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# Senior DevOps Platform Engineer

- **Company:** Insight Global
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Backup Devices, Bash Shell, C Sharp (Programming Language), Cloud Computing, Continuous Integration, DevOps, Disaster Recovery, Identity and Access Management, Python (Programming Language), Key Management, PostgreSQL, Octopus Deploy, Reliability Engineering, Cloud Services, Ansible, Software Engineering, SonarQube, Datadog, Policy as Code, Load Balancing, Veracode, Amazon Virtual Private Cloud (VPC), Amazon Relational Database Service, AngularJS, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Cloud Migration, Cloudwatch, Model Context Protocol, Terraform, Programming Languages, Microservices
- **Published:** October 15, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3448936249&tx=KK4343FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field, or equivalent practical experience
 * 3+ years of hands-on DevOps, cloud, infrastructure, or platform engineering experience
 * Expert-level Kubernetes experience, preferably with Amazon EKS
 * Strong understanding of Kubernetes governance, admission control, policy enforcement, environment isolation, backup and recovery, networking, and horizontal scalability
 * Strong AWS experience across services such as EC2, VPC, S3, IAM, RDS/Aurora, load balancing, and Lambda
 * Advanced Infrastructure as Code experience using Terraform
 * Experience developing reusable Terraform modules, platform automation, self-service workflows, and standardized environment patterns
 * Experience designing, building, and improving CI/CD pipelines, preferably with GitLab CI/CD
 * Strong automation and scripting experience using Python, Bash, or a similar language
 * Software development knowledge using C#, Python, or another modern programming language
 * Experience building or supporting an internal developer platform
 * Experience creating golden paths, service catalogs, developer portals, or reusable infrastructure products
 * Experience with Open Policy Agent, Gatekeeper, GitOps, or Argo CD
 * Experience with Helm, Ansible, or similar configuration and deployment tools
 * Experience with Datadog, CloudWatch, SonarQube, JFrog, Veracode, or LaunchDarkly
 * Familiarity with PostgreSQL, .NET, Angular, APIs, and cloud-native microservices
 * Experience with secrets-management platforms and enterprise IAM standards
 * Experience supporting cloud migrations, product onboarding, or platform adoption
 * Experience working in a global enterprise with distributed teams
 * Familiarity with AI engineering environments, AI governance, or Model Context Protocol
 * AWS, Kubernetes, Terraform, DevOps, platform engineering, or security certifications
 * Experience mentoring engineers and improving technical standards across teams

## Description

Insight Global is assisting a client in finding a Senior DevOps Platform Engineer to modernize and scale the companies shared DevOps platform. This is a newly created role, not a backfill. The organization has strong DevOps foundations but needs a senior engineer who can move the team from one-off solutions and reactive support toward a reusable, scalable platform model. This person will build standardized capabilities that product teams can easily adopt across infrastructure provisioning, Kubernetes environments, CI/CD pipelines, security, onboarding, and disaster recovery. This is a hands-on engineering position for someone who can both define the platform strategy and build the technical solutions behind it.

Platform Engineering and Modernization * Own and evolve shared DevOps platform capabilities used by multiple product and engineering teams * Turn recurring development-team needs into reusable, automated, and supportable platform solutions * Establish platform standards, golden paths, templates, and self-service workflows * Reduce one-off implementations by creating repeatable infrastructure and deployment patterns * Help introduce an internal platform model that allows teams to consume approved tools and infrastructure more efficiently Kubernetes and AWS Engineering * Modernize and scale Kubernetes environments, with a primary focus on Amazon EKS * Improve Kubernetes networking, workload reliability, upgrades, horizontal scalability, and production readiness * Establish governance for environment isolation, admission control, policy enforcement, backup, and recovery * Improve how the organization uses Kubernetes for its microservices-based applications * Design secure and
scalable solutions across AWS services including EC2, VPC, S3, IAM, RDS/Aurora, load balancing, and Lambda Infrastructure as Code and Reusable Services * Develop and maintain reusable Terraform modules and standardized environment patterns * Automate infrastructure provisioning, configuration, access, and environment creation * Build self-service capabilities that allow product teams to consume infrastructure without recreating common solutions * Establish repeatable approaches for cloud migrations and new product onboarding * Ensure infrastructure solutions meet security, reliability, and enterprise architecture standards CI/CD and Developer Enablement * Design, build, and improve CI/CD pipelines, preferably using GitLab CI/CD * Establish consistent standards for builds, testing, security checks, artifact management, deployments, and release readiness * Improve deployment traceability and reliability across environments * Partner with product teams to identify delivery friction
and create scalable solutions * Automate onboarding and handoff processes through documentation, templates, and standardized workflows Security, Governance, and Reliability * Define roles, permissions, and access patterns across the DevOps platform * Implement platform guardrails using IAM, policy as code, admission controls, secrets management, and network controls * Apply tools such as Open Policy Agent, Gatekeeper, or equivalent technologies to enforce Kubernetes standards * Engineer platform observability, resilience, capacity, backup, and disaster-recovery capabilities * Collaborate with Security, SRE, Architecture, and cloud service owners to apply enterprise standards within the business unit AI-Ready Platform Enablement * Help establish secure and reusable environments for AI-enabled engineering use cases * Develop governance and access patterns that allow teams to adopt approved AI capabilities responsibly * Support reusable integrations and Model Context Protocol
capabilities where appropriate * Partner with software, architecture, security, and data teams to ensure AI-related environments are supportable and scalable Technical Leadership * Remain hands-on in engineering, automation, and complex troubleshooting * Diagnose infrastructure, application, networking, deployment, and security issues across multiple layers * Prioritize root-cause correction and reusable fixes over temporary workarounds * Document technical decisions, architecture standards, and implementation practices * Mentor engineers and help reduce dependency on individual team members or external vendors * Communicate platform outcomes, technical risks, and recommendations to both technical and business stakeholders