Senior Software Engineer

  • Full-time
  • Leadership Level: Leading Self
  • Legal Entity: ContiTech India Pvt. Ltd. (0353)
  • Working Time: Full Time
  • Compensation: INR 1800000 - INR 2400000 - yearly

Company Description

ContiTech is a major global industry specialist that develops and manufactures high-tech products, systems, and components made from rubber, plastic, metal, and fabric

At ContiTech, we are building a world-class Business Hub in Bangalore that supports global business functions and enables excellence across finance, technology, and corporate services. 

Job Description

  • Leverage AI-powered development tools (GitHub Copilot, Cursor, Claude, etc.) to improve engineering productivity, code quality, documentation, and testing.
  • Evaluate AI-generated code for correctness, security, maintainability, and performance before production deployment.
  • Participate in AI-driven code reviews, architecture discussions, and continuous improvement initiatives
  • Stay updated with emerging AI technologies and recommend innovative solutions to improve products and engineering practices.
  • Design, develop, and maintain scalable, secure, and reliable backend systems and APIs using modern technologies and engineering best practices.
  • Own one or more product modules and work closely with the Technical Lead to deliver high-quality solutions.
  • Identify, prioritize, and execute tasks throughout the Software Development Life Cycle (SDLC).
  • Write clean, efficient, maintainable, and testable code following coding standards and architectural guidelines.
  • Design and optimize backend systems for performance, scalability, reliability, and cost efficiency.
  • Implement robust security practices to protect sensitive data and ensure compliance with enterprise security standards.
  • Troubleshoot, debug, and resolve production issues while ensuring high system availability.
  • Collaborate with DevOps and Infrastructure teams to deploy, monitor, and optimize backend services.

Technical Skills

  • Experience of AI-powered development to improve engineering productivity, code quality, and testing.
  • Strong experience in Node.js as the primary backend technology.
  • Experience in TypeScript.
  • Strong experience with AWS Cloud Platform.
  • Hands-on experience with AWS Serverless technologies including Lambda, API Gateway, DynamoDB, S3, EventBridge, SQS, SNS, etc.
  • Strong experience designing and developing Microservices Architecture.
  • Good experience with relational and NoSQL databases such as PostgreSQL, DynamoDB, MongoDB, and Redis.
  • Strong understanding of RESTful APIs, asynchronous messaging, and event-driven architectures.
  • Experience with Infrastructure as Code (Terraform or CloudFormation) is preferred.
  • Experience with CI/CD pipelines using Jenkins, GitLab CI/CD, GitHub Actions, or similar platforms.
  • Experience with unit testing, integration testing, API testing, and code quality tools such as Jest, Mocha, SonarQube,  etc.
  • Strong experience using Git and modern source control workflows.

Qualifications

  • 5–8 years of overall software development experience.
  • 4+ years of backend development experience using Node.js and TypeScript.
  • 3+ years of experience with AWS cloud services (Lambda, API Gateway, DynamoDB, S3, ECS/EKS preferred).
  • 3+ years of experience designing and developing Microservices.
  • 2+ years of experience with CI/CD pipelines and DevOps practices.
  • 1+ years of experience using monitoring and code quality tools such as SonarQube, Datadog, AppDynamics, CloudWatch, etc.
  • 1–2 years of experience leveraging AI-assisted software development tools in day-to-day engineering activities.
  • AWS Certification and AI-related certifications  are a plus

Additional Information

  • Experience working in Agile software development environments.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills in English.
  • Strong collaboration skills with globally distributed teams.
  • Ability to learn and adopt emerging technologies quickly.
  • Experience working with Jira, Confluence, Git, Jenkins, SonarQube, Datadog, AppDynamics, and related engineering tools.
  • Willingness to travel occasionally to Continental R&D centers and partner locations.

Ready to drive with Continental? Take the first step and fill in the online application.

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