Senior Software Engineer

Continental Group Sector ContiTech; Electronic City; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

ContiTech India Pvt. Ltd. in Bangalore is seeking an experienced backend engineer to advance AI-powered development initiatives and deliver scalable microservices. You will own backend modules, collaborate with the Technical Lead, and contribute across SDLC from design to deployment.

The role emphasizes Node.js and TypeScript, AWS cloud services, and modern backend architectures. Strong coding standards, security, and cost-efficient design are essential in this position.

Qualifications

• 5-8 years of software development experience.
• 4+ years backend development with Node.js and TypeScript.
• 3+ years AWS cloud services (Lambda, API Gateway, DynamoDB, S3).
• 3+ years designing and developing Microservices.
• 2+ years CI/CD pipelines and DevOps practices.
• 1+ years leveraging AI-assisted software development tools.
• AWS Certification and AI-related certifications are a plus.

Responsibilities

• Leverage AI-powered tools to improve engineering productivity, code quality, and testing.
• Evaluate AI-generated code for correctness, security, maintainability, and performance.
• 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.

Skills

Node.js

TypeScript

AWS Cloud Platform

AWS Serverless

Microservices

RESTful APIs

CI/CD

Git

Tools

Jira

Confluence

Jenkins

Terraform/CloudFormation

Datadog

AppDynamics

CloudWatch

DynamoDB

PostgreSQL

MongoDB

Redis

S3

Lambda

API Gateway

Job description

• 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.

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