Were looking for a platform engineer who can own the reliability scale performance and developer experience of HUDs core infrastructure and backend systems.
This is not a pure infrastructure role. The right person has strong production infra experience but also thinks like a backend engineer: they can reason about service architecture queues databases APIs deployment safety performance bottlenecks and how product requirements translate into resilient systems. Youll work across AWS Kubernetes Terraform CI/CD observability and backend services to make HUD faster more reliable cheaper to run and easier for engineers to build on.
Responsibilities
Own production uptime latency provisioning speed infrastructure cost and incident response for core platform services
Build and maintain AWS infrastructure with Terraform Kubernetes/EKS Helm Docker EC2 CodeBuild ECR S3 IAM networking and secrets management
Design and improve backend and platform systems for scale including capacity planning autoscaling queueing backpressure cleanup jobs retries and rollback paths
Define and improve dashboards alerts logs traces SLOs runbooks and on-call workflows so failures are detected debugged and resolved quickly
Build reliable CI/CD release automation environment management and deployment workflows that improve developer productivity and reduce production risk
Write clean maintainable code where needed to automate systems improve backend services and create internal tooling
Experience
You may be a good fit if you:
Have owned production cloud infrastructure for a high-availability user-facing platform with responsibility for uptime performance deployment safety and cost
Have deep experience with AWS infrastructure and containerized systems; experience with tools like Terraform Kubernetes/EKS Docker EC2 CodeBuild ECR S3 IAM load balancers networking and secrets management is strongly preferred
Have built or operated CI/CD environment management release automation observability alerting and incident response systems
Have strong backend engineering judgment and can reason about service architecture APIs databases async systems queues scaling limits and production failure modes
Can write clean maintainable code and apply strong software engineering judgment across product architecture infrastructure backend systems and developer workflows
Strong candidates may also have:
Experience operating infrastructure for data-heavy ML/AI workflow marketplace developer-tools or enterprise platforms
Experience designing systems for bursty workloads long-running jobs sandboxed execution distributed workers or high-concurrency services
Experience reducing cloud spend through better architecture autoscaling workload placement caching cleanup systems or observability
Experience building internal platforms or tools that make engineers faster without hiding too much complexity
We prioritize technical aptitude ownership and learning potential over years of experience.
Team & company details
Team Size: 15 people currently mostly full-time in-person but some remote.
Our team: Our team includes 4 International Olympiad medalists (IOI ILO IPhO) serial AI startup founders and researchers with publications at ICLR NeurIPS etc.
Company stage: We have 8 figures in funding and high revenue growth. Were scaling profitably and quickly to meet very strong demand.
Logistics
Employment: Full-time.
Location: On-site in the San Francisco Bay Area.
Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to the US.
Timeline: Applications are rolling. The process is 2 technical interviews and a 1-week work trial.
What we offer
Competitive compensation based on experience and location
100% covered top-of-the-line medical dental and vision from Blue Shield of CA
Lunch and dinner when youre in the office
Company-wide holiday break (Christmas Eve to New Years Day) on top of PTO and paid holidays
Other perks including an Equinox membership 401k and commuter benefits
Unlimited* access to tokens for ChatGPT Claude Code Cursor etc. *By unlimited we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.
About HUDHUD is building infrastructure to create RL training data and evals for frontier AI agents as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs Fortune 500 companies and startups. Weve raised $16M from top VCs and were YC...
Were looking for a platform engineer who can own the reliability scale performance and developer experience of HUDs core infrastructure and backend systems.
This is not a pure infrastructure role. The right person has strong production infra experience but also thinks like a backend engineer: they can reason about service architecture queues databases APIs deployment safety performance bottlenecks and how product requirements translate into resilient systems. Youll work across AWS Kubernetes Terraform CI/CD observability and backend services to make HUD faster more reliable cheaper to run and easier for engineers to build on.
Responsibilities
Own production uptime latency provisioning speed infrastructure cost and incident response for core platform services
Build and maintain AWS infrastructure with Terraform Kubernetes/EKS Helm Docker EC2 CodeBuild ECR S3 IAM networking and secrets management
Design and improve backend and platform systems for scale including capacity planning autoscaling queueing backpressure cleanup jobs retries and rollback paths
Define and improve dashboards alerts logs traces SLOs runbooks and on-call workflows so failures are detected debugged and resolved quickly
Build reliable CI/CD release automation environment management and deployment workflows that improve developer productivity and reduce production risk
Write clean maintainable code where needed to automate systems improve backend services and create internal tooling
Experience
You may be a good fit if you:
Have owned production cloud infrastructure for a high-availability user-facing platform with responsibility for uptime performance deployment safety and cost
Have deep experience with AWS infrastructure and containerized systems; experience with tools like Terraform Kubernetes/EKS Docker EC2 CodeBuild ECR S3 IAM load balancers networking and secrets management is strongly preferred
Have built or operated CI/CD environment management release automation observability alerting and incident response systems
Have strong backend engineering judgment and can reason about service architecture APIs databases async systems queues scaling limits and production failure modes
Can write clean maintainable code and apply strong software engineering judgment across product architecture infrastructure backend systems and developer workflows
Strong candidates may also have:
Experience operating infrastructure for data-heavy ML/AI workflow marketplace developer-tools or enterprise platforms
Experience designing systems for bursty workloads long-running jobs sandboxed execution distributed workers or high-concurrency services
Experience reducing cloud spend through better architecture autoscaling workload placement caching cleanup systems or observability
Experience building internal platforms or tools that make engineers faster without hiding too much complexity
We prioritize technical aptitude ownership and learning potential over years of experience.
Team & company details
Team Size: 15 people currently mostly full-time in-person but some remote.
Our team: Our team includes 4 International Olympiad medalists (IOI ILO IPhO) serial AI startup founders and researchers with publications at ICLR NeurIPS etc.
Company stage: We have 8 figures in funding and high revenue growth. Were scaling profitably and quickly to meet very strong demand.
Logistics
Employment: Full-time.
Location: On-site in the San Francisco Bay Area.
Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to the US.
Timeline: Applications are rolling. The process is 2 technical interviews and a 1-week work trial.
What we offer
Competitive compensation based on experience and location
100% covered top-of-the-line medical dental and vision from Blue Shield of CA
Lunch and dinner when youre in the office
Company-wide holiday break (Christmas Eve to New Years Day) on top of PTO and paid holidays
Other perks including an Equinox membership 401k and commuter benefits
Unlimited* access to tokens for ChatGPT Claude Code Cursor etc. *By unlimited we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.
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