Overview

We are looking for a DevOps Engineer III - Platform Engineering with advanced hands-on experience in cloud infrastructure, CI/CD, Infrastructure as Code, GitOps, automation, Kubernetes, and platform engineering technologies.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Qualifications

• 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.
• Strong scripting/programming skills using one or more of Python, Go, PowerShell, Bash, TypeScript, or equivalent languages.
• Strong understanding of IAM/RBAC, cloud security, networking, DNS, load balancing, VPCs/subnets, routing, and security groups/firewalls.
• Ability to independently troubleshoot complex infrastructure, Kubernetes, CI/CD, GitOps, and deployment issues.
• Demonstrated experience mentoring engineers and providing technical guidance.
• AWS, Terraform, Kubernetes, or other relevant certifications are a plus.
• 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.
• 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.
• Cultivates Innovation