Top Senior Site Reliability Engineer Jobs in NYC, NY

Design and maintain developer experience tooling and CI/CD pipelines, manage self-service deployment tools (secrets, rollbacks), partner with cloud teams to troubleshoot production systems, participate in on-call rotation, and write production-grade automation and tests in Go and TypeScript to improve developer velocity and reliability.

Assist with monitoring system performance, uptime, and reliability; support incident response, troubleshooting, and root cause analysis; monitor SRE alerts in Slack and report issues; learn cloud platforms; and collaborate with development and DevOps teams.

Lead SRE efforts for DFIN SaaS: ensure availability, performance, scalability, and automation. Implement monitoring, CI/CD, IaC, container orchestration, AI-enhanced observability, incident response, RCA, and runbook automation while collaborating across engineering teams.

As a Senior Staff Site Reliability Engineer, you will lead the SRE team, advocate best practices, ensure resilience in cloud architecture, and mentor team members.

Deploy and operate scalable, highly available cloud systems; improve application and network security, reliability, speed, and capacity; automate cloud deployments; monitor and troubleshoot services to meet SLAs; analyze logs and events; and resolve infrastructure issues across large-scale cloud infrastructure.

Lead architecture and implementation of reliability platforms and SRE practices for a production SaaS. Build self-service reliability tooling, drive AIOps automation, advance observability (monitoring, tracing, profiling), lead incident response and postmortems, mentor engineers, and embed production readiness across teams to achieve 99.99% uptime.

Own and improve production infrastructure reliability, deployments, Infrastructure-as-Code, Kubernetes environments, automation, CI/CD, monitoring, alerting, and observability. Investigate incidents, optimize system performance, maintain documentation and runbooks, and support DNS, WAF, CDN, and caching infrastructure. The role requires strong Linux administration, Bash scripting, networking, Git, and containerization skills, with independent ownership and collaboration across development and operations teams.

Design and implement scalable cloud infrastructure, monitor performance, automate processes, ensure security and compliance, and lead a DevOps team.

The Site Reliability Engineer will ensure reliable cloud operations by applying Python for infrastructure automation, managing OpenStack and Kubernetes, and practicing devsecops in a fast-paced environment.

As a Site Reliability Engineer II, you'll automate tasks, monitor AI workloads, enhance dashboards, support CI/CD processes, and collaborate with engineering teams on complex issues while participating in on-call rotations.

Lead reliability practices across teams: embed early in projects, define SLIs/SLOs, build multi-cloud paved roads with Terraform, run on-call, drive org-wide incident maturity and tooling.

Build, operate, and scale production Kubernetes infrastructure using GitOps and declarative IaC. Design CI/CD workflows, observability, and secure-by-default systems. Troubleshoot networking/storage, participate in on-call rotations, automate operational workflows, and drive postmortems and reliability improvements.

Build and run AI-native GTM systems: design and execute outbound experiments, build ICP scoring and intent pipelines, maintain prospecting/enrichment stack and CRM automations, extend LLM/agent workflows, and deliver dashboards tying activity to ARR.

As an AI Support Engineer, you'll manage support requests, resolve user issues, optimize ML models, and contribute to product development.

Lead adoption of SRE practices to improve reliability, observability, automation, and incident response. Implement and maintain observability tooling, instrumentation, CI/CD, and infrastructure-as-code. Partner with developers, participate in on-call rotations, drive postmortems, and reduce operational overhead through automation.

Own reliability and security of CI/CD and production services: define SLI/SLOs, lead incident response and postmortems, build observability (Datadog), operate Kubernetes and IaC (Terraform), harden pipelines with SAST/DAST/SCA and policy-as-code, and coach teams on reliability and operational best practices.

Leads SRE engineering leaders and engineers while defining enterprise observability, reliability, and platform strategy across GCP, on-premise, manufacturing, distribution, and campus environments. Oversees vendor-agnostic tooling, OpenTelemetry integrations, CI/CD observability, SRE maturity models, and Agentic AI initiatives. Drives adoption of SRE practices, develops technical roadmaps, partners with senior leadership and operational teams, and maintains hands-on architectural and technical credibility.

Lead deployment and runtime operations for ML safety systems: configure and verify safeguards across platforms, run canary rollouts and validations, automate launch runbooks into pipelines, maintain a provenance-backed safeguards registry, and participate in on-call and incident response for safety-critical model releases.

Own reliability, security, and continuity of Medgen production environments. Manage Windows and Linux servers, HA configurations, backups, DR, deployments, and CI/CD automation. Coordinate vulnerability assessments, incident response, cloud/hybrid evaluations, and infrastructure modernization.

Own reliability, security, and continuity of Labgen production: manage Windows/Linux servers, HA, networking, backups/DR, production deployments, CI/CD, monitoring, cloud evaluation, incident response, vendor relations, and compliance.

Design, build, and maintain highly available cloud-native systems. Improve reliability through automation, CI/CD, Kubernetes, observability, and incident management. Collaborate with developers, security, and product teams to define SLOs, implement self-healing, debug production issues, and ensure secure deployments.

Design, develop, test, and operate scalable infrastructure and services for Akamai Cloud. Implement and manage Infrastructure-as-Code (Terraform and similar tools), CI/CD, and observability. Automate reliability improvements, mentor engineers, collaborate on incident response and root-cause remediation, and participate in on-call rotations.

Build and operate Nebius's network infrastructure: define SLIs/SLOs, improve site and inter-site reliability, lead incident response and postmortems, develop observability and alerting, automate change workflows, and collaborate with network and platform teams to embed operability.

Designs and maintains AWS cloud infrastructure, CI/CD pipelines, Docker workloads, and IaC provisioning. Implements monitoring, logging, alerting, observability, security hardening, and code quality checks. Troubleshoots production issues, supports incident response and root-cause analysis, improves system reliability, and automates operational tasks. Collaborates with distributed engineering teams to establish infrastructure, deployment, monitoring, and SRE best practices.

The Director of Splunk Platform Engineering & SRE owns the enterprise Splunk platform, drives incident resolution, optimizes systems, and mentors engineers, focusing on automation and performance.