Cloud Developer III

Overview

Cloud Developer III role on the HPE Hybrid Cloud team, designing and developing scalable, robust solutions to strengthen and expand Observability solutions. Designated as onsite with an expectation to primarily work from an HPE office.

What you'll do

• Write scalable, robust, testable, efficient, and easily maintainable code.
• Develop, support and maintain one or more modules related to observability data points.
• Optimize the application for maximum speed and scalability.
• Collaborate with front-end developers to integrate user-facing elements with server-side logic.
• Work closely with DevOps and infrastructure teams to deploy and monitor applications in production environments.
• Take part in life-cycle project delivery work that includes requirement analysis, designing, building, testing and deployment.
• Analyse use cases and requirements to design secure and scalable solutions.
• Participate in Design and Code Reviews and work with Customer Support Teams for Customer Escalations.

What you'll need

• Must have 7-10 years of experience in designing, implementation and deployment of highly scalable SaaS applications/platforms and distributed systems.
• Strong background in Core Java, Multi-Threading, Data Structures, Distributed Systems, Spring framework, Spring security, Hibernate.
• Ability to prepare necessary Design Specifications, participate in Design and Code Reviews and work with Customer Support Teams for Customer Escalations.
• Strong experience with the design and implementation of OAuth / SAML tooling.
• Experience in authentication and authorization mechanisms such as JWT, session-based authentication, and role-based access control (RBAC).
• Strong data structure and algorithm skills to work with distributed backend systems.
• Experience designing and building APIs.
• Experience working with redis, elasticsearch, cassandra, mysql.
• Familiarity with Agile development methodologies and CI/CD environment.
• Demonstrated ability to work with Product management, QA, and remote teams.
• Excellent organizational, verbal, and written communication skills.
• Deep expertise in AI-First SDLC methodologies and tools, with a proven ability to identify, implement, and leverage AI-driven solutions to enhance operational efficiency, innovation, and business value.

Details

• Location: Hyderabad, Telangana, India.
• Work mode: Onsite, with an expectation to primarily work from an HPE office.
• Job level: TCP_03 (Management Level: applies subject matter expertise, may act as project lead, exercises independent judgment).