DevOps Engineer

• Build and deploy CI/CD infrastructure
• Automate CI/CD pipelines and deploy scalable infrastructure in AWS
• Implement security best practices and monitor system performance
• Collaborate with developers to align infrastructure with project goals
• Maintain documentation and develop disaster recovery plans

Senior DevOps Engineer

• Enable product squads by designing, securing, automating, and operating the software delivery platform.
• Build CI/CD, Infrastructure as Code, DevSecOps, observability, hybrid-cloud deployment, and software supply-chain security.
• Design secure CI/CD pipelines using GitHub Actions and/or Azure DevOps.
• Automate deployments for Azure, Azure Arc, and Kubernetes.
• Implement SAST, DAST, SBOMs, artifact signing, and vulnerability management.
• Develop Infrastructure as Code using Terraform, Bicep, and Helm.
• Partner with Product Engineers, Architects, and QA.

DevSecOps Platform Engineer

• Design, implement, and manage automated deployment, monitoring, and alerting solutions.
• Build and support scalable infrastructure through Infrastructure as Code (IaC) tools.
• Use Grafana and other monitoring platforms to track system reliability and performance.
• Partner with development and operations for ongoing improvements to system reliability and efficiency.
• Diagnose and resolve production issues quickly to minimize downtime.
• Create and maintain best practices and guidelines for SRE processes.
• Enhance observability by improving logging, monitoring, and alert systems.
• Participate in on-call rotations to ensure round-the-clock support for critical systems.
• Lead post-incident reviews and put preventative measures in place.
• Mentor and educate team members on SRE methodologies and technologies.

Site Reliability Engineer

• Own compute turn-up from facility availability to ready-for-service: the stretch after the network hands off and before customers run workloads.
• Qualify racks at scale: establish firmware baselines, configure BMC and BIOS, run burn-in, and validate at node and cluster level across hundreds of racks per site on GPU and custom accelerator platforms.
• Drive qualification through the base-management Kubernetes platform and provisioning stack (discovery, imaging, firmware updates, shared services), burning down qual queues with tooling rather than manual runs.
• Triage hardware failures found in qualification: isolate to component, drive RMA and vendor escalation, and feed failure patterns back into the qual gates.
• Run turn-up remotely by default, with on-site pulses of roughly a week per data hall as new halls reach facility availability, plus occasional overlapping-site weeks.
• Partner with network deployment, ICT, data center operations, and hardware teams during turn-up windows, and support incident response on freshly-live capacity.

Compute Deployment Engineer

• Designing, developing, implementing, and supporting solutions across the ServiceNow platform
• Building and supporting employee-focused digital solutions that streamline workflows
• Collaborating with Product Owners, Business Analysts, QA teams, and other IT stakeholders
• Delivering scalable, secure, and reliable solutions that improve operational efficiency
• Contributing to enterprise-wide solutions and continuously expanding ServiceNow expertise

DevOps Engineer III

• Serve as the primary technical advisor for Global Affairs partnerships, helping organizations identify and deploy high-impact AI use cases.
• Guide partners from discovery through implementation, moving beyond pilots to real-world, sustainable adoption.
• Design demonstrations, prototypes, and proof-of-concepts tailored to partner missions and operational realities.
• Translate complex technical concepts into accessible guidance for non-technical audiences.
• Support governments, nonprofits, educational institutions, workforce organizations, and small businesses adopting OpenAI products.
• Conduct workshops, office hours, and implementation sessions with external stakeholders.
• Develop educational content, deployment playbooks, best practices, and reusable resources.
• Identify opportunities to expand partner impact through additional OpenAI products and programs.
• Proactively provide guidance to Global Affairs stakeholders on how to maximize business impact from their applications, accelerating their time to value.
• Experiment and prototype solutions with and for your stakeholders.
• Forge and manage relationships with our stakeholders’ leadership to ensure their application’s successful deployment and scale.
• Represent the voice of GA stakeholders with internal teams, gathering and relaying feedback and identifying themes to incorporate into product planning.
• Use your expertise in programming with Python and Javascript.

AI Deployment Engineer, Global Affairs

• Lead and contribute to projects focused on enhancing security, system reliability, release processes, developer experiences, cost optimizations, and observability
• Collaborate with various engineering, IT, and People teams to solve security challenges in infrastructure, CI pipelines, application, endpoint security, AI workloads, and general enterprise security
• Lead and implement our infrastructure-as-code (IaC) and compliance initiatives.
• Participate in security reviews of third-party vendors and services
• Improve the overall developer experiences by refining tools, workflows, and AI usage.
• Contribute to our on-call rotation

Senior DevOps Engineer, Security

• Design and build the deployment vehicle of our cloud and AI infrastructure.
• Set the standards the rest of the team will build on.
• Grow the surrounding engineers into a capable platform team.
• Make foundational decisions — cloud architecture, IaC conventions, CI/CD, observability, on-call.
• Codify decisions to scale beyond individual contributions.
• Serve as DevOps mentor for engineers lacking deep expertise.
• Design, implement, and maintain CI/CD pipelines and self-service tooling.
• Automate infrastructure provisioning and configuration management using Terraform and Helm.
• Instrument monitoring, logging, and alerting across services and infrastructure.
• Implement security best practices across infrastructure and deployment workflows.
• Mentor engineers and run design reviews.
• Build the MLOps foundation for AppGate's AI products.
• Collaborate cross-functionally with data scientists, product teams and leadership.

Staff - Principal DevOps Engineer

• Embed automated security controls into CI/CD pipelines across build, test, and release stages, designing risk-based security gates and integrating comprehensive security testing (SAST, DAST, SCA, container scanning) to enable secure-by-default development
• Build and maintain internal DevSecOps tooling and platform extensions that scale across enterprise engineering teams, including reusable pipeline libraries, security plugins, and automation frameworks integrated into shared developer platforms
• Champion developer-first security experiences by designing "paved road" security patterns, self-service tooling, and standardized integrations that reduce friction while maintaining strong security posture
• Drive cloud-native security architecture across AWS and Azure environments, implementing security controls for Kubernetes, containerized workloads, and infrastructure-as-code using modern security frameworks
• Evaluate and integrate best-of-breed security tools aligned to application, pipeline, container, and cloud security needs, driving standardization and consolidation to reduce complexity while improving effectiveness
• Support continuous compliance and governance by translating regulatory requirements into automated engineering controls, enabling audit readiness through automated evidence collection and control mapping
• Provide technical leadership and mentorship to engineering teams as an embedded security subject matter expert, influencing design decisions and raising overall DevSecOps maturity across the organization
• Lead vulnerability management and remediation across application, pipeline, and cloud environments while participating in threat modeling and architecture reviews to ensure security is embedded at the design level.

Lead InfoSec Engineer, DevSecOps

• Design, build, and maintain scalable AWS infrastructure using Infrastructure as Code tools such as Terraform or AWS CloudFormation.
• Develop and manage CI/CD pipelines leveraging AWS services (e.g. CodePipeline, CodeBuild, CodeDeploy) and/or third-party tools.
• Operate and optimize containerized and serverless workloads using services such as EKS, ECS, Lambda, and Fargate.
• Monitor, log, and troubleshoot systems using Amazon CloudWatch, AWS X-Ray, and related observability tools to ensure high availability.
• Implement AWS security best practices, including IAM, network security (VPCs, security groups), and secrets management.
• Automate infrastructure operations, scaling, and maintenance using scripting and AWS-native automation services.
• Lead incident response and post-incident reviews, driving continuous improvements in reliability, performance, and cost optimization.
• Identify, troubleshoot, and resolve software defects to maintain application stability and performance.
• Contribute to and enhance QA automation to ensure reliable, high-quality releases.
• Support additional infrastructure, platform, and operational efforts as needed.

Software Engineer – DevOps

• Build upon our infrastructure and internal tooling foundation - designing scalable, reliable systems for high-volume document ingestion, AI-powered data pipelines, telemetry/observability, and deployment workflows
• Champion best practices and guide others
• Work with clients – From pitching customers, to designing features, to soliciting feedback

Staff Infra/DevOps Engineer

• Help customers shape their journey to adopting the cloud and provide our customers with technical and strategic guidance on their “cloud journey”
• Consult, plan, design, and implement security solutions on the cloud customers
• Design and automate security and compliance solutions
• Develop high-quality technical content such as automation tools, reference architectures, and white papers

Senior DevSecOps Cloud Consultant

• Design, implement, and manage scalable and reliable Kubernetes-based infrastructure for personalization services.
• Build and own CI/CD pipelines that ship services (and ML models) to production safely — canary, rollback, progressive delivery.
• Stand up observability and monitoring with Prometheus, New Relic, OpenTelemetry, and Grafana; define SLIs / SLOs and drive error-budget discipline.
• Ensure high availability, security, and performance of production APIs and streaming data pipelines.
• Partner with application, data, and ML engineers to integrate their workloads smoothly into the platform.
• Implement autoscaling strategies (HPA, KEDA, traffic-driven) for variable, bursty traffic patterns.
• Manage Pub/Sub and event-driven architectures for real-time messaging, engagement analytics, and inter-service communication.
• Optimize hot-path services using Redis, Memcached, and other caching strategies.
• Debug and tackle production issues around latency, scaling, and reliability.

Lead DevOps Engineer

• Own infrastructure architecture and standards — naming, tagging, resource sizing, lifecycle management, and documentation — while auditing and closing gaps across environments
• Own internal and customer-facing cloud networking (VPCs, subnets, security groups, Transit Gateway, VPN/Direct Connect) and define standards for secure inter-service connectivity
• Manage database infrastructure including clustering, failover, encryption, backups, and performance tuning, with multi-AZ high-availability strategies to meet recovery objectives
• Design and maintain high-availability and disaster recovery strategies (RTO/RPO targets, runbooks, tested recovery processes), plus build cost/FinOps reporting to drive AWS spend visibility
• Administer AWS IAM (roles, policies, least-privilege, cross-account access) and enforce infrastructure security baselines in partnership with IT Security
• Co-own Terraform HCL infrastructure with SRE, writing modular, production-grade IaC and engaging with evolving workflow tooling (Terragrunt, Spacelift, etc.)
• Manage IT-layer AWS footprint (RPA server infrastructure, VDI) and co-own GitHub administration, and partner with Full Stack engineers on AWS service selection (Lambda, Fargate, App Runner, ElastiCache)

• Deeply embedded with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our APIs.
• Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value.
• Experiment and prototype solutions with and for your customers.
• Forge and manage relationships with our customers’ leadership and stakeholders to ensure their application’s successful deployment and scale.
• Contribute to our open-source developer and enterprise resources.
• Scale the AI Deployment Engineering function through sharing knowledge, codifying best practices, and publishing cookbooks to our internal and external repositories.
• Validate, synthesize, and deliver high-signal feedback to the Product, Engineering, and Research teams.

AI Deployment Engineer

• Serve as a Lead and senior member of the team, leading initiatives and key projects
• Provide guidance and mentorship to team members, fostering a culture of collaboration and technical excellence
• Analyze, design, develop, maintain and improve software infrastructure and platform to expand its capabilities
• Measure, report and drive improvements on scalability, performance, and availability
• Lead complex projects and efforts to improve our ability to respond to impaired production systems
• Lead, plan, and execute large scale system changes to meet business objectives
• Tackle ambiguous engineering problems by designing well architected solutions
• Participate in cross-team initiatives to drive engineering best-practices
• Collaborate with the CTO and other technical leaders to set the vision for strategic development efforts
• Work with various engineering teams to bridge gaps and lead initiatives across backend systems and our data platform
• Proactively identify systemic inefficiencies, design and implement improvements
• Become a trusted coach and mentor, actively building strong technical leaders
• Collaborate with the InfoSec team to drive compliance, observability and automation for the security of our platform
• Work closely with the Security team to address gaps and vulnerabilities during audits to satisfy compliance requirements
• Manage and coordinate security vulnerabilities and upgrade schedules for EOL (End of Life) software
• Lead or assist in security investigations as needed

Infrastructure Engineer – SRE

• Leading the integration of development, operations, and security practices to enhance software delivery
• Managing the design and implementation of secure IT systems to support business operations and minimize downtime
• Overseeing the deployment and configuration of cloud infrastructure using tools like AWS CloudFormation and Azure DevOps Server
• Coordinating continuous integration and deployment processes to streamline software development cycles
• Utilizing Ansible and Terraform for efficient software provisioning and infrastructure management
• Implementing security controls and incident management strategies to safeguard applications and data
• Collaborating with cross-functional teams to address system reliability and security challenges
• Mentoring team members to develop their skills and encourage innovation in DevSecOps practices
• Analyzing system components to identify interactions and optimize performance
• Validating project planning, budgeting, and execution to meet client expectations and timelines

DevOps Manager

• Plan, coordinate, and execute software deployments for Advent's financial software products to client environments, including upgrades, patches, and new installations.
• Develop and maintain deployment documentation, including installation guides, runbooks, and troubleshooting procedures.
• Automate deployment processes and build continuous integration/continuous delivery (CI/CD) pipelines to enhance efficiency and reliability.
• Collaborate with development, quality assurance, and support teams to ensure successful deployments and address any pre- or post-deployment issues.
• Perform post-deployment validation and testing to verify system functionality and performance.
• Provide technical support and troubleshooting for deployment-related issues, working with clients and internal teams to resolve problems promptly.
• Participate in the weekend upgrade work and provide critical deployment support as needed.
• Identify and implement best practices for software deployment, configuration management, and system administration.
• Conduct root cause analysis for deployment failures and implement preventative measures.

Deployment Engineer

• Build, deploy, and maintain scalable, highly available systems on AWS
• Own CI/CD pipelines and drive improvements to deployment automation
• Own and evolve infrastructure as code using Terraform and Ansible
• Research new tools and technologies, develop proofs of concept, and introduce validated practices to the team
• Improve system reliability — sharpen alerting, build out runbooks, and deepen observability across our stack (Grafana, Loki, Mimir, Tempo)
• Participate in an on-call rotation; off-hours incidents are rare thanks to extensive automation and self-healing — occasional evening work is limited to planned maintenance and system upgrades
• Maintain process documentation, operational runbooks, and infrastructure diagrams
• Help maintain and manage systems for other teams
• Raise the DevOps literacy of the engineering team — mentoring junior engineers and helping non-infrastructure engineers build good practices around deployments, observability, and reliability
• Collaborate with engineering teams on infrastructure design decisions

DevOps Engineer jobs in New York

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Senior DevOps Engineer

DevSecOps Platform Engineer

Site Reliability Engineer

Site Reliability Engineer

Compute Deployment Engineer

DevOps Engineer III

AI Deployment Engineer, Global Affairs

Senior DevOps Engineer, Security

Staff - Principal DevOps Engineer

Lead InfoSec Engineer, DevSecOps

Software Engineer – DevOps

Staff Infra/DevOps Engineer

Senior DevSecOps Cloud Consultant

Lead DevOps Engineer

Senior DevOps Engineer

AI Deployment Engineer

Infrastructure Engineer – SRE

DevOps Manager

Deployment Engineer

Senior DevOps Engineer