Senior/Staff Site Reliability Engineer

🔥 12 hours ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Pinecone

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $28M Series A on 2022-03

Artificial Intelligence • SaaS • Enterprise

Pinecone is a leading knowledge platform that focuses on building accurate, secure, and scalable AI applications using its vector database. The company is known for powering AI solutions for top companies, including Cisco, by enabling precise and secure search through its integration with Google Cloud. Pinecone offers tools for embedding, upserting, and indexing data via an easy-to-use API, supporting various AI workloads like multi-modal search and classification. With a strong commitment to security and compliance, Pinecone is SOC2 Type II certified and HIPAA compliant, making it an enterprise-ready solution, fully managed in major clouds such as AWS, Azure, and GCP.

📋 Description

• Design and improve deployment patterns across SaaS, BYOC, and future enterprise deployment models. • Build Kubernetes-based runtime, deployment, and validation capabilities. • Define safe upgrade, rollback, and version compatibility strategies. • Improve observability, alerting, logging, and customer-visible health signals. • Build tooling for deployment validation, diagnostics, and operational readiness. • Work across Pinecone product teams to improve enterprise reliability and deployability. • Collaborate with customer-facing teams and customers on complex enterprise environments. • Improve CI/CD, release validation, and automated deployment checks. • Help define what “enterprise-ready” means for current and future Pinecone products. • Turn incidents, escalations, and deployment issues into durable engineering improvements.

🎯 Requirements

• Strong Kubernetes experience, including deployments, networking, storage, secrets, and upgrades. • Experience with at least one major cloud provider: AWS, GCP, or Azure. • Experience operating production systems with clear reliability ownership. • Experience with monitoring, alerting, logging, incident response, and operational diagnostics. • Experience designing or operating SaaS, BYOC, self-managed, or regulated enterprise environments. • Ability to debug complex systems across application, infrastructure, networking, and customer-environment boundaries. • Ability to write production-quality code in a language such as Go, Python, Java, Rust, or similar. • Understanding of CI/CD, release engineering, automated validation, and rollback strategies. • Clear communication and strong ownership across engineering and customer-facing teams.

🏖️ Benefits

• Comprehensive health coverage including medical, dental, vision, and mental health resources. • 401(k) plan. • Equity award. • Flexible time off. • Paid parental leave. • Annual company retreat. • WFH equipment stipend.