DevOps Engineer III

Job Responsibilities:

CI/CD & GitOps : 
 
• Design, build, maintain, and enhance complex CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, or similar tools. 
• Implement reusable pipeline libraries, templates, quality gates, security scanning, automated testing, packaging, and deployment workflows. 
• Implement and support GitOps-based deployment workflows using Argo CD, Flux, or equivalent technologies. 
• Maintain declarative application and platform configuration, automated reconciliation, environment promotion, drift detection, rollback, RBAC, and secrets integration. 
• Implement deployment strategies such as blue/green, canary, progressive delivery, and automated rollback where appropriate. 
• Troubleshoot complex CI/CD, GitOps, and deployment issues and implement permanent corrective solutions. 
 
AWS & Cloud Infrastructure: 
 
• Implement and improve scalable, secure, resilient, and cost-efficient infrastructure primarily in AWS. 
• Work with AWS services including EC2, ECS, EKS, IAM, VPC, ALB/NLB, S3, RDS, Route 53, CloudWatch, SSM, Lambda, and related platform services. 
• Troubleshoot complex infrastructure, networking, IAM, DNS, security, performance, and application connectivity issues. 
• Implement established cloud architecture, security, tagging, governance, reliability, and operational standards. 
• Contribute implementation expertise, technical options, and proof-of-concept validation during solution and design reviews. 
Infrastructure as Code: 
 
• Design, develop, test, and maintain reusable infrastructure using Terraform/OpenTofu. 
• Create and enhance modular IaC frameworks used across multiple products, environments, and AWS accounts. 
• Implement Terraform state management, testing, validation, versioning, and lifecycle practices. 
• Integrate infrastructure provisioning with CI/CD and GitOps workflows. 
• Troubleshoot complex Terraform plan/apply issues, state issues, drift, and dependency problems. 
• Participate in and provide technical feedback during peer reviews of Infrastructure as Code changes. 
Automation & Platform Engineering :
 
• Develop automation and platform tooling using Python, Go, PowerShell, Bash, TypeScript, Ansible, or equivalent technologies. 
• Build reusable automation, APIs, utilities, templates, and workflows that reduce manual engineering and operational activities. 
• Implement Internal Developer Platform capabilities and self-service workflows based on established platform architecture and standards. 
• Build and improve paved roads/golden paths that simplify infrastructure provisioning and application delivery. 
• Maintain and improve artifact repository, configuration-management, and engineering automation capabilities. 
Containers & Kubernetes: 
 
• Build, configure, operate, and improve Kubernetes platforms, particularly Amazon EKS and Azure AKS where applicable. 
• Implement standards for cluster configuration, networking, workload isolation, identity, security, scaling, storage, observability, and lifecycle management. 
• Build and maintain reusable Helm charts and Kubernetes deployment patterns. 
• Troubleshoot complex Kubernetes, container, networking, storage, identity, resource, and application deployment issues. 
• Automate Kubernetes provisioning, upgrades, configuration, and operational activities. 
Monitoring, Reliability & Troubleshooting :
 
• Implement monitoring, logging, metrics, tracing, dashboards, and alerting using Datadog, Grafana, Prometheus, CloudWatch, or similar platforms. 
• Lead troubleshooting and root-cause analysis for complex infrastructure, platform, CI/CD, and deployment issues. 
• Implement high-availability, resiliency, disaster-recovery, scalability, and performance patterns defined for platform workloads. 
• Identify recurring operational issues and implement automation or permanent corrective actions. 
• Create and improve operational runbooks, health checks, recovery procedures, and platform documentation. 
• Participate in an on-call rotation where applicable. 
AI & Engineering Automation:
 
• Apply AI and agentic capabilities to practical DevOps and Platform Engineering use cases, including automation, CI/CD, troubleshooting, incident analysis, documentation, and developer self-service.
• Build or integrate AI-enabled workflows using approved enterprise AI services such as Amazon Bedrock, Azure OpenAI/OpenAI, or equivalent platforms. 
• Implement secure integrations between AI capabilities and approved cloud services, APIs, repositories, and engineering tools. 
• Apply appropriate identity, authorization, observability, guardrails, cost controls, and human-in-the-loop mechanisms to AI-enabled automation. 
Technical Leadership & Developer Enablement:
 
• Provide technical guidance within Platform Engineering initiatives and lead defined technical workstreams when required. 
• Mentor engineers and share expertise across cloud, DevOps, GitOps, Kubernetes, automation, and platform engineering practices. 
• Participate in design, code, infrastructure, and operational-readiness reviews and provide actionable technical feedback. 
• Collaborate with architects and senior engineers to evaluate implementation approaches and architectural trade-offs. 
• Partner with Engineering, Platform, CloudOps, SRE, Security, and other teams to deliver reliable platform capabilities. 

Required Skills & Experience:

• 7+ years of experience in DevOps, Cloud Engineering, Platform Engineering, SRE, Infrastructure Engineering, Software Engineering, or a related role. 
• Strong hands-on experience with AWS and enterprise cloud infrastructure. 
• Advanced experience with Terraform/OpenTofu and Infrastructure as Code, including reusable modules and multi-environment implementations. 
• Strong experience designing, building, and troubleshooting CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, or equivalent platforms. 
• Strong hands-on experience with GitOps deployment tools such as Argo CD, Flux, or equivalent technologies. 
• Strong hands-on experience with Docker, Kubernetes, EKS and/or AKS, and Helm. 
• Experience with configuration management and automation using Ansible or equivalent technologies. 
• Strong scripting/programming skills using one or more of Python, Go, PowerShell, Bash, TypeScript, or equivalent languages. 
• Experience with Git and pull-request-based development workflows. 
• Strong understanding of IAM/RBAC, cloud security, networking, DNS, load balancing, VPCs/subnets, routing, and security groups/firewalls. 
• Experience with observability platforms such as Datadog, Grafana, Prometheus, CloudWatch, or equivalent tools. 
• Ability to independently troubleshoot complex infrastructure, Kubernetes, CI/CD, GitOps, and deployment issues. 
• Demonstrated experience mentoring engineers and providing technical guidance. 

Preferred Skills :

• Experience building or contributing to Internal Developer Platforms and developer self service capabilities.
• Experience with multi-account AWS environments and enterprise cloud governance. 
• Experience with Azure and AKS or other multi-cloud infrastructure. 
• Experience with AI/LLM platforms and agentic automation, including Amazon Bedrock, Azure OpenAI/OpenAI, or equivalent technologies. 
• Experience with policy-as-code, security scanning, SonarQube, Trivy, or similar engineering controls. 
• Experience with cloud cost optimization and FinOps practices. 
• AWS, Terraform, Kubernetes, or other relevant certifications are a plus. 
• Experience working in an Agile/Scrum environment. 

Key Competencies:

• Strong technical troubleshooting and problem-solving skills.
• Automation-first and platform-engineering mindset. 
• Ability to independently own complex technical requirements from design through implementation and operational readiness. 
• Ability to translate architecture and engineering standards into reliable production implementations. 
• Ability to mentor engineers and lead defined technical workstreams without formal people-management responsibility. 
• Strong collaboration skills across Engineering, Platform, CloudOps, SRE, Security, and Architecture teams. 
• Good written and verbal communication skills and ability to explain technical trade-offs. 
• Continuous-learning mindset and ability to evaluate emerging technologies through hands-on implementation. 
 
Level III Expectations A DevOps Engineer III - Platform Engineering should be able to:
 
• Independently own and deliver complex DevOps and Platform Engineering work. 
• Design and implement advanced CI/CD and GitOps workflows using established enterprise standards. 
• Build and enhance reusable Terraform/OpenTofu modules, automation, and platform tooling. 
• Implement and troubleshoot complex AWS and Kubernetes/EKS platform solutions. 
• Build self-service capabilities and reusable paved-road patterns for Engineering teams.
• Lead root-cause analysis and drive permanent technical fixes for complex platform issues. 
• Contribute implementation expertise and technical recommendations to architecture and design decisions. 
• Apply AI-assisted and agentic automation to appropriate engineering use cases. 
• Mentor other engineers and lead technical workstreams when required. 
• Improve existing frameworks, standards, automation, reliability, and developer experience. 

Behavioral Competencies:

Cultivates Innovation
Decision Quality
Manages Complexity
Drives Results
Business Insight