Devops Engineer with 7+ years in Kubernetes, AWS, Docker & CI/CD.
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Assessing your cultural and operational fit
DevOps Engineer with ~6.5 years of experience designing and scaling CI/CD pipelines, cloud-native infrastructure, and distributed systems in enterprise and automotive domains. Proven expertise in Kubernetes, AWS, Docker, Terraform, and Python, with a strong track record of automating deployments, improving system reliability, and enabling global-scale test infrastructure. Delivered centralized HiL/SiL test platforms reducing hardware dependency and enabling remote validation workflows. Adept at building highly available, self-healing systems aligned with modern DevOps and Site Reliability Engineering (SRE) practices.
K.S. Institute of Technology (VTU)
Bachelor of Engineering · Electronics and Communication
August 1, 2014 – June 30, 2018
Capgemini Engineering (Client: Mercedes-Benz R&D India)
DevOps Engineer
December 1, 2024 – Present
Bengaluru, Karnataka, India
Herbalife Nutrition
DevOps Engineer
June 1, 2021 – December 1, 2024
Bengaluru, Karnataka, India
Herbalife Nutrition
Data Protection Engineer
July 1, 2019 – June 1, 2021
Bengaluru, Karnataka, India
Centralized Automotive Testbench Platform
June 15, 2026 – Present
Built a global testbench farm for HiL/SIL ECU testing with remote access. Designed a cloud-based booking system utilizing an AWS and Kubernetes microservices architecture. Integrated Vector hardware tools with software orchestration layers to enable automated ECU flashing, validation, and reporting workflows.
Cultural Fit Analysis
The candidate's experience across different companies (Capgemini Engineering, Herbalife Nutrition) and diverse projects (automotive testbenches, multi-cloud infrastructure) indicates adaptability and a broad skill set. Their involvement in Agile frameworks (2-week Sprints) suggests a fit for dynamic, collaborative environments. The transition from Data Protection Engineer to DevOps Engineer shows a growth mindset and willingness to take on new challenges.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their work on optimizing CI/CD pipelines, automating infrastructure, and designing self-healing systems. Their experience in coordinating with vendors and managing incident tracking suggests good operational acumen and collaboration skills. The project descriptions indicate a proactive approach to improving efficiency and reliability.