Walk-in || Devops Site Reliability Engineer

Senior DevOps/SRE Consultant

About the Role

We are looking for an experienced Senior DevOps/SRE Consultant to join our global OBT team and work closely with Engineering Fleet, Architecture, Application Development, and SRE teams. This role will design, implement, and operate resilient, secure, scalable, and cost-efficient platforms across AWS, Azure, and on-premises environments.

The successful candidate will combine strong infrastructure and software engineering skills with a passion for automation, AIOps, observability, and developer productivity. You will lead cloud and on-premises modernization initiatives, improve delivery practices, and help establish reliable operating standards for critical products.

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.
• 7+ 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.

Working Model

This role collaborates with globally distributed teams and may require shift hours to provide overlapping coverage across time zones.