Lead Digital Engineer Devops

About TVS / Who are we?

TVS Motor Company is a reputed two and three-wheeler manufacturer globally, championing progress through Sustainable Mobility with four state-of-the-art manufacturing facilities in Hosur, Mysuru and Nalagarh in India and Karawang in Indonesia. Rooted in our 100-year legacy of Trust, Value, and Passion for Customers and Exactness, we take pride in making internationally aspirational products of the highest quality through innovative and sustainable processes. We are the only two-wheeler company to have received the prestigious Deming Prize. Our products lead in their respective categories in the J.D. Power IQS and APEAL surveys. We have been ranked No. 1 Company in /the J.D. Power Customer Service Satisfaction Survey for consecutive four years. Our group company Norton Motorcycles, based in the United Kingdom, is one of the most emotive motorcycle brands in the world. Our subsidiaries in the personal e-mobility space, Swiss E-Mobility Group (SEMG) and EGO Movement have a leading position in the e-bike market in Switzerland. TVS Motor Company endeavours to deliver the most superior customer experience across 80 countries in which we operate.

For more information, please visit www.tvsmotor.com.

Job Title / Role: Lead Digital Engineer (DevOps)

Department:

Digital and AI is a key function at TVS Motor which is leading digital transformation infused with AI across TVS Motor and group companies globally. We are creating and enhancing digital native experiences for our customers, partners and colleagues leveraging the best of technologies and algorithms to differentiate and personalize user experience thereby earning the right to be in their daily life and creating a competitive differentiation in the marketplace. Agile, open source, DevSecOps, distributed cloud, pubsub messaging, data scalability, extended reality, Internet of things, MACH architecture, Total experience, sustainable technology, responsible AI and several others are not buzzwords but business archetypes we work with every day! Do you want to engage and lead digital and AI transformation in global mobility? Look us up!

Location: Bangalore (Electronic City I)

Education Qualification: BE/B.Tech/BS/MS/PhD in Computer Science, Information Technology, or a related field.

Required Experience : 7-9 years of professional experience in Software Engineering, with at least 5-6 years in DevOps and Kubernetes.

About the Section:

Our Data engineering team is responsible for the data architecture, warehousing and data processing pipelines that power various web & mobile applications, our data-science products and services, and feed our machine learning APIs.

Purpose of the role

The Lead Digital Engineer (DevOps) at TVS Motors will drive the development, deployment, and scaling of scalable infrastructure solutions to enable advanced digital applications and data services for adjacent mobility business functions. This role bridges the gap between data engineering, application development, and infrastructure management, ensuring the delivery of robust, efficient, and secure digital platforms that support TVS Motors' mobility ecosystem.

Role Description

As the Lead Digital Engineer (DevOps), the individual will lead engineering efforts for building and managing a reliable and scalable infrastructure that powers digital assets like web and mobile applications, as well as data science and machine learning services. This role will demand a hands-on approach to modern DevOps practices, Kubernetes ecosystem management, CI/CD automation, and collaboration with cross-functional teams to deliver optimal performance and reliability across digital platforms.

The ideal candidate will combine technical expertise in cloud-native technologies, a commitment to security and compliance, and a passion for mentoring and fostering engineering excellence.

Managing self-hosted services in Kubernetes (MQTT, Kafka, Redis, Databases, Nginx).

Using Helm charts for application packaging and deployment.

Automating scaling using Kubernetes HPA and Cluster Autoscaler.

Designing and maintaining CI/CD pipelines for seamless infrastructure and service delivery.

Monitoring and alerting tools like Prometheus, Grafana, Loki (for log aggregation), and ELK Stack.

Implementing and managing centralized log aggregation solutions using Loki and its associated tools.

Expertise in cloud platforms (AWS, GCP, Azure) and hybrid infrastructure management.

Proficiency with containerization technologies (Docker) and orchestration (Kubernetes).

Knowledge of source control systems (Git/GitHub) and configuration management tools (Ansible, Chef, etc.).

Strong shell scripting skills (Bash, PowerShell) and familiarity with Python for automation.

Experience in deploying and managing stateful and stateless workloads in Kubernetes.

Skilled in optimizing and maintaining highly available, secure, and scalable production systems.

Key Responsibility Areas

Design, implement, and manage scalable infrastructure solutions in Kubernetes to ensure optimal performance and reliability of services.

Monitor and manage Kubernetes clusters, focusing on service availability, scaling, and resource optimization to meet SLA requirements.

Automate scaling (up and down) of services using tools like Horizontal Pod Autoscaler (HPA) and Cluster Autoscaler.

Develop and maintain CI/CD pipelines for automated deployment, testing, and delivery of infrastructure and services.

Set up, configure, manage, and monitor self-hosted services such as MQTT, Kafka, Redis, Databases, and Nginx within Kubernetes clusters.

Implement robust alerting and monitoring solutions using tools like Prometheus, Grafana, and Loki (for log aggregation) to ensure continuous observability of infrastructure and services.

Handle the deployment, maintenance, and upgrades of both stateful and stateless services across development, staging, and production environments.

Optimize Kubernetes workloads for cost efficiency, reliability, and performance.

Design and implement log aggregation solutions using Loki and its tech stack, enabling efficient centralized log management across environments.

Collaborate with cross-functional teams to troubleshoot and resolve infrastructure issues while adhering to SLA and operational requirements.

Ensure compliance with IT security standards and successfully pass IT security assessments and penetration tests.

Maintain high availability and performance of production systems by proactively managing scalability, disaster recovery, and incident response.

Functional competency

Expertise in managing Kubernetes clusters and associated components like Helm, HPA, and Cluster Autoscaler for scalable and resilient infrastructure.

Deep knowledge of cloud platforms (AWS, GCP, Azure) and hybrid infrastructure strategies.

Proficiency in building robust CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI/CD for seamless integration and deployment of applications and services.

Strong capability in implementing monitoring tools (Prometheus, Grafana) and log aggregation systems (Loki) to maintain system health and optimize resource utilization.

Behavioral competency

Ability to guide, inspire, and mentor team members while fostering a collaborative and growth-oriented environment.

Strong analytical mindset to troubleshoot complex infrastructure challenges and implement efficient solutions.

Willingness to stay updated with emerging technologies, adapt to new tools and practices, and lead the adoption of innovative solutions.

Excellent interpersonal skills to work effectively with cross-functional teams, convey technical information to non-technical stakeholders, and align efforts with business objectives.