Software Engineer, Infrastructure

What You’ll Do

• Own and evolve our Kubernetes infrastructure, including cluster management, service mesh configuration, and container security policies.
• Design and implement progressive delivery pipelines with canary deployments, automated rollbacks, and deployment health validation.
• Build and maintain our observability infrastructure in Datadog, including dashboards, monitors, SLOs, and distributed tracing.
• Drive incident response for high-severity outages and proactively model capacity needs for low-latency AI inference.
• Architect and automate secure infrastructure using Infrastructure-as-Code for VPCs, IAM policies, Kubernetes manifests, and private cloud deployments.
• Maintain and improve the infrastructure controls that support our SOC 2 compliance posture.
• Lead customer engagements for enterprise rollouts and mentor mid-level engineers on infrastructure best practices.

What We’re Looking For

Must-Haves:

• 8+ years in infrastructure engineering or DevOps at high-growth or hyperscale companies.
• Experience with Docker and Kubernetes, including production cluster management, Helm, and service mesh technologies.
• A proven track record of architecting and operating AWS (preferred), GCP, or Azure at an enterprise scale.
• Experience with observability platforms, preferably Datadog (metrics, logs, APM, distributed tracing).
• A strong background in Infrastructure-as-Code (Terraform, Helm, Kustomize) and safe deployment practices (progressive delivery, canary deployments, GitOps, automated rollbacks).
• "Battle scars" from leading outages, capacity events, and large-scale incident reviews.
• Strong programming skills in Python.

Bonus Points:

• Familiarity with TypeScript.
• Direct involvement in SOC 2 or other compliance audit preparation or remediation.
• Direct experience with private-cloud or on-premises deployments for regulated customers.
• Previous experience at startups scaling infrastructure from the early stages to the enterprise level.
• A background in fintech or building systems for highly regulated industries.
• Experience with AI/ML infrastructure and model deployment at scale.

Compensation & Benefits

• $168k - $213k + equity
• Comprehensive healthcare, 401k matching, commuter benefits
• 15 days PTO + holidays, unlimited sick days
• Flexible leave options