
Site Reliability Engineer - Public Sector
Blitzy
Posted 2026-08-05
USD 140,000 - USD 170,000 per year
Tech & Engg
Job Description
Ovii's Interpretation of the Role
Blitzy seeks a remote Site Reliability Engineer to own the deployment, operation, and observability of its self‑hosted AI platform for a public‑sector customer. The role blends deep technical ownership with direct partnership with customer security and infrastructure teams.
Role Snapshot
- Site Reliability Engineer
- Public‑sector focus
- Remote (U.S.)
- Kubernetes‑based deployments
- Embedded engineer on customer account
- Observability & incident management
Must-Have Requirements
- Kubernetes
- Infrastructure-as-Code (Terraform / Pulumi)
- Cloud platform (AWS / Azure / GCP)
- Observability tooling
- Incident management & on‑call
- Scripting (Python, Go, Bash)
- U.S. citizenship
- Site Reliability Engineering
- Kubernetes orchestration
- Regulated network environments
- U.S. citizenship required
Nice-to-Have Signals
- Experience with government‑accredited cloud environments
- AI/ML workload infrastructure experience
- Embedded/forward‑deployed engineer background
- Startup high‑growth experience
- Familiarity with regulated‑industry security frameworks
- Government‑accredited cloud deployments
- AI/ML workload support
- AI/ML
Work Setup
- Location: United States
- Work mode: REMOTE
- Remote scope: COUNTRY_RESTRICTED
- Remote countries: United States
- Travel: occasional travel for key customer workshops
- Employment type: Full-Time
Eligibility Gates
- Work authorization: U.S. citizenship required
- Visa sponsorship: no
- Security clearance: none
- Background check: customer background/badging process
Not Specified in JD
- Visa sponsorship
- Relocation
- Notice period
- Security clearance
- Coding test
- Portfolio
- GitHub
What You'll Likely Work On
- Deploy, operate, and maintain Blitzy's self‑hosted platform inside a customer‑controlled, secure cloud environment.
- Own the Kubernetes deployment lifecycle, including releases, upgrades, capacity planning, and performance benchmarking for AI workloads.
- Design and run observability pipelines—logging, metrics, tracing, and alerting—fully within the customer's security boundary.
- Partner with customer infrastructure, security, and governance teams on provisioning, reviews, documentation, and escalations.
- Handle sensitive data per strict security requirements and champion best‑practice security controls.
- Feed operational lessons back into Blitzy's product and infrastructure roadmap for future public‑sector deployments.
Good Fit If You Have
- Strong communication with customer engineering, security, and governance stakeholders.
- Experience operating in highly regulated or restricted network environments.
- Background supporting AI/ML workloads or related infrastructure.
- Prior forward‑deployed or embedded‑engineer experience at an enterprise site.
- Adaptability from high‑growth startup environments.
Skills
- Kubernetes
- Infrastructure‑as‑Code (Terraform / Pulumi)
- Cloud platform (AWS / Azure / GCP)
- Python / Go / Bash scripting
- Observability tooling (logging, metrics, tracing, alerting)
- Incident response & on‑call practices
- Secure/regulated cloud environments
- Capacity planning & performance benchmarking
Remote Eligibility
- United States