Top DevOps Engineer Jobs in NYC, NY

Build and manage cloud infrastructure for customers using the DuploCloud platform. Responsibilities include containerizing applications, deploying Kubernetes or ECS environments, implementing logging, monitoring, alerting, cloud security, and compliance controls, and supporting SOC 2, PCI, HIPAA, GDPR, and HITRUST audits. The role involves customer onboarding, infrastructure transformation, troubleshooting, technical guidance, direct customer communication, and rotating weekend and holiday on-call coverage.

Designs and manages AWS cloud infrastructure and Amazon EKS platforms using GitLab CI/CD and Infrastructure as Code. Builds ETL workflows and scalable data pipelines for analytics and AI workloads, supports MLOps/AIOps and FinOps capabilities, troubleshoots Linux systems, and improves platform performance, security, scalability, and availability.

Design, implement, and operate secure, automated cloud infrastructure and CI/CD pipelines. Build IaC with Terraform, manage AWS services and EKS, containerize apps with Docker/Kubernetes, and integrate observability tools. Automate operations with scripting and embed DevSecOps practices to improve reliability and accelerate deployments.

Maintain, scale, and improve SaaS production platforms with a focus on automation, observability, disaster recovery, and 99.999% availability. Lead incident response, perform root cause analysis, optimize performance, and collaborate with engineering teams to implement durable operational improvements.

Design, build, and maintain secure, scalable GCP infrastructure. Manage GKE Kubernetes clusters, GitOps workflows with FluxCD, Terraform infrastructure, Helm deployments, CI/CD processes, and observability using Elasticsearch and Grafana. Support Cloud Composer workflows, troubleshoot infrastructure and application issues, and collaborate with development teams to improve automation, reliability, and security.

Build and maintain automated infrastructure and CI/CD pipelines using Terraform, Docker, Traefik, and Makefile. Implement observability (Prometheus, Grafana, Loki, Tempo, OpenTelemetry), backups (pgBackRest/Postgres15), and cloud/Linux administration. Automate deployment and monitoring for AI agent services and support monorepo workflow with SRE and DevSecOps teams.

Build and operate scalable AWS infrastructure and internal tooling for document ingestion, AI data pipelines, observability, and deployment workflows. Shape technical strategy, collaborate with enterprise clients, establish security and reliability standards, and mentor team members. The role requires hands-on ownership of cloud infrastructure, CI/CD, databases, queues, caches, logging, observability, and developer efficiency tooling in a fast-paced B2B SaaS environment.

Own the DevOps strategy, cloud infrastructure, platform engineering, CI/CD, GitOps, observability, reliability, security, and cost optimization across client engagements. Lead architecture and automation across AWS, Azure, and GCP; establish infrastructure and delivery standards; manage incident response and SLOs; advise clients; mentor engineers; support hiring; and drive continuous improvement using DORA metrics.

Design and evaluate cloud infrastructure, Kubernetes, IaC, AWS, and CI/CD solutions for GenAI training and inference environments. Create technical scenarios, reference solutions, evaluation rubrics, and feedback for AI-generated infrastructure outputs. Troubleshoot production Kubernetes and distributed-system failures while applying cloud architecture, security, reliability, observability, and operational best practices.

The AI DevOps Engineer will design, deploy, and manage scalable AI infrastructure, focusing on automation, security, and high performance while ensuring compliance within financial services.

Lead architecture, implementation, and optimization of Azure cloud infrastructure across multiple subscriptions. Build IaC standards and automation, mentor engineers, support mission-critical applications, improve deployment speed and cost control, monitor system health, participate in on-call rotation, and collaborate with cross-functional teams to deploy scalable, secure, production-grade systems.

Build, operate, and improve cloud infrastructure for FedRAMP-authorized environments, including AWS GovCloud, Kubernetes, Terraform, Ansible, CI/CD, observability, and security automation. Investigate production incidents, remediate vulnerabilities, support compliance and audits, and improve reliability, scalability, and monitoring. Collaborate with engineering, security, compliance, and international teams while making independent architectural and operational decisions.

Architect and improve AWS infrastructure, build and maintain Kubernetes platforms, automate provisioning with infrastructure as code, and support CI/CD delivery. The role improves security, reliability, scalability, performance, and quality while helping development teams apply DevOps practices. Responsibilities include application and environment configuration, production support, and participation in an on-call rotation.

Architect and improve AWS infrastructure, build and automate Kubernetes platforms, develop IaC and CI/CD pipelines, and support production deployments. The role focuses on system security, reliability, scalability, performance, and configuration while enabling engineering teams with DevOps best practices. Responsibilities include production on-call support, application and environment configuration, and infrastructure support for product development projects.

As a DevOps Engineer, you will enhance Knock's platform by modernizing infrastructure, optimizing performance, and supporting product engineering. Responsibilities include managing Kubernetes, troubleshooting databases, ensuring uptime, and improving developer experience, while collaborating with the remote team and documenting processes.

The Lead DevOps Engineer will architect and deploy cloud infrastructure, automate workflows, mentor teams, and communicate technical concepts to clients and stakeholders.

Designs and maintains scalable cloud and hybrid infrastructure, CI/CD pipelines, containerized environments, monitoring systems, security automation, databases, application configurations, secrets, and certificates. Provides technical leadership and mentoring while partnering with engineering, security, and product teams. Prototypes and deploys AI models, MCP servers, and proofs of concept. May work overtime or varied shifts in a 24/7 operation.

Own and maintain native C++ build systems for autonomous aircraft. Improve developer velocity by reducing build/test cycle time, integrate CI with HIL and simulation, implement monitoring and alerts, troubleshoot build/test failures, and collaborate with engineers to design and deploy DevEx/DevOps solutions.

Build and maintain Terraform infrastructure across AWS and Azure, create GitHub Actions CI/CD workflows, script automation (Python/Bash), manage releases across SDLC environments, collaborate with security to harden cloud services, and support AI development teams with provisioning, networking, disaster recovery, and operational tooling. Hybrid role with occasional client travel.

Leads DevOps and application operations for critical enterprise applications. Responsibilities include production reliability, SLO and SLA management, incident response, release and deployment operations, observability, automation, capacity planning, disaster recovery, security compliance, performance optimization, stakeholder service reviews, and mentoring AppOps engineers. The role supports 24x7 reliability through on-call participation and cross-functional collaboration with engineering, cloud, security, and compliance teams.

Seeking a Lead DevOps Engineer for deploying health IT solutions on AWS, with expertise in CI/CD, Terraform, and Windows environments. Must have experience leading teams and managing DevOps practices.

The DevOps Engineer will architect and maintain AWS infrastructure, manage Kubernetes orchestration, implement CI/CD practices, and support AI/ML deployment, ensuring operational reliability and scalability.

Design and operate a multi-region Azure application platform supporting AKS, serverless, messaging, APIs, and global routing. Build standardized Azure DevOps CI/CD pipelines, GitOps workflows, Terraform infrastructure, configuration strategies, and zero-downtime deployments. Improve reliability through observability, failover planning, incident analysis, and alerting. Enable development teams with self-service templates, documentation, and cloud-native guidance while optimizing performance, scalability, and cloud costs.

Designs and maintains scalable AWS infrastructure, Kubernetes environments, Terraform-based Infrastructure as Code, and CI/CD pipelines. The role integrates MLOps and DevSecOps practices, automates deployment and administration workflows, monitors system performance, supports incident response, and improves platform reliability, security, availability, and cost efficiency. Collaboration with software developers, platform teams, and cross-functional stakeholders is central to the position.

Lead and build scalable, secure infrastructure for a SaaS AI product. Contribute to data pipelines, telemetry, and AI agent deployment; shape tech strategy; mentor teammates; and collaborate with customers and product teams to deliver robust production systems.