DevOps Architect

Role & Responsibilities

• Define and lead the DevOps architecture and strategy across cloud, infrastructure, application, and deployment environments.
• Design scalable, secure, highly available, and automated DevOps platforms for enterprise applications.
• Architect and implement CI/CD pipelines covering build, test, security, release, deployment, and rollback processes.
• Design and manage cloud infrastructure across AWS, Azure, GCP, or hybrid-cloud environments.
• Drive Infrastructure as Code using Terraform, Ansible, CloudFormation, or equivalent technologies.
• Design and manage containerized environments using Docker and Kubernetes.
• Establish DevOps standards around GitOps, automation, configuration management, release management, and environment provisioning.
• Integrate security into development and deployment workflows and drive DevSecOps practices.
• Implement monitoring, logging, observability, alerting, and operational automation across application and infrastructure environments.
• Design solutions for high availability, scalability, disaster recovery, resilience, and business continuity.
• Collaborate with software engineering, SRE, cloud, infrastructure, security, data, and product teams to improve delivery and operational efficiency.
• Evaluate emerging DevOps, cloud-native, automation, and platform technologies and recommend appropriate solutions.
• Identify and eliminate deployment bottlenecks, infrastructure inefficiencies, operational toil, and technical debt.
• Establish architecture standards, reusable frameworks, engineering guidelines, documentation, and best practices.
• Lead cloud migration, application modernization, CI/CD transformation, and DevOps maturity initiatives.
• Monitor cloud and infrastructure utilization and drive cost optimization and resource efficiency.
• Provide technical leadership and mentorship to DevOps, platform, and engineering teams.
• Communicate architecture decisions, technical risks, project progress, and recommendations to senior stakeholders.

Preferred Candidate Profile

• 5 to 10 years of experience in DevOps, Cloud Engineering, SRE, Platform Engineering, Infrastructure Engineering, or related roles.
• Strong experience designing and implementing enterprise-scale DevOps and cloud architectures.
• Expert-level knowledge of at least one major cloud platform: AWS, Azure, or GCP.
• Strong hands-on experience with Kubernetes, Docker, Terraform, Ansible, Helm, and Infrastructure as Code.
• Extensive experience designing CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or equivalent platforms.
• Strong understanding of GitOps, microservices, distributed systems, cloud-native architecture, and deployment strategies.
• Experience with GitOps tools such as Argo CD or Flux is preferred.
• Strong understanding of cloud networking, IAM, security, secrets management, and container security.
• Experience implementing DevSecOps practices, including SAST, DAST, dependency scanning, container scanning, and vulnerability management.
• Strong experience with observability and monitoring tools such as Prometheus, Grafana, ELK, Splunk, or OpenTelemetry.
• Experience designing highly available, scalable, fault-tolerant, and disaster-resilient systems.
• Strong programming or scripting skills in Python, Go, Bash, or similar languages.
• Experience with cloud migration, platform modernization, automation, and infrastructure optimization.
• Understanding of SRE principles, including reliability, SLOs, incident management, monitoring, and performance optimization.
• Experience with cloud cost optimization and infrastructure capacity planning.
• Strong system-design, architecture, troubleshooting, problem-solving, and technical decision-making skills.
• Demonstrated experience leading technical initiatives and mentoring engineers across teams.
• Excellent communication and stakeholder-management skills, with the ability to explain complex technical concepts to technical and non-technical audiences.
• Bachelors degree in Computer Science, Information Technology, Computer Engineering, or a related discipline; M.Tech/MS/MCA is an advantage.
• Relevant certifications such as AWS/Azure/GCP, CKA/CKAD, Terraform, or Kubernetes are an advantage.