Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Senior Software Engineer, Infrastructure role.
Rezi rewrites your resume against HUD's job description. Free.
Tailor your resume to this Senior Software Engineer, Infrastructure role.
Rezi rewrites your resume against HUD's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Software Engineer, Infrastructure posting at HUD — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Software Engineer, Infrastructure posting at HUD — free, in seconds.
About the Role
HUD is seeking a Platform Engineer to manage the reliability, scale, performance, and developer experience of its core infrastructure and backend systems. This role requires strong production infrastructure experience combined with backend engineering skills to design resilient systems.
Responsibilities
- Own production uptime, latency, provisioning speed, infrastructure cost, and incident response for core platform services.
- Build and maintain AWS infrastructure using 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 for quick failure detection and resolution.
- Build reliable CI/CD, release automation, environment management, and deployment workflows to enhance developer productivity and reduce production risk.
- Write clean, maintainable code for system automation, backend service improvement, and internal tooling.
Requirements
- Owned production cloud infrastructure for a high-availability, user-facing platform, with responsibility for uptime, performance, deployment safety, and cost.
- 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.
- Built or operated CI/CD, environment management, release automation, observability, alerting, and incident response systems.
- Strong backend engineering judgment and ability to reason about service architecture, APIs, databases, async systems, queues, scaling limits, and production failure modes.
- Ability to write clean, maintainable code and apply strong software engineering judgment across product architecture, infrastructure, backend systems, and developer workflows.
- 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.
- Prioritize technical aptitude, ownership, and learning potential over years of experience.
Skills
- AWS
- Kubernetes
- Terraform
- CI/CD
- Observability
- Backend services
- Helm
- Docker
- EC2
- CodeBuild
- ECR
- S3
- IAM
- Networking
- Secrets management
- Capacity planning
- Autoscaling
- Queueing
- Backpressure
- Retries
- Rollback paths
- Dashboards
- Alerts
- Logs
- Traces
- SLOs
- Runbooks
- On-call workflows
- Release automation
- Environment management
- Deployment workflows
- Service architecture
- Databases
- Async systems
- Scaling limits
- Production failure modes
- Product architecture
- Developer workflows
- Data-heavy platforms
- ML/AI platforms
- Workflow platforms
- Marketplace platforms
- Developer-tools platforms
- Enterprise platforms
- Bursty workloads
- Long-running jobs
- Sandboxed execution
- Distributed workers
- High-concurrency services
- Cloud spend reduction
- Caching
- Cleanup systems
- Internal platforms
- Internal tools
Location
- San Francisco
- Singapore
- Remote (with 70-80% overlap with SF or Singapore time zones)
Work Type
- Full-time
- Remote
- In-person (for some)
Experience Level
- Senior
Benefits
- Competitive compensation
- 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)
- Lunch and dinner when in the office (in-office employees)
- Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
- Equinox membership
- 401k
- Commuter benefits (US employees)
- Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.
- Support for relocation and visas for strong full-time candidates to the US or Singapore
About the Company
- HUD is building infrastructure for RL training data and evaluations for frontier AI agents, and a marketplace to sell these to frontier labs.
- The platform is used by frontier labs, Fortune 500 companies, and startups.
- HUD has raised $16M from top VCs and was part of YC W25.
- The company has 8 figures in both funding and revenue, and is scaling profitably and quickly.
- The team includes individuals with AI/ML backgrounds, including Olympiad medalists and researchers with publications in top AI conferences.