Tasks Key Responsibilities Design, develop, and maintain RESTful APIs and microservices using Java (Spring Boot) or Golang. Implement scalable and resilient backend solutions hosted on Azure or AWS Cloud. Collaborate with front-end engineers, data engineers, and DevOps teams to deliver end-to-end solutions. Optimize application performance by tuning database queries, caching, and load balancing strategies. Ensure security best practices for APIs, authentication, and authorization (OAuth2, JWT, etc.). Develop CI/CD pipelines using tools like Azure DevOps, GitHub Actions, or AWS CodePipeline. Work with containerization and orchestration tools (Docker, Kubernetes, ECS, AKS, EKS). Implement monitoring and logging using tools like CloudWatch,Azure Log Analytics and Azure Monitor, Datadog, or ELK. Participate in Agile/Scrum ceremonies, code reviews, and provide mentorship to junior developers. Ensure compliance with coding standards, best practices, and cloud-native architectures. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 5–7 years of backend development experience. Strong expertise in Java (Spring Boot) or Golang for building microservices and APIs. Hands-on experience with Azure (Functions, AKS, ADLS, Cosmos DB, Service Bus) or AWS (Lambda, ECS, S3, DynamoDB, SQS/SNS, RDS, API Gateway). Strong knowledge of REST APIs, gRPC, and event-driven architecture. Experience with SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, Cosmos DB). Proficiency in CI/CD pipelines, version control (Git), and Infrastructure as Code (Terraform, CloudFormation, ARM templates). Familiarity with observability tools (Grafana, Datadog, ELK stack, Cloud-native monitoring). Understanding of message brokers/streaming platforms (Kafka, Kinesis, Event Hub). Solid understanding of software engineering principles: OOP, design patterns, and system design. Nice to Have Experience with serverless architectures (AWS Lambda / Azure Functions). Exposure to DevSecOps practices and cloud security. Familiarity with GraphQL or API gateways (Kong, Apigee, API Management). Knowledge of Data Engineering / Big Data tools (Spark, Databricks, Glue) is a plus.

About Mercedes-Benz India

Mercedes-Benz India Pvt. Ltd. was established in 1994 at Pune, India with the aim to become the fastest green-field operations ever to be created. We are currently rated as one of the top CKD plants of Mercedes-Benz globally We’re pioneers in delivering world-class automobile solutions built with intelligent technology and the will to create ‘The Best or Nothing’. With our unwavering set of values and the continuous pursuit of excellence through the years, we work towards delivering a sustainable future that offers unparalleled luxury and premium brand experience through our products and services. Our product portfolio ranges from the New Generation Cars, to the luxury sedans like the Masterpiece of Intelligence – The E-Class, the Essence of Luxury - Mercedes-Maybach; to the adventurous SUVs like the GLC and the GLS; along with the performance-driven AMGs.