API Developer

2 weeks ago


Bengaluru Chennai Hyderabad, India Chubb Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Software Engineer Backend

About Chubb

Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 43,000 people worldwide. Additional information can be found at:

About Chubb India

At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow.

With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.

We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.

Position Details:

  • Function/Department: Advanced Analytics
  • Location: Bangalore, India
  • Employment Type: Full-time
  • Role Overview API Developer

We are seeking a driven and experienced Software Engineer Backend to join our growing engineering team. Reporting to the Lead Software Engineer - Backend, you will play a key role in designing, building, and maintaining the backend systems that power our web applications and AI-driven features. This role requires hands-on expertise in , Python, real-time systems, queuing mechanisms, and database design. You'll collaborate with cross-functional teams to deliver scalable, secure, and high-performance solutions that align with business goals.

Major Responsibilities

  • Develop, test, and maintain scalable backend services and APIs using , Python or similar technologies.
  • Contribute to the design and implementation of backend architecture, ensuring reliability, performance, and maintainability.
  • Build and maintain real-time features using WebSockets and implement queuing systems such as Kafka, RabbitMQ, or Redis Pub/Sub.
  • Integrate AI-powered features into backend workflows by consuming APIs or services provided by internal or third-party AI platforms.
  • Design and manage data models and interactions with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases.
  • Work closely with DevOps to support CI/CD pipelines and deployment automation on cloud platforms such as AWS, Azure, or GCP.
  • Monitor and optimize application performance, diagnose production issues, and contribute to ongoing stability and scalability improvements.
  • Collaborate with frontend engineers and other team members to define clean, well-documented APIs.
  • Participate in code reviews, technical discussions, and knowledge-sharing sessions within the backend team.
  • Support peers and junior engineers and contribute to a collaborative, learning-oriented team culture.

Skills and Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 6-11 years of professional experience in backend development with strong skills in Python or
  • Hands-on experience building RESTful APIs and real-time systems using WebSockets or other messaging protocols.
  • Working knowledge of AI integration, such as connecting to APIs from OpenAI or other machine learning services.
  • Experience implementing and managing message queues like Kafka, RabbitMQ, or Redis streams.
  • Proficiency with both SQL and NoSQL databases, including query optimization and schema design.
  • Experience working with cloud platforms (e.g., AWS, Azure, GCP) and using tools for CI/CD, containerization, and deployment.
  • Strong debugging, problem-solving, and performance tuning skills.
  • Ability to work independently, take ownership of tasks, and deliver high-quality code on schedule.
  • Excellent communication and collaboration skills, with a willingness to learn and share knowledge.

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