Top Reliability Engineer Jobs in NYC, NY

Own the reliability, performance, and uptime of large-scale post-training and reinforcement learning systems. Debug distributed failures across accelerators, networking, storage, schedulers, and training frameworks; build monitoring, alerting, recovery, checkpointing, and scheduling tools; improve cluster utilization and fault tolerance; support production model runs through on-call rotations and postmortems; and partner closely with research teams during active training runs.

Owns end-to-end reliability for Tinker, including CI/CD, observability, service-level objectives, incident response, multi-tenant isolation, resource scheduling, and vulnerability remediation. The role designs monitoring for distributed training systems, improves recovery and checkpointing, and operates Kubernetes clusters supporting heterogeneous GPU workloads. It collaborates closely with platform, security, engineering, and research teams to improve production resilience and utilization.

Maintain and support platform environments across the software development lifecycle. Configure monitoring, alerting, and self-healing solutions; troubleshoot application and infrastructure issues with developers and testers; maintain technical documentation; design scalable architectural solutions; and mentor junior engineers. The role requires cloud, Kubernetes, operating system, database, scripting, configuration management, .NET, and AI/ML automation expertise.

Architect, develop, test, and distribute software, services, and infrastructure supporting Akamai’s cloud hypervisor platforms. Improve observability, automate infrastructure processes, troubleshoot complex distributed-system issues, mentor engineers, and participate in on-call service restoration. The role requires deep Linux, kernel, virtualization, ARM hardware, large-scale infrastructure, DevOps, and configuration-management expertise.

Architect, build, and support reliable network infrastructure and automation for Akamai’s distributed cloud platform. Develop Bash and Python tooling, establish deployment standards, define SLOs, mentor engineers, and troubleshoot complex network issues. The role requires expertise in large-scale distributed systems, TCP/IP, BGP, Linux networking, configuration management, CI/CD, and open-source networking software, with participation in on-call rotations.

Own reliability, performance, scalability, and operational standards across on-premises, private-cloud, and AWS environments. Build infrastructure-as-code, deployment automation, monitoring, alerting, and observability tooling; define SLOs, SLIs, error budgets, and readiness standards. Lead incident response, root-cause analysis, disaster-recovery readiness, release coordination, and preventive automation. Mentor engineers, coach teams on operational practices, coordinate on-call coverage, and ensure infrastructure meets security and compliance requirements.

Design, automate, and maintain scalable infrastructure and SRE tooling. Manage Kubernetes clusters, CI/CD, monitoring, and incident response. Improve processes, reduce toil via automation, and collaborate with engineering and data teams to support domestic and international workloads.

The Senior Site Reliability Engineer improves production reliability, resilience, and system availability. Responsibilities include operating Linux and Kubernetes infrastructure, automating workflows, developing tools, managing observability, responding to incidents, participating in on-call rotations, writing runbooks, and conducting blameless postmortems. The role collaborates with distributed teams and stakeholders, supports cloud infrastructure, troubleshoots live systems, and promotes DevOps and SRE best practices.

Lead SRE to provide technical leadership for a multi-cloud, multi-region active-active content platform. Define automation and IaC strategy, design core platform and logging/observability systems, establish capacity and performance frameworks, lead cross-team reliability initiatives, improve on-call and incident response, mentor engineers, and proactively address systemic reliability and scaling challenges.

Owns reliability, observability, performance, and security for a multi-region SaaS platform. Responsibilities include managing Datadog, implementing APM and tracing, defining SLOs, developing automation, expanding infrastructure as code and CI/CD, automating operational workflows, maintaining security controls, participating in incident response, documenting procedures, and mentoring engineers.

Develop kernel-centric reliability solutions for AI compute clusters and production services. Responsibilities include debugging failures, building diagnostic tools, supporting incident response, performing root-cause analysis, improving kernel and software reliability, and collaborating with systems, hardware, ASIC, and architecture teams on reliability-focused designs.

Support operational deployments and maintenance for Core Speech production systems. Implement and maintain monitoring, alerting, performance reporting, and capacity planning. Participate in on-call rotation for off-hours reliability support. Drive improvements to system performance and architecture, and collaborate on projects while complying with corporate and quality standards.

Maintain and improve multi-cloud Kubernetes infrastructure, CI/CD (Argo Workflows/ArgoCD), observability, and networking. Build reliable continuous deployment tooling and onboarding flows, provide internal support, collaborate across Platform Engineering, contribute upstream (open-source/operators), and participate in a 24/7 on-call rotation to resolve deployment infrastructure issues.

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.

Lead reliability strategy across eight engineering groups by defining SLIs, SLOs, and error budgets; strengthening incident response, alerting, postmortems, change safety, and failure testing; and coaching teams to own reliability. The role remains hands-on through production investigations, tooling, dashboards, and reference implementations. It also leads AI adoption in incident management and observability while partnering with architecture, platform, and product teams to improve distributed-system resilience.

Designs, operates, and improves Duolingo’s large-scale distributed systems and core infrastructure. Responsibilities include diagnosing production issues, developing platforms and automation, conducting launch reviews and root cause analyses, maintaining incident response and postmortem practices, and improving reliability, scalability, and engineering velocity. The role partners with product and platform engineering teams to reduce operational toil and ensure high-quality service delivery.

Own production safeguards infrastructure for Claude model launches and safety classifier deployments. Configure and verify safeguards across first-party, AWS Bedrock, and GCP Vertex platforms; lead canary rollouts, post-deployment validation, incident response, and rollback decisions. Build automation, continuous validation, repeatable deployment pipelines, and a provenance registry to reduce operational toil and configuration drift. Participate in on-call rotations and launch readiness processes.

Own reliability, performance, and scalability of Postgres and ClickHouse databases. Build scalable data pipelines, design analytical schemas and DBT models, migrate data to ClickHouse, implement data quality checks, eliminate duplicates, and manage database infrastructure via IaC.

As a Senior DevOps / Platform Reliability Engineer, you will manage CI/CD pipelines, automate infrastructure, operate Kubernetes, and enhance observability while ensuring security and compliance for enterprise systems.

Own reliability for named customer workloads; debug distributed systems across hardware, fabric, and scheduler; run customer-facing incident communications; convert recurring customer pain into engineering fixes; support large-scale compute customers and push internal teams to resolve root causes.

Lead hands-on SRE/DevOps practitioner who drives safe, automated deployments and CI/CD best practices. Wrap applications with test suites, containerize, upgrade runtimes and dependencies, improve code review and security practices, implement observability, automate deployments (Ansible, Liquibase), and enable resilient cross-datacenter topologies.

Operate and maintain AWS-hosted MERN applications and large-scale data workflows. Manage serverless and Spark-based pipelines, perform incident response and on-call duties, engineer automation to eliminate operational toil, ensure HIPAA/SOC2/HITRUST compliance, build observability and lead blameless post-mortems.

Senior SRE owning availability, automation, and observability for CI/CD platform services. Build and operate infrastructure, run on-call, lead incident response, mentor engineers, drive design/capacity planning, integrate AI-assisted workflows, and improve cross-team reliability.

Perform RAM and FMECA/FMEA analyses, develop fault trees and reliability predictions, support maintainability and logistics analyses, produce reliability growth test plans, contribute to systems engineering documentation, advise design engineers on R&M shortfalls, and present results to management and clients.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.