Top Hybrid DevOps & Platform Engineering Jobs

Build and manage backend applications and platform components for Chariot’s identity and payment network. Design scalable APIs and backend systems, establish engineering standards, improve monitoring and alerting, and collaborate directly with founders, product managers, and engineers. Drive projects from inception through delivery within an Agile/Scrum environment while contributing to architecture, technology strategy, and product decisions.

Lead the architecture, governance, reliability, security, and operation of highly scalable Azure infrastructure supporting large-scale security data workloads. Own SRE practices, SLOs, observability, disaster recovery, CI/CD, infrastructure as code, DevSecOps, container orchestration, and platform automation. Partner with engineering, AI/ML, product, and security teams to optimize performance and costs, ensure workload portability, and mentor teams on Azure architecture and reliability.

Administer and monitor Linux and cloud systems supporting DIB company vetting and onboarding. Perform remote Linux administration via SSH, install software using RPM and YUM, gather system status, and support Docker, Kubernetes, Helm, Ansible, CloudFormation, Terraform, and Traefik environments. The role requires managing large Hadoop clusters and maintaining an active TS/SCI clearance with Polygraph.

Designs and owns large-scale AWS architectures and Databricks lakehouse platforms; leads Terraform, policy-as-code, CI/CD, observability, AIOps, governance, incident escalation, and cross-team initiatives. The role mentors engineers, documents architecture, evaluates emerging technologies, and communicates technical decisions to stakeholders while improving platform reliability, scalability, security, and cost efficiency.

As a Tech Lead DevOps Engineer, you will architect and build deployment solutions, enhance CI/CD processes, and mentor a high-caliber engineering team. You will drive systems design, improve application monitoring, and foster a culture of collaboration and security within the team.

Senior hands-on technical leader to mature, scale, and operationalize an Azure-first hybrid cloud platform. Design and implement Azure networking, identity, security, compute, storage, governance, IaC, automation, monitoring, and hybrid connectivity. Drive standards, operational maturity, cost management, and platform engineering practices; mentor teams; lead complex implementations and incident response; collaborate with Security, Data/AI, Applications, and stakeholders to deliver secure, resilient, and cost-effective infrastructure solutions.

Build, maintain, and improve cloud operations for microservice platforms. Develop automation scripts and infrastructure as code, manage AWS environments, containers, orchestration platforms, CI/CD pipelines, and multi-cloud networking. Troubleshoot complex system issues, monitor performance, implement security and disaster recovery measures, support canary deployments and chaos engineering, and participate in on-call operations. The role also includes technical leadership, code reviews, cross-team collaboration, and coaching junior DevOps Engineers.

Leads architecture and operation of NVIDIA’s global compute platform across bare metal, virtualized, and cloud environments. Responsibilities include managing Kubernetes, OpenShift, KubeVirt, large-scale GPU infrastructure, automated remediation, telemetry, capacity planning, infrastructure-as-code, self-service platforms, GitOps, and legacy workload migrations. The role requires influencing autonomous engineering teams, handling hardware failures and large-scale infrastructure constraints, and establishing operational maturity for frontier AI inference systems.

Build and maintain a scalable AI travel management platform. Responsibilities include designing observability, monitoring, alerting, and reliability systems; managing and upgrading AWS infrastructure across environments; developing concurrent software; designing scalable database models; improving deployment speed; and contributing to backend architecture, security, testing, documentation, and software engineering standards.

Designs, deploys, upgrades, maintains, and optimizes enterprise database systems and related data infrastructure. Provides advanced operational support, performance and capacity analysis, patching, backups, integrity checks, disaster recovery documentation, incident communication, and change management. Participates in on-call rotations and mentors junior staff. Preferred experience includes GCP data services, healthcare or life sciences datasets and standards, HIPAA compliance, and troubleshooting ETL and data-quality issues.