Devops Site Reliability Engineer

Key Responsibilities

• Design, implement, and manage complex infrastructure and platform solutions across hybrid cloud environments, including AWS, Azure, and on-premises systems.
• Lead public cloud migration and on-premises modernization initiatives, including OpenStack migration where applicable.
• Architect and implement Infrastructure as Code using Terraform, Atlantis, Crossplane, and Ansible.
• Build and maintain automation pipelines with Jenkins, GitHub Actions, Argo Workflows, Argo CD, and Argo Rollouts.
• Implement progressive delivery practices, including blue-green and canary deployment strategies.
• Develop Python and/or Go tooling and automation that improves operational efficiency and developer productivity, applying AIOps principles where appropriate.
• Oversee Kubernetes infrastructure, including deployment, scaling, cluster operations, and management of custom operators. Apply scaling technologies such as CAS and Karpenter where appropriate.
• Implement and manage Istio or a similar service mesh and gateway solution for Kubernetes workloads.
• Build and scale observability solutions using Dynatrace, Splunk, and open-source tools, providing end-to-end visibility across applications and infrastructure.
• Establish product resiliency practices, including high availability, fault tolerance, disaster recovery, and AWS resiliency best practices.
• Design and execute Chaos Engineering practices to identify weaknesses and improve system resilience.
• Drive multi-cloud cost optimization through monitoring, governance, and automated cost-control measures.
• Create and maintain product security scorecards aligned with organizational benchmarks, and promote secure application builds, packaging, deployments, and DevOps tooling.
• Troubleshoot complex infrastructure and application issues through to resolution.
• Provide technical leadership, mentor junior engineers, and contribute to architecture and platform standards.
• Collaborate with globally distributed architects, developers, and SRE teams, including participation in shift coverage needed to support global teams.

Required Qualifications and Skills

• Bachelor's or master's degree in engineering, computer science, or a related discipline, or equivalent practical experience.
• 8+ years of experience in infrastructure engineering, platform engineering, DevOps, SRE, or a related field.
• Deep understanding of hybrid and multi-cloud environments, particularly AWS and Azure.
• Strong Python and/or Go programming skills for automation, scripting, and tooling.
• Proficiency with Kubernetes, including cluster operations, scaling, and custom operator development or management.
• Advanced experience with CI/CD and progressive delivery tools such as Jenkins, GitHub Actions, Argo CD, Argo Workflows, and Argo Rollouts.
• Hands-on experience with Infrastructure as Code and configuration management tools, especially Terraform and Ansible.
• Strong Linux system administration, shell scripting, performance optimization, and troubleshooting skills.
• Proven experience implementing and scaling observability platforms using Dynatrace, Splunk, and/or comparable open-source technologies.
• Experience designing and enforcing cost optimization strategies in hybrid or multi-cloud environments.
• Experience with Istio or another service mesh technology and its configuration.
• Knowledge of REST, SOAP, JSON, and XML API standards.
• Strong analytical, problem-solving, communication, and leadership skills, with the ability to guide cross-functional teams.
• Good understanding of Agile development practices.
• Ability to analyze complex problems and troubleshoot them to resolution.

Preferred Qualifications

• Experience with AIOps, AI/ML, generative AI implementations, or MLOps platforms and frameworks.
• Experience securing application builds, packages, deployments, and DevOps platforms.
• Cloud or Kubernetes certifications, such as AWS Certified Solutions Architect, CKA, or CKAD.
• Knowledge of the HCM or HRMS domain.