Top Senior Site Reliability Engineer Jobs in NYC, NY

Principal Site Reliability Engineer responsible for the availability, scalability, durability, and operational reliability of production systems. The role leads observability, incident response, SLO and error-budget practices, automation, infrastructure as code, and long-term service improvements. Responsibilities include designing monitoring and alerting frameworks, supporting Kubernetes and distributed storage environments, improving operational processes, collaborating across engineering and business teams, and mentoring reliability-focused practices. The position requires extensive experience with Linux, cloud infrastructure, containers, scripting, storage systems, and large-scale production environments.

Own production health for Cellebrite’s cloud platform through incident response, monitoring and observability improvements, rolling upgrades, change management, and on-call support. Investigate production issues, coordinate incident response, improve alerting and runbooks, collaborate with support and R&D teams, and apply AI/ML tools to anomaly detection and incident triage.

Embed with service teams to define SLIs/SLOs and error budgets, run Operational Readiness Reviews, improve incident-to-improvement pipelines, advise on resilience and architecture, reduce operational toil through automation, and shape org-wide on-call practices and operational maturity.

Manage and improve CI/CD pipelines, containerized deployments, AWS infrastructure, Terraform resources, monitoring, and incident response for the SportsRecruits platform. Troubleshoot application, database, and distributed-system performance issues; maintain development and QA environments; collaborate with engineering, QA, product, and security teams; and implement automation, observability, scalability, and AI-assisted monitoring improvements.

Own technical customer implementations and adoption programs for Harness AppSec solutions. Provide hands-on architecture, consulting, onboarding, optimization, and value-realization guidance across cloud, DevOps, security, and infrastructure environments. Analyze usage and adoption data, identify risks and opportunities, conduct business reviews, develop success plans, advise customer leadership, provide product feedback, and collaborate with sales, product, and engineering teams. Build reference architectures, best-practice guides, and customer enablement resources.

Own and scale Drivetrain’s multi-cloud AWS and GCP infrastructure, Kubernetes platforms, CI/CD pipelines, Terraform modules, automation, observability, and security practices. Drive reliability engineering through capacity planning, incident response, postmortems, and SLI/SLO/SLA management. Partner with development teams to improve application deployability, scalability, resilience, and operational efficiency across the SaaS platform.

Lead observability and incident management efforts: define SLIs/SLOs, build monitoring/alerting, dashboards, logging, and tracing. Drive incident response, postmortems, and reliability improvements to reduce MTTD/MTTR. Integrate observability into CI/CD, maintain AWS and Kubernetes infrastructure, automate operations, and mentor engineers on SRE best practices.

Own reliability and operations for a multi-tenant AI agent platform running on AWS. Define SLOs, observability, alerting, disaster recovery, model-provider resilience, tenant isolation, security guardrails, safe deployments, and cost controls. Manage infrastructure through Terraform and Spacelift, lead incident response and game days, improve PostgreSQL resilience, and establish standard deployment practices for product teams. Partner with Security and Privacy on AI risk controls and regional data residency.

Supports system reliability, scalability, and observability through monitoring, logging, metrics, tracing, alerting, infrastructure as code, automation, production support, incident response, and post-incident improvements. The role collaborates with development and operations teams and uses tools including Prometheus, Grafana, ELK, Terraform, AWS, Docker, and Kubernetes.

Design, operate, and improve secure production infrastructure across cloud and Kubernetes environments. Manage compute, storage, networking, deployment pipelines, infrastructure as code, and automation while optimizing reliability, performance, availability, and cost. Lead incident response, postmortems, root-cause analysis, and reliability initiatives. Mentor engineers and establish infrastructure engineering standards. Requires strong Python and software engineering skills, substantial reliability or infrastructure experience, and team-building or founding SRE experience.

Own end-to-end reliability for an enterprise application by defining SLOs, building observability and alerting, shipping resilient Python and Rust code, operating EKS and AWS infrastructure, maintaining CI/CD and infrastructure-as-code, leading incident response, and driving security, compliance, load testing, capacity planning, and chaos engineering. Mentor engineers and support progressive delivery in regulated national-security environments.

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.

Lead AWS-based SRE activities for products migrated from on-prem: ensure reliability, observability, automation, CI/CD (GitOps), Kubernetes/EKS operations, Terraform IAC, database/RDS administration, networking and security, and collaborate with development and platform teams to optimize SaaS operations.

Own platform uptime, SLAs, SLOs, observability, high-availability deployments, containerization, and CI/CD. Optimize Python applications, troubleshoot production systems to the OS level, lead incident response and post-incident reviews, and establish reliability practices across engineering. The role also involves on-call support, performance profiling, capacity planning, and independently delivering reliability projects.

Own the operational health, observability, reliability, and failover of AI model providers and endpoints. Build SLO monitoring, canaries, quality regression detection, automated provider-operations tooling, and load-testing systems. Lead incident response, communicate with external providers, produce reliability scorecards, and drive postmortems and corrective actions. Support capacity planning and launch readiness for high-volume LLM inference traffic.

Own global product deployments, production environments, reliability monitoring, alerting, CI/CD tooling, Terraform infrastructure, and first-line operational support. Diagnose and resolve product issues, optimize Kubernetes performance and costs, enhance documentation, establish SRE practices, secure cloud systems, and mentor engineers across distributed international teams.

Own production reliability and infrastructure operations for the GrayKey cloud platform. Responsibilities include AWS monitoring, incident response, vulnerability remediation, networking, IAM and Okta administration, EKS and Argo CD operations, backups, recovery testing, Terraform changes, cost optimization, automation, documentation, and compliance support. The role requires independent work during Pacific and Mountain time-zone hours and involves less than 5% travel.

Build and maintain global infrastructure systems, monitoring and observability tooling, real-time packet and flow analysis, configuration automation, and resilient deployment platforms. The role combines systems engineering and software development, requiring deep debugging of complex software stacks, streaming architecture expertise, CI/CD and Kubernetes experience, and a strong focus on reliability, efficiency, and operational excellence.

Build and operate reliable AWS infrastructure, Kubernetes clusters, Terraform automation, CI/CD pipelines, monitoring, and alerting. Design multi-region resilience, backups, disaster recovery, and failover strategies. Improve deployment practices, support on-call rotations, lead incident response, and perform root-cause analysis while collaborating with product engineering teams.

The Linux Systems Administrator will maintain and troubleshoot Linux systems, support network services, and work on systems integration while collaborating with infrastructure teams.

Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.

Build and operate reliable, scalable production infrastructure for GitLab’s user-facing services. Responsibilities include developing infrastructure automation and tooling, managing Kubernetes deployments, maintaining infrastructure as code, supporting CI/CD and GitOps, participating in on-call and incident response, improving observability and SLOs, troubleshooting production systems, and documenting operational practices. The role spans Intermediate through Senior Staff levels and requires strong software engineering, cloud, reliability, and asynchronous collaboration skills.

Design, implement, and operate infrastructure for high-scale production systems serving millions of users. Own reliability, observability, incident response, deployments, capacity planning, cost management, and operational excellence across bare-metal and cloud environments. Develop automation and performance tooling, improve production readiness, manage vendors, lead incident reviews, and mentor engineers on reliability and distributed-systems practices.

Build and maintain CI/CD pipelines, manage and automate cloud infrastructure and configurations, implement monitoring/logging and alerting for reliability, enforce security and compliance practices, and collaborate with development teams to support scaling and operations.

Build and operate AWS GovCloud environments within FedRAMP boundaries, including multi-account infrastructure, guardrails, logging, security tooling, and Terraform provisioning. Develop automated fleet release, patching, verification, CI/CD, compliance evidence, telemetry, SLO, and alerting systems. Support VM and appliance fleets at scale, participate in on-call, and engineer recurring incident causes away. The role also requires compliance-as-code, continuous monitoring, and test harnesses validating operational state.