Senior Software Engineer, Infrastructure

About the role

This is a backend‑architecture‑heavy platform engineering role sitting within a tight‑knit engineering team of roughly 15 people. You will own the reliability, scale, performance, and developer experience of core infrastructure and systems for an AI/ML evaluation and reinforcement learning platform. The work has direct, measurable impact on how fast, reliable, and cost‑effective the platform is to build on and operate.

Key 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, covering 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 pipelines, release automation, environment management, and deployment workflows that improve developer productivity and reduce production risk.
• Write clean, maintainable code to automate systems, improve backend services, and create internal developer tooling.

Required profile

• 2‑4 years of experience owning production cloud infrastructure for a high‑availability, user‑facing platform.
• Deep hands‑on experience with AWS and containerized systems; Terraform, Kubernetes/EKS, Docker, EC2, networking, load balancers, and secrets management.
• Track record of building or operating CI/CD, release automation, observability, alerting, and incident response systems.
• Strong backend engineering judgment across service architecture, APIs, databases, async systems, queues, scaling limits, and production failure modes.
• Experience designing systems for bursty workloads, long‑running jobs, sandboxed execution, distributed workers, or high‑concurrency services.
• Demonstrated focus on reducing cloud spend through better architecture, autoscaling, workload placement, caching, cleanup systems, or observability.

Required skills

• AWS
• Terraform
• Kubernetes
• EKS
• Helm
• Docker
• EC2
• CodeBuild
• ECR
• S3
• IAM
• Networking
• Secrets management
• CI/CD
• Observability
• Alerting
• Incident response

What we offer

• Salary range $150,000–$250,000 USD annually.
• Visa sponsorship is available.