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PDI Technologies is seeking a DevOps Engineer IV to define and evolve enterprise Platform Engineering architecture and strategy. This is a senior individual contributor role focused on establishing architectural direction, standards, and reusable patterns across cloud infrastructure, Kubernetes, Infrastructure as Code, GitOps, and developer enablement.
Key Responsibilities:
Platform & Cloud Architecture: Define and evolve Platform Engineering architecture across AWS and Azure, ensuring scalability, availability, reliability, security, and cost efficiency. Establish standardized reference architectures, engineering standards, and reusable patterns. Architect cloud platforms and paved roads enabling self-service infrastructure consumption. Lead architecture reviews and evaluate emerging cloud-native technologies.
Infrastructure as Code & Automation: Define architecture and standards for reusable IaC using Terraform/OpenTofu with modular design, versioning, testing, and governance. Establish patterns for consistent adoption across products and environments. Define automation strategies reducing manual infrastructure and operational activities. Guide development of platform automation, APIs, and utilities.
GitOps & Continuous Delivery: Define GitOps architecture and standards using Argo CD, Flux, or equivalent. Establish standards for declarative configuration, repository architecture, environment promotion, secrets management, and policy enforcement. Integrate GitOps with Kubernetes, IaC, CI/CD, and security controls. Define reusable deployment patterns including blue/green, canary, and progressive delivery.
Kubernetes & Cloud-Native Platforms: Define architecture for enterprise container platforms (EKS, AKS). Establish Kubernetes patterns covering cluster design, networking, workload isolation, identity, security, scalability, and observability. Provide architectural guidance for complex Kubernetes challenges.
Platform & Developer Enablement: Architect Internal Developer Platform capabilities simplifying infrastructure provisioning. Define reusable platform services, templates, APIs, and self-service capabilities. Establish golden paths abstracting infrastructure complexity while maintaining security and governance. Partner with engineering teams to evolve platform capabilities.
AI & Agentic Engineering: Define architecture patterns for incorporating AI and agentic capabilities into DevOps workflows. Identify high-value opportunities for AI across infrastructure automation, CI/CD, troubleshooting, and incident analysis. Evaluate enterprise AI technologies and define secure integration patterns. Establish patterns for AI agents to interact securely with cloud services and engineering platforms.
Security, Governance, FinOps & Reliability: Define cloud governance frameworks covering IAM, RBAC, security, compliance, and policy-as-code. Establish architectural guardrails enabling independent team operation while maintaining enterprise requirements. Define patterns for high availability, disaster recovery, and resiliency. Drive cloud cost optimization and FinOps practices.
Technical Leadership: Provide technical leadership and architectural direction for complex Platform Engineering initiatives. Lead cross-team technical initiatives from architecture through operational readiness. Mentor engineers in cloud, DevOps, GitOps, Kubernetes, and architecture capabilities. Facilitate architecture discussions and influence engineering standards across teams. Coordinate technical efforts while operating as a senior individual contributor.
Requirements:
- 10+ years of experience in DevOps, Cloud Engineering, Platform Engineering, Infrastructure Engineering, or related role
- Extensive experience designing enterprise-scale cloud and platform architectures
- Deep expertise in AWS architecture, services, and best practices
- Expert-level experience with Terraform/OpenTofu, including modular architecture, reusable frameworks, governance, testing, and enterprise-scale implementations
- Strong experience with Kubernetes and enterprise container platforms, particularly EKS and/or AKS
- Deep understanding of Kubernetes architecture, networking, security, identity, scaling, observability, storage, and lifecycle management
- Strong understanding of GitOps architecture and operating models with experience designing solutions using Argo CD, Flux, or equivalent
- Strong understanding of CI/CD architecture and enterprise software-delivery practices
- Deep understanding of IAM, RBAC, cloud security, least-privilege architecture, policy-as-code, compliance, and audit controls
- Strong understanding of distributed systems, scalability, high availability, disaster recovery, resiliency, and performance architecture
- Strong automation and scripting/programming skills using Python, Go, PowerShell, Bash, TypeScript, or equivalent
- Experience with observability, SRE, reliability, operational excellence, and cloud cost/FinOps practices
- Demonstrated technical and architectural leadership across multiple engineering teams and complex initiatives
- Ability to translate business and engineering requirements into scalable platform architecture, reference patterns, and technical standards
Preferred Skills:
- Experience designing Internal Developer Platforms and enterprise developer self-service capabilities
- Experience establishing enterprise paved roads/golden paths across multiple product teams
- Experience implementing GitOps at scale across multiple Kubernetes clusters, environments, and teams
- Experience with large-scale cloud migration and modernization programs
- Experience implementing enterprise cloud governance across multi-account AWS environments
- Experience with Azure/AKS or other multi-cloud environments
- Experience designing AI-assisted or agentic DevOps and Platform Engineering workflows using Amazon Bedrock, Azure OpenAI/OpenAI, or equivalent
- Experience with platform engineering metrics, developer experience, and engineering productivity measurement
- AWS, Terraform, Kubernetes, architecture, or other relevant certifications
