Top Hybrid DevOps & Platform Engineering Jobs

Build and maintain scalable, secure AWS infrastructure using Terraform, enhance Jenkins CI/CD pipelines, create Datadog monitoring dashboards, and automate operational tasks with Python or Bash. Work with Docker, participate in sprint ceremonies, support platform reliability, and gradually join the on-call rotation. Collaborate with senior engineers through code reviews while developing cloud, DevOps, and infrastructure automation skills.

Designs, implements, and supports secure hybrid and multi-cloud infrastructure while ensuring 24x7 availability and performance. Responsibilities include production monitoring, automation, workflow improvement, documentation, network and systems engineering, infrastructure security, and maintainable code development. The role participates in on-call support, manages complex Unix/Linux environments, collaborates across infrastructure and security teams, and helps expand and improve cloud, networking, identity, and integration services.

Design, build, and operate AI-agent systems and foundational cloud infrastructure for EarnIn’s developer platform. Responsibilities include managing AWS and Kubernetes environments, GitOps and CI/CD workflows, infrastructure as code, observability, developer self-service, incident automation, and AI-driven remediation. The role also involves production LLM integration, platform reliability, documentation, on-call participation, mentoring, and collaboration across engineering, product, and security teams.

Supports internal engineers by troubleshooting builds, CI, source control, cloud access, authentication, development environments, and AI coding tools. Responsibilities include triaging support requests, managing access through infrastructure-as-code, identifying recurring issues, communicating incidents, and building scripts, command-line tools, documentation, and AI-powered automation. The role provides early-career exposure to CI/CD, cloud infrastructure, identity and access management, and developer tooling.

Design, deploy, and maintain large-scale, highly available cloud-native systems and tooling. Collaborate with application teams to improve reliability, performance, and security; automate operations; run scale, chaos, and failure testing; participate in 24x7 incident response and on-call rotation; and standardize solutions across a multi-region microservice platform.

Designs and maintains CI/CD pipelines, DevSecOps workflows, software supply chain processes, and developer tooling across agile engineering teams. Builds AI-enabled automation using LLMs and MCP, develops Python integrations, manages Linux, Docker, and AWS infrastructure, and improves secure software delivery through automated scanning, artifact management, and scalable platform engineering.

Serves as a technical expert for enterprise end-user computing. Designs, implements, automates, maintains, monitors, and supports workstation environments, including endpoint management, software distribution, patching, application deployment, security remediation, hardware configuration, and troubleshooting. Develops automation scripts, documentation, reports, and configuration standards while partnering with IT teams. Participates in workstation technology evaluations, quality assurance testing, and rotating 24x7 on-call support.

Build and operate internal developer platforms across connected and air-gapped environments using Azure, Kubernetes, GitLab CI/CD, Terraform, Ansible, Helm, and automation. Develop Go CLI tools, Python helpers, and infrastructure provisioning integrations. Implement secure, deterministic pipelines with testing, vulnerability scanning, artifact promotion, SBOMs, and secrets management. Manage cloud resources, containers, Linux systems, enterprise identity services, and configuration management. This primarily onsite Arlington role requires an active Top Secret clearance with eligible SCI access.

Build and operate reliable, scalable production systems for Timescapes. Responsibilities include improving availability, observability, incident response, cloud infrastructure, deployment automation, and operational readiness. The role also architects ML platforms supporting data preparation, training, deployment, monitoring, and iteration, while applying AI to engineering operations. The engineer partners across Software, AI, Product, and Hardware teams to balance reliability, security, scalability, developer experience, and cost.

Manages the DevOps team responsible for source control, CI/CD, Terraform, release tooling, secrets, and certificates on Azure. Hires and develops engineers, plans sprint work, manages vendors, establishes engineering standards, supports audit controls, reviews technical changes, builds self-service tools, tracks delivery metrics, and leads incident response and on-call activities.