Principal Engineer - II
Gainsight
| Company | Gainsight |
| Category | Engineering |
| Location | Bengaluru |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 1 Jul 2026 |
| Last verified | 1 Aug 2026 |
| Source | Employer career page (ashby) |
Description
We’re building the AI-driven future of customer success, from retention to growth!
We’re building the AI-driven future of customer success, from retention to growth! Gainsight is the AI-powered retention engine behind the world’s most customer-centric companies. The Gainsight CustomerOS platform orchestrates the customer journey from onboarding to outcomes to advocacy. More than 2,000 companies trust Gainsight’s applications and AI agents to drive learning, adoption, community connection, and success for their customers. To explore how our suite of solutions is shaping the future of customer success, check out the link https://www.gainsight.com.
About This Role:
We’re looking for a full-time Principal Engineer II to join our Engineering team, reporting to the Senior Director, Engineering. This role is a hybrid role based out of our Bangalore, India location.
In this role, you’ll play a key role in building and maintaining secure, scalable, high-performance core services for the native AI Platform by utilising your strong expertise in Core Java, Spring Framework, Spring Boot, Node.js, Angular, API development, MongoDB, PostgreSQL, Neo4j, and AWS. This is a great opportunity for someone who thrives in a dynamic, cloud-native development environment and enjoys working cross-functionally with teams like product management and design. The ideal candidate brings strong skills in backend development, with a focus on quality, performance, and hands-on experience in handling authentication and authorization for AI-native platforms.
What You'll Do:
- Design, develop, and maintain robust backend applications using Core Java, Spring Boot, and Node.js.
- Build and manage RESTful APIs and microservices for a scalable platform.
- Develop systems that are both Headless and dynamic, responsive front-end applications using Angular
- Work with MongoDB and PostgreSQL for schema design, data modeling, and performance optimization.
- Develop and manage SSO, Authentication, and Authorisation services.
- Deploy, monitor, and optimize solutions in AWS cloud environments (EC2, K8, S3, RDS, Lambda, etc.).
Collaborate with QA, DevOps, and Product teams for seamless delivery.
- Participate in system architecture design, code reviews, and technical discussions.
- Troubleshoot production issues, ensure reliability, and improve application performance.
- Mentor junior engineers and contribute to engineering best practices in building secure and scalable native AI platform services.
This is not a complete list of responsibilities, and the scope of the role may evolve with the needs of the team and business.
What We're Looking For:
Must-have skills or experience:
- Over 8 years of professional development experience in backend and full-stack engineering.
- Strong expertise in Java (Core Java, Spring Boot, Spring Data, Spring Security).
- Hands-on experience with Node.js for backend services.
- Proven experience in API development and microservices architecture.
- Proficiency in Angular (latest versions) for front-end development.
- Experience with MongoDB and PostgreSQL (data modeling, query optimization).
- Strong working knowledge of secured API Gateway, Authentication and Authorisation services development.
- Practical experience with AWS cloud services (EC2, K8, S3, RDS, Lambda, CloudWatch, etc.).
- Familiarity with CI/CD pipelines, Docker.
- Strong understanding of design patterns, clean code, and scalable architecture.
- Excellent problem-solving and debugging skills.
- Ability to work independently and lead technical discussions.
Nice-to-have skills or experience:
- Experience with OAuth2.1 standards, MCP, OpenAI Protocols
- Knowledge of caching technologies (Redis, Hazelcast, etc.).
- Experience with serverless and cloud-native architectures.
- Prior experience in Agile/Scrum environments.
Education:
- Bachelor’s/Master’s degree in Computer Sc
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