Senior Site Reliability Engineer

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SecurityScorecard

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

🔒 Cybersecurity

🏢 Enterprise

💰 $180M Series E on 2021-03

Cybersecurity • Enterprise

SecurityScorecard is a company that focuses on cybersecurity and risk management. It provides solutions for supply chain detection and response, third-party cyber risk management, and external attack surface management. By leveraging AI and security ratings, SecurityScorecard helps organizations improve their cybersecurity postures and manage risks effectively. The company's platform allows for monitoring and remediation of vulnerabilities, collaboration with vendors, and compliance with regulatory mandates. SecurityScorecard serves a diverse range of industries, including public sector, technology, healthcare, financial services, and more. Its comprehensive suite of tools and services, such as Security Ratings and MAX, empower organizations to proactively manage cyber risks and enhance their overall security structures.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• competitive salary • stock options • Health benefits • unlimited PTO • parental leave • tuition reimbursements