Top Hybrid DevOps & Platform Engineering Jobs

Build and operate GovCloud production infrastructure and Kubernetes clusters, own GitOps CI/CD, observability, security/compliance (SOC2/CMMC/FedRAMP), contribute backend code (Python/TypeScript), and improve developer experience and resilience.

The role involves building and supporting infrastructure, improving developer tooling, and managing networking and security while gaining experience in DevSecOps practices.

As a Staff DevOps Engineer, you'll build scalable infrastructure, maintain CI/CD pipelines, enhance system reliability, and ensure security for financial products.

Responsible for designing, building, and scaling Python codebases, managing cloud-based distributed systems, and implementing DevOps practices to enhance AI-driven semiconductor technologies.

Own production reliability, availability, and performance for cloud-native systems. Operate and scale Kubernetes (EKS) clusters, manage AWS infrastructure, implement IaC with Terraform and Helm, improve CI/CD, build observability with Prometheus/Grafana/EFK, lead incident response and RCA, participate in on-call rotations, and support security and compliance.

Own and operate infrastructure-as-code across cloud, on-prem, and bare-metal; build CI/CD pipelines; containerize and orchestrate services; maintain observability and reliability; participate in on-call and incident response; enable engineering teams with self-service tooling and secure deployment practices.

Designs, deploys, automates, monitors, and supports Microsoft Azure cloud infrastructure. Implements IaC, CI/CD, hybrid connectivity, security and governance controls, and operational automation. Troubleshoots incidents, optimizes cost/performance, and collaborates with stakeholders and vendors to deliver secure, scalable cloud solutions.

Design, build, and operate scalable, resilient cloud infrastructure and SRE tooling. Lead cross-team technical projects, mentor engineers, define SLOs and incident management, automate CI/CD and IaC, reduce failure domains, and own medium-to-large infrastructure features from design through delivery.

Build and maintain backend systems and infrastructure for an AI-focused startup. Implement services in Python/TypeScript, design moderately complex systems, manage SQL/NoSQL databases, deploy on public cloud (AWS/GCP/Azure), use containerization and IaC, build CI/CD pipelines, implement monitoring/logging (Prometheus/Grafana/ELK/DataDog), and ensure strong networking, Linux, and database security.

Hands-on technical leader responsible for designing and implementing large-scale, cloud-native AWS solutions. Lead architecture and engineering across teams, mentor engineers, drive cloud modernization, ensure security, scalability, observability, and CI/CD/DevOps best practices.