

Required Skills

• Extensive experience building scalable backend systems in AWS (Fargate, ALB, DynamoDB, Cloudflare, OAuth).

• Proficient in Kotlin (Ktor) or similar JVM frameworks for API and microservice development.

• Strong grasp of distributed systems, data modeling, and API design (REST, gRPC, event-driven).

• Skilled in observability using OpenTelemetry, CloudWatch, and Grafana.

• Familiar with Infrastructure as Code tools like CDK or Terraform.

• Experienced with automated testing (unit, integration, load) and CI/CD best practices - Strong communication and collaboration skills in cross-functional teams.

• Passion for secure-by-default design and data governance compliance.

• Comfortable acting as an educator and mentor within the team.

Bonus Skill

• Knowledge of GCP with willingness to upskill in AWS.

• Experience in progressive delivery practices and feature flagging.

• Familiarity with building platforms at a global scale.

• Experience contributing to engineering culture and continuous improvement initiatives.