DevOps/SRE Engineer
Send a job offer directly to this candidate
I am a DevOps/SRE Engineer with 3.5 years of experience completed at Tata Consultancy Services, My expertise spans DevOps, Site Reliability Engineering, Automation, AWS Cloud, Linux System Administration, and Security. Open To Relocation
DevOps Engineer & Site Reliability Specialist with 3.5+ years of hands-on experience managing and automating full-stack environments in leading-edge enterprise IT settings. Recognized for architecting end-to-end cloud solutions, building robust CI/CD pipelines, and driving impactful automation across production operations. Awarded for innovation and excellence in delivery, with a proven ability to bridge technical and business teams, and a passion for adopting the latest DevOps and AI tools to enhance productivity and platform resilience.
Full-Stack DevOps & SRE: Implemented and supported web applications and critical business workloads across ERP, hybrid, and cloud-native environments (AWS, Kubernetes, Docker, Terraform, Ansible), ensuring seamless and rapid deployment from development to production.
Pipeline Automation & CI/CD: Designed and maintained Jenkins/Maven pipelines integrating SonarQube, Black Duck, and Fortify, reducing errors by 35% and automating 90% of manual artifact tasks.
Cloud & Infrastructure Mastery: Automated management of 100+ Linux/Windows servers and complex AWS resources, cutting provisioning time by over 95% and manual effort by half.
Monitoring & Observability: Established real-time system dashboards with Prometheus, Grafana, CloudWatch, and Dynatrace, proactively reducing MTTD by 40% and boosting uptime.
Security & Compliance: Embedded security tools into CI/CD and enforced credential management using AWS Secrets Manager and Ansible Vault, aligning with industry best practices.
Incident Management: Led RCA initiatives and rapid incident response, steadily improving system reliability and accelerating recovery.
Collaboration & Leadership: Drove cross-functional knowledge sharing, managed stakeholder engagement, and led community workshops and training—gaining recognition for DevOps leadership and communication.
Continuous Learning: Rapidly adopts new technologies and integrates AI-driven solutions to improve IT productivity.
