Top Reliability Engineer Jobs in NYC, NY

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.

As a Forward Deployed Reliability Engineer, you ensure stability of workflows, resolve issues swiftly, automate tasks, and drive product improvements through collaboration and documentation.

As a Product Reliability Engineer, you'll ensure service health and performance, tackle outages, and enhance code stability while improving observability and resilience in complex systems.

Define and scale reliability practices across the company by creating SLO/SLA frameworks, improving observability, evolving incident response, building self-service tooling and scorecards, and driving cross-team adoption to enable teams to build and operate reliable production systems at scale.

As a Site Reliability Engineer, you'll design and improve critical production systems, lead incident response, and enhance observability while embedding with product teams to ensure reliability and performance at scale.

The Site Reliability Engineer designs and builds infrastructure for a global cloud service, implements automation, and optimizes system performance while managing on-call operations.

Design, build, and operate reliable infrastructure and observability tooling across the stack. Own IaC, incident response, monitoring, cost optimization, and production systems. Mentor engineers, participate in on-call rotations, run postmortems, and drive reliability and operational excellence for a high-volume platform.

Responsible for maintaining FedRAMP-compliant infrastructure, collaborating with software engineers, and ensuring system availability and security. Duties include infrastructure design, automation, monitoring, and incident response.

Lead SRE for Sales Execution platforms responsible for stability, availability, resiliency, incident leadership, RCA, and operational maturity. Partner with Front Office, Product, Development, and Infrastructure to drive SRE adoption, observability, automation, and AI-assisted reliability workflows while mentoring engineers and owning outcomes for business-critical services.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

As a Staff Site Reliability Engineer, you'll oversee Zscaler production data center services, optimize code, and ensure cloud service availability and performance. Collaborate with cross-functional teams to improve processes and resolve escalated issues.

As a Senior Site Reliability Engineer, you'll operate foundational platform services, enhance reliability standards, automate processes, and work with engineering teams to improve systems.

The Staff Site Reliability Engineer will architect reliability strategies, manage observability, and drive operational excellence across teams, particularly in large-scale production systems.

The Site Reliability Engineer will provide support and diagnose issues within a real-time, distributed environment, focusing on large-scale application and infrastructure management, with basic required skills in UNIX/Linux, networking, SQL, and scripting languages.

Design, build, and maintain highly reliable, observable production services. Automate operations, performance-tune cloud deployments, own incident response/on-call, mentor engineers, and improve system reliability and scalability.

As a Senior SRE, you'll ensure reliable and scalable systems, develop observability solutions and infrastructure as code, and lead incident response efforts.

Own reliability across cloud, edge, and on-site deployments. Build observability, monitoring, and alerting. Define incident response and on-call processes, improve deployment workflows, diagnose infra/network/distributed-system issues, and make deployments repeatable and scalable.

Own reliability of distributed systems across cloud (Kubernetes), edge, and on-site deployments. Build observability, monitoring, alerting, and incident response processes. Improve deployment workflows, diagnose infra/networking/distributed issues, and partner with engineering to prevent recurrence and scale repeatable deployments in imperfect real-world environments.

The role involves designing, optimizing, and maintaining PostgreSQL and MySQL databases, ensuring high availability, reliability, and performance for mission-critical systems, while automating operational tasks and responding to incidents.

Develop and maintain Kubernetes runtime environments, support developers, resolve critical issues, and participate in on-call rotations for production systems.

Operate and maintain AWS infrastructure and CI/CD pipelines, deploy containerized applications, write Terraform IaC, implement monitoring/observability, troubleshoot incidents, resolve security vulnerabilities, participate in on-call rotation, and produce operational/runbook documentation to ensure resilient cloud platform delivery.

Oversee operational support of SAP BTP CPI applications, manage incidents, lead support specialists, and collaborate on architecture and governance for finance processes.

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.

Lead SRE responsible for non-functional requirements, reliability, resiliency, security, monitoring, automation, and SRE adoption. Partner with engineering and stakeholders, run blameless post-incident reviews, coach engineers, scale SRE practices, and integrate enterprise AI into incident triage and operational workflows while ensuring guardrails and data sensitivity controls.

Operate and improve production reliability for critical services by building automation, monitoring, and runbooks. Triage incidents, reduce MTTR, improve observability, partner with engineering for root-cause fixes, and apply validated enterprise AI-assisted tools to support SRE workflows and reduce toil.