[Hiring] Senior Site Reliability Engineer @SecurityScorecard

Role Description

As a Senior Site Reliability Engineer, you will be a key technical leader driving the design and optimization of our Kubernetes-based infrastructure and CI/CD systems. You will also own the infrastructure behind our AI tooling — building MCP servers and defining safe, auditable AI access patterns for production systems. You'll work hands-on with engineering teams to accelerate delivery, ensure production reliability, and embed best practices for automation, observability, and resilience.

• Design, build, and scale Kubernetes infrastructure for secure, multi-tenant, high-availability applications.
• Build and operate AI tooling infrastructure — stand up MCP servers and establish secure, governed AI access and guardrails for production systems.
• Optimize and maintain CI/CD pipelines, improving reliability, speed, and rollback safety.
• Implement progressive delivery strategies such as blue/green and canary deployments.
• Advance Infrastructure as Code with Terraform, Helm, and Argo CD, defining reusable patterns for the org.
• Operate and optimize streaming and analytics infrastructure: Kafka, Flink, and ClickHouse.
• Build automated testing into the CI/CD lifecycle.
• Improve system observability — define SLOs, alerts, and dashboards.
• Lead incident response and postmortems, focusing on root cause and durable fixes.
• Mentor engineers across teams on Kubernetes, CI/CD, and cloud infrastructure.

Qualifications

• 6+ years in SRE, DevOps, or Infrastructure roles, with significant production Kubernetes experience.
• Hands-on experience integrating AI/LLM tooling into engineering or operational workflows (e.g., MCP servers, AI agents acting on infrastructure), and a clear grasp of the security and governance considerations of giving AI access to production.
• Proven success building CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, or similar).
• Strong with Kubernetes internals and managed services like EKS, GKE, or AKS.
• Expertise with Infrastructure as Code (Terraform, Helm, Pulumi) and GitOps.
• Proficient in Python, Bash, or Go.
• Knowledge of observability tooling (Prometheus, Grafana, Datadog, OpenTelemetry).
• Production experience with Kafka, Flink, and ClickHouse.
• Strong communication and cross-team collaboration skills.

Requirements

• Multi-region or multi-cluster Kubernetes experience.
• Chaos engineering or resilience testing.
• Security scanning, compliance automation, or policy-as-code.
• LLM observability/tracing tooling (Langsmith, Langfuse) or MLOps workflows.
• Contributions to open-source Kubernetes or CI/CD projects.

Benefits

• Specific to each country, we offer a competitive salary, stock options, health benefits, and unlimited PTO.
• Parental leave, tuition reimbursements, and much more!
• The estimated total compensation range for this position is $152,000 - $195,000 (base plus bonus).
• Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range.
• In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.