Senior Backend Engineer, Cloud Platform

This is a fully remote position, open to applicants in United Kingdom, +6 more countries.

📋 Description

• Develop and expand AWS infrastructure alongside reusable platform abstractions, with a particular emphasis on Amazon EKS, networking, and self-hosted services.

• Recognize opportunities for improvement and potential risks, proposing solutions that enhance reliability, scalability, and cost-effectiveness.

• Automate shard buildouts and implement Terraform guardrails and fortified ingress to minimize incidents.

• Scale systems for multi-shard and multi-region expansion while adhering to SOC 2, ISO 27001, disaster recovery, and enterprise security standards.

• Collaborate with SRE, Security, product, AI, and enterprise teams to connect infrastructure and product engineering effectively.

• Take responsibility for Cloud Platform reliability through on-call duties, incident response, postmortems, runbooks, and preventative measures.

• Utilize AI tools on a daily basis to enhance development, testing, infrastructure-as-code, operations, and investigations, while contributing to improved team AI utilization.

⛳️ Requirements

• Over 6 years of experience in building and managing large-scale distributed systems, focusing on infrastructure and cloud, particularly compute foundations.

• Extensive hands-on experience in operating and troubleshooting Kubernetes in production, including control-plane, node, and networking challenges; experience with Amazon EKS at fleet scale is preferred.

• Strong expertise in AWS services, including EKS, EC2, Lambda, API Gateway, VPC networking, IAM, S3, and KMS.

• Familiarity with Bedrock is advantageous.

• Experience working with multi-account AWS environments comprising 20+ accounts, including Transit Gateway, PrivateLink, VPC routing, DNS, and load balancing.

• Proven experience with infrastructure-as-code at scale using Terraform; knowledge of CDK is a plus.

• Proficiency in at least one programming language; Go, Python, or TypeScript/Node.js are preferred.

• Background in hybrid monolith/microservices architectures.

• Experience managing data stores at scale, including PostgreSQL, DynamoDB, S3, and Redis/Valkey.

• Demonstrated success in enhancing infrastructure reliability and efficiency while implementing security guardrails.

• Strong production debugging skills that span application and infrastructure boundaries.

• Excellent written communication and effective cross-functional collaboration abilities.

• Daily user of AI with tangible examples of how AI has enhanced engineering workflows.

🏝️ Benefits

• AI-driven company culture that promotes daily AI usage and evaluates AI proficiency during the hiring process.

• Opportunity to contribute to infrastructure that supports millions of users.

• Collaboration with SRE, Security, product, AI, and enterprise teams.

• Ownership of on-call duties, incident response, postmortems, runbooks, and prevention activities.

• Commitment to equal opportunity employment.