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.

Own the durability, recoverability, performance, and security of a production PostgreSQL/RDS fleet supporting a live trading platform. Lead replication, failover, backup and restore, disaster-recovery drills, data lifecycle management, access control, encryption, and database observability. Investigate engine-level performance issues including WAL contention, replica lag, bloat, and locking. Build infrastructure and AI-assisted operational tooling while documenting runbooks and reliability decisions.

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.

The Senior Site Reliability Engineer ensures SaaS platforms remain reliable, performant, secure, and scalable. Responsibilities include building cloud infrastructure, implementing monitoring and alerting, automating operational runbooks and deployments, managing Infrastructure as Code, applying AI-powered observability and remediation, supporting Kubernetes and cloud networking, and leading incident triage and root-cause analysis during 24/7 on-call rotations.

Develop, monitor, and maintain distributed production systems and AWS-based microservices infrastructure. Build automation, tooling, and repeatable processes that improve uptime, scalability, security, and operational efficiency. Support product engineering teams with performance, scaling, incident diagnosis, and production debugging. Analyze and tune systems, code, and networking while participating in on-call operations and blameless post-mortems.

Own reliability, scalability, security, observability, and incident response for production applications across AWS and on-premises DoD environments. Build monitoring and alerting, define SLIs and SLOs, lead post-incident reviews, automate infrastructure with Terraform and Ansible, operate Kubernetes clusters, embed RMF and STIG controls, reduce operational toil, and support secure air-gapped deployments.

Manage AWS and GCP cloud environments, scale infrastructure globally, shape technical architecture, and build reliable CI/CD pipelines. Automate security and compliance controls, improve infrastructure performance, and develop systems interacting with smart contracts across multiple blockchains. The role requires Terraform, shell scripting, GitHub Actions, Docker, production cloud operations, and observability experience, with Kubernetes, networking, and fintech compliance knowledge preferred.

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.

Own the enterprise observability strategy and governance, defining SLIs, SLOs, error budgets, KPIs, reliability standards, and monitoring practices. Architect telemetry, tracing, logging, metrics, synthetics, APM, and RUM solutions across complex platforms. Advise engineering, SRE, infrastructure, product, and operations leaders; develop executive service-health reporting; analyze incidents and alerts to improve reliability, detection, and resiliency. Provide technical leadership, mentorship, and standards governance for enterprise observability engineering.

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.

Leads Forge’s Site Reliability Engineering team and drives system availability, incident management, observability, disaster recovery, automation, and production support. Partners with Platform, Engineering, Security, Compliance, Risk, and Product teams to improve reliability and operational maturity in a regulated environment. The role combines hands-on technical leadership with hiring, coaching, performance management, architecture contributions, troubleshooting, and development of secure, scalable infrastructure.

Leads cloud platform engineering and site reliability initiatives across AWS, GCP, and Azure. Designs reusable Terraform infrastructure, governed platform patterns, CI/CD integrations, and full-stack solutions for applications, data platforms, and AI services. Establishes SRE practices including SLOs, SLIs, error budgets, observability, incident response, and cost optimization. Partners with application, security, architecture, and business teams; mentors engineers, facilitates technical reviews, resolves operational issues, and drives standardization and process improvement.

Leads a cloud SRE shared-services organization supporting AWS application platforms. Responsibilities include managing and mentoring engineers, modernizing infrastructure, governing Terraform modules and AWS patterns, building self-service provisioning and Harness CI/CD automation, establishing SLOs and error budgets, resolving critical incidents, implementing observability, improving resiliency, and planning disaster recovery. The leader also drives GenAI adoption, stakeholder alignment, security, governance, cost optimization, and engineering best practices across technology teams.

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

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.

Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.

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.

Own the reliability, performance, resilience, observability, and security of AWS and Kubernetes infrastructure supporting products and AI/ML workloads. Define SLOs, lead incident response and root-cause analysis, build Terraform automation, optimize cloud costs, reduce operational toil, and establish deployment standards that help engineers ship reliably. Participate in on-call rotations and maintain HIPAA-compliant infrastructure.

Lead architecture and implementation of reliability improvements across CrowdStrike's cloud-native platform. Build shared libraries and services, drive observability and SLO practices, perform performance and cost optimization, run resilience engineering and chaos experiments, automate infrastructure-as-code, mentor engineers, and embed with product teams to deliver scalable, highly reliable distributed systems at organizational scale.

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.

Leads observability engineering for critical customer journeys and production applications. Defines and governs SLIs, SLOs, error budgets, dashboards, alerts, synthetic monitoring, telemetry standards, and service health reporting. Partners with product, engineering, SRE, and operations teams to ensure production readiness, analyze incidents and telemetry, reduce alert fatigue, improve detection accuracy, and drive reliability improvements. Provides technical leadership and mentorship on monitoring, logging, tracing, metrics, and observability best practices.

Owns reliability analysis for mission-critical electrical systems in data centers. Develops electrical BIA and FMEA packages, defines monitoring and maintenance strategies, validates one-line diagrams and redundancy assumptions, and recommends testing, spare-parts, redesign, and risk-reduction actions. Supports root-cause analyses, commissioning, vendor reviews, workshops, and design changes while communicating technical risks and tracking reliability improvements. Requires travel of 25% to 40% and occasional maintenance-window support.

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

Lead Site Reliability Engineering initiatives for critical, large-scale financial platforms. Responsibilities include defining SLOs, SLIs, and error budgets; designing resilient distributed systems; developing automation and self-service tooling; improving production readiness through testing and capacity planning; leading complex incident response and blameless post-mortems; and promoting sustainable on-call practices across engineering teams.