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# Senior DevOps Engineer

- **Company:** Dexian DISYS
- **Location:** Glen Echo, MD, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Build Automation, C Sharp (Programming Language), Computer Networks, Continuous Integration, Couchbase Servers, Data as a Services, Directed Acyclic Graph (Directed Graphs), DevOps, Disaster Recovery, Distributed Data Store, Elasticsearch, Github, Key Management, Node.Js, Role-Based Access Control, Prometheus, Systems Integration, Management of Software Versions, Backup and Restore, Google Cloud, Grafana, Multi-Cloud, Kubernetes, Infrastructure Automation Frameworks, Apache Kafka, Azure AKS, Data Pipelines, Jenkins, Golang
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/1495674c-5a47-4430-bc7b-b9fbc1935f71

## About the Role

* Experience with multi-cloud Kubernetes platforms, including AKS and GKE.
 * Experience building and maintaining CI/CD pipelines with Jenkins and GitHub Actions.
 * Experience with Backstage or comparable internal developer platform capabilities, including service catalogs, reusable templates, and self-service workflows.
 * Experience with Argo Workflows for batch or data workflow orchestration.
 * Experience operating distributed and stateful data services, including Kafka, CockroachDB, Couchbase, and Elasticsearch.
 * Experience with observability practices and tools, including Prometheus, Grafana, and Tempo.
 * Platform development experience with Go, Node.js, and C#/.NET.
 * Knowledge of security, compliance, reliability, secrets management, network policies, least privilege, cost monitoring, incident response, and postmortems.

Preferred Qualifications

 * 5-8 years of relevant experience.
 * Experience tuning Kafka, CockroachDB, Couchbase, and Elasticsearch.
 * Experience with backup and restore strategies and disaster recovery for distributed data services.
 * Experience designing secure, scalable, and cost-efficient Kubernetes environments.
 * Experience developing platform tooling such as CLIs, controllers/operators, APIs, and integrations.

## Description

Our client is seeking a Senior DevOps Engineer to support secure, reliable, and cost-efficient platform operations. This role will focus on multi-cloud Kubernetes environments, internal developer platforms, CI/CD, data workflows, stateful services, observability, platform automation, and security practices. The position is based in Bethesda, MD, or Boca Raton, FL., * Own multi-cloud Kubernetes platforms on Azure AKS and Google Cloud GKE, including cluster topology, networking, RBAC, and security policies.

 * Build and evolve an internal developer platform with Backstage, including service catalogs, golden-path templates, scorecards, and self-service scaffolding.
 * Engineer CI/CD at scale using Jenkins and GitHub Actions, including pipelines-as-code, environment promotion, secrets management, and artifact provenance.
 * Orchestrate batch and data workflows with Argo Workflows, including multi-tenant DAGs, resource quotas, artifact and versioning strategies, and operational guardrails.
 * Operate and tune Kafka, CockroachDB, Couchbase, and Elasticsearch, with responsibility for capacity planning, replication, backup and restore, and disaster recovery.
 * Establish end-to-end observability using Prometheus metrics, Grafana dashboards, and Grafana Tempo tracing.
 * Define and support SLOs, error budgets, actionable alerting, and on-call runbooks.
 * Build platform tooling and automation in Go, Node.js, and C#/.NET, including CLIs, controllers/operators, APIs, and integrations.
 * Drive security, compliance, and reliability practices, including image signing, SBOMs, secrets management, network policies, least privilege, cost monitoring, incident response, and postmortems.
 * Collaborate with teams developing in C#/.NET, Go, and Node.js.
 * Identify practical AI use cases and integrate tools that deliver measurable impact., * Contribute to the evolution of a practical internal developer platform with reusable templates and self-service capabilities.
 * Work across Azure AKS and Google Cloud GKE in a multi-cloud environment.
 * Help shape CI/CD, data workflow orchestration, observability, security, and reliability practices.
 * Build automation and developer-focused tooling across Go, Node.js, and C#/.NET.
 * Participate in practical AI initiatives focused on measurable impact.