Top Hybrid DevOps & Platform Engineering Jobs

Site Reliability Engineer supporting platform reliability, observability, automation, and incident response. Responsibilities include implementing SLIs, SLOs, error budgets, monitoring, dashboards, alerts, and distributed tracing; migrating observability tooling to New Relic; automating operational workflows with Terraform and scripting; supporting AWS and Kubernetes environments; participating in on-call rotations; troubleshooting incidents; and documenting runbooks and reliability standards.

Leads platform support operations across cloud and on-premises environments. Manages support teams, incident response, deployments, releases, configuration, vulnerability remediation, monitoring, root cause analysis, and service improvements. Oversees DevSecOps workstreams, vendor governance, automation, operational planning, budgets, timelines, performance metrics, and stakeholder communications while mentoring team members and improving infrastructure reliability and security.

Designs, builds, and operates secure, scalable AWS cloud platforms using Terraform, Kubernetes, Infrastructure as Code, and automation. Develops reusable platform tools with Python or Go, implements CI/CD and SRE practices, improves observability and reliability, and supports Amazon EKS environments. Partners with security, architecture, application development, and operations teams to embed governance, compliance, resilience, and self-service capabilities into cloud services.

Designs, manages, and automates AWS cloud and enterprise computing infrastructure for a government defense program. Responsibilities include provisioning, monitoring, cost optimization, scripting, infrastructure automation, containerized and virtualized application support, network infrastructure, security controls, logging, compliance, and technical advising. The engineer collaborates with development, operations, and security teams while serving as a technical representative in customer meetings.

Administer Linux and Windows systems in VMware environments, including installation, configuration, monitoring, patching, security hardening, STIG compliance, backups, troubleshooting, and root cause analysis. Support RHEL-hosted applications and security tools, manage virtual machines and containers, resolve hardware and network issues, maintain documentation, perform evaluation testing, and provide occasional off-hours on-call support.

Lead automation and administration of enterprise hosting infrastructure, including Nutanix virtualization, virtual machines, Linux systems, networking, storage, backups, and disaster recovery. Develop automation using Bash, PowerShell, and Python; monitor infrastructure health; troubleshoot complex systems issues; perform patching, upgrades, hardening, and lifecycle management; and support infrastructure design, security controls, documentation, incident resolution, and cross-functional engineering initiatives.

Design, build, deploy, and operate cloud-native platform services and automation. Develop production software primarily in Go, support Kubernetes workloads, improve reliability and scalability, write tests and instrumentation, maintain runbooks, participate in on-call rotations, and contribute to CI/CD, infrastructure, and observability practices. Collaborate with senior engineers and mentor junior team members through code reviews, pairing, and knowledge sharing.

Lead infrastructure engineer responsible for engineering and supporting SharePoint Online, OneDrive, and SharePoint on-premises environments. Duties include planning migrations with AvePoint Fly, automating site provisioning and lifecycle management, supporting SharePoint farms and related infrastructure, coordinating patching and disaster recovery, troubleshooting across Windows, IIS, SQL, networking, identity, and certificates, documenting procedures, and participating in on-call support.

Leads AI infrastructure engineering strategy, roadmaps, governance, and delivery across Consumer & Community Banking. Builds and manages high-performing engineering teams, oversees budgets and vendors, and partners with senior stakeholders on AI platform requirements, risk, security, compliance, and reliability. Directs production ML and GenAI workloads using cloud infrastructure, Kubernetes, GPU orchestration, infrastructure as code, automation, observability, model serving, and AI gateways. Drives large initiatives, operational excellence, cost optimization, and auditable AI-assisted engineering practices.

Designs, operates, and improves scalable infrastructure platforms with strong focus on reliability, observability, security, performance, and capacity management. Builds monitoring dashboards, analyzes telemetry, resolves complex infrastructure issues, and establishes service objectives. Develops AI-assisted and agentic automation for triage, runbooks, incident summarization, and change validation. Works across cloud and on-premises environments using scripting, infrastructure as code, CI/CD, and enterprise monitoring tools.

Administer and optimize high-volume, highly available PostgreSQL and MongoDB environments across GCP and other cloud services. Responsibilities include implementing database changes through Terraform and GitHub, managing replication, backups, disaster recovery, failover testing, performance tuning, security, monitoring, automation, incident response, on-call support, and maintenance. The role collaborates with engineering teams on schema design, query optimization, BigQuery governance, and database reliability.

Design, develop, and scale cloud-based backend services and microservices while improving reliability, security, performance, and maintainability. Build CI/CD pipelines, observability, and automated deployment solutions; establish SRE practices including SLIs, SLOs, and incident response. Mentor engineers, support releases, troubleshoot production issues, and drive resilient architecture and continuous engineering improvement across teams.

Administer and engineer Google Workspace in a large, complex enterprise environment. Serve as a Tier 3 escalation point, manage security policies, compliance, monitoring, automation, Chrome devices, and integrations. Lead end-to-end migrations from Microsoft platforms and between Google domains, including planning, data mapping, cutover, validation, and migration tooling. Collaborate with security and IT teams to secure and optimize Workspace services while communicating technical issues to stakeholders.

Leads teams responsible for Inventory software, Linux platform engineering, and software build and release systems. Sets technical direction, oversees reliability, security, quality, CI/CD, automation, and software delivery. Partners cross-functionally to improve platform integration and engineering processes, mentors employees, manages performance, contributes technically, and participates in an on-call rotation for business-critical systems.