Senior Backend Engineer, Cloud Platform

At [Employer], we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀

The role

[Employer]'s Cloud Platform team builds scalable, secure, and cost-efficient AWS infrastructure, with a heavy focus on Amazon EKS, that stays ahead of product and enterprise growth. Our goal: product velocity is never blocked by platform constraints. As a Senior Software Engineer, you leverage AI to design, build, and operate the compute, networking, and infrastructure-as-code foundation that powers [Employer] for millions of users.

What you'll do

• Build and scale AWS infrastructure and reusable platform abstractions that simplify development, with a strong focus on Amazon EKS, networking, and self-hosted services.
• Identify improvement opportunities and emerging risks, and propose novel solutions that improve reliability, scalability, and cost efficiency before constraints become blockers.
• Automate shard buildouts and implement Terraform guardrails and hardened ingress that reduce incidents.
• Scale systems for multi-shard, multi-region growth while meeting compliance attestations (SOC 2, ISO 27001, etc), disaster recovery, and enterprise security requirements.
• Partner with SRE, Security, product, AI, and enterprise teams to bridge infrastructure and product engineering.
• Own the reliability of Cloud Platform itself: on-call, incident response, postmortems, runbooks, and prevention.
• Use AI tooling daily to accelerate development, testing, IaC, operations, and investigations, and help the team raise its AI leverage.

What we're looking for

• 6+ years building and operating large-scale distributed systems with a focus on infrastructure and cloud, especially compute foundations.
• Deep, hands-on experience operating and troubleshooting Kubernetes in production, including control-plane, node, and networking issues, ideally Amazon EKS at fleet scale.
• Strong AWS experience: EKS, EC2, Lambda, API Gateway, VPC networking, IAM, S3, KMS. Bedrock is a plus.
• Multi-account AWS (20+ accounts) experience, including Transit Gateway, PrivateLink, VPC routing, DNS, and load balancing.
• Infrastructure-as-code at scale with Terraform (CDK experience is a plus).
• Fluent coding in at least one language (Go, Python, or TypeScript/Node.js preferred).
• Experience with hybrid monolith/microservices architectures.
• Experience operating data stores at scale, such as PostgreSQL, DynamoDB, S3, and Redis/Valkey.
• Track record of improving infrastructure reliability and efficiency and implementing security guardrails.
• Strong production debugging across application and infrastructure boundaries, clear written communication, and effective cross-functional collaboration.
• Daily AI user with concrete examples of how AI supercharged your engineering workflow.

Equal Opportunity Employer

[Employer] is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

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If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice for further details.

Visa Sponsorship

Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.

Fraud Alert

[Employer] Talent Acquisition will only initiate contact via an @[Employer].com email or through our official careers portal on [Employer].com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to [email removed].

AI Processing Notice

[Employer] may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at [email removed].