Sr. DevOps/Platform Engineer (Kubernetes, GitLab & GitOps) - Remote

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Description:

Are you an experienced DevOps or Platform Engineer who enjoys building cloud-native platforms, automating software deployments, and ensuring production systems remain secure, reliable, and scalable?

Do you have hands-on experience designing CI/CD pipelines, deploying applications to Kubernetes, and implementing GitOps automation?

Opportunity:

Virtual Service Operations (VSO) is seeking an experienced Senior DevOps / Platform Engineer to support a high-visibility enterprise technology modernization initiative.

This initiative focuses on developing foundational platforms and services that enable secure data connectivity, interoperability, API integration, and emerging AI capabilities across a large, complex enterprise environment. The project involves building a shared platform that allows applications, services, and data systems to securely connect through standardized APIs and modern integration technologies, including Model Context Protocol (MCP). In this role, you will design, build, automate, and operate the deployment and operations foundation for a cloud-native enterprise platform.

You will take ownership of CI/CD automation, container builds and deployments, GitOps workflows, infrastructure provisioning, observability, and disaster recovery capabilities. The initial phase focuses on delivering a Minimum Viable Product (MVP), with opportunities to expand platform capabilities as adoption grows. This is a hands-on engineering position. We are looking for someone who has personally built and operated production cloud-native environments - not someone whose experience is limited to maintaining existing infrastructure or administering development tools.

Key Responsibilities:

CI/CD Engineering & Deployment Automation:

• Design, develop, implement, and maintain GitLab CI/CD pipelines supporting platform services from source code commit through production deployment.
• Automate software builds, testing, validation, packaging, and deployment processes.
• Build, scan, sign, and publish container images using Docker and associated container tooling.
• Develop standardized, repeatable deployment processes that improve reliability and reduce manual intervention.
• Collaborate with software development teams to integrate applications and shared services into automated delivery pipelines.

Kubernetes & Container Platform Engineering:

• Deploy, configure, and operate containerized applications in production Kubernetes environments.
• Use Helm or Kustomize to package, configure, and manage Kubernetes application deployments.
• Implement and maintain GitOps deployment workflows using Argo CD, Flux, or comparable technologies.
• Establish version-controlled infrastructure and application configurations.
• Support platform upgrades, environment consistency, and operational scalability.
• Engineer zero-downtime deployments using rolling updates, blue/green deployments, or canary release strategies.
• Develop and test reliable rollback procedures to minimize service disruption.

Infrastructure as Code & Automation:

• Design and implement infrastructure provisioning and configuration automation using Terraform, Ansible, or comparable Infrastructure as Code (IaC) tools.
• Develop reusable infrastructure configurations and deployment templates.
• Automate environment creation, configuration, and maintenance across development, testing, and production environments.
• Write and maintain Bash and Python scripts supporting platform operations and automation.
• Improve deployment efficiency, consistency, and security through automation.

Monitoring, Observability & Reliability:

• Design and implement observability solutions covering application and platform metrics, logs, traces, dashboards, and alerting.
• Configure and maintain monitoring tools such as Prometheus, Grafana, ELK/OpenSearch, Splunk, or comparable platforms.
• Establish monitoring and alerting processes to identify performance issues, service degradation, and potential failures.
• Troubleshoot platform reliability, deployment, and operational issues.
• Collaborate with engineering teams to improve system availability, performance, and operational resilience.

Backup, Recovery & Platform Resilience:

• Design, implement, and test backup and recovery procedures for platform services and supporting data stores.
• Establish and validate disaster recovery processes aligned with defined Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO).
• Support backup, restoration, and recovery testing across platform environments.
• Contribute to operational documentation, runbooks, and platform recovery procedures.
• Identify opportunities to improve platform reliability, scalability, and recoverability.

Security & Continuous Improvement:

• Integrate security scanning and validation into automated build and deployment pipelines.
• Apply secure container build, image management, and deployment practices.
• Collaborate with cybersecurity and engineering teams to support security and compliance requirements.
• Contribute to platform architecture, operational standards, and technical documentation.
• Support the initial MVP implementation and future expansion of platform capabilities.