Senior Backend Engineer, Cloud Platform

Company shown to members 🔒 · Remote · UK, Poland, Bulgaria +1 only

UK, Poland, Bulgaria +1 onlySeniorPublished 22 October 2026Looks fresh

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First recorded by Psst: 23 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
Senior
Where you can live
UK, Poland, Bulgaria +1 only
Skills and tools
The company, python, typescript, node.js, aws, kubernetes
Job type
Full-time

Read from the ad by Psst's rules. Check the full ad below before applying.

Job details

Where you can work
United Kingdom, Poland, Bulgaria, Ukraine
Employment type
Full-time
Advertised pay
Not stated by the employer
Experience
Senior
Employer publication date
22 October 2026
First recorded by Psst
23 October 2026
Last checked at the source
10 November 2026

About the job

At the company, 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

The company'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 the company 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

The company 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.

Privacy Notice

The company collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. [link for members]

If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice [link for members] 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

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

AI Processing Notice

The company 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 [link for members]

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