Mobileum - Principal Engineer - Distributed Systems

Role : Principal Engineer Cloud Native, Big Data & Distributed Systems with AI experience

Experience Range : 10-15 Years

Location : Bangalore

About the Role :

The ideal candidate will be a hands-on technologist with proven experience in designing and building large-scale distributed systems, preferably using Java and/or Python.

A strong background in AI/ML, CI/CD practices, and modern data platforms like Hadoop, Spark, and Trino is critical for success in this role. You will play a pivotal role in leading architecture design, driving technical excellence, and mentoring engineering teams to deliver scalable, high-performance solutions.

Roles & Responsibility :

- Architect and implement complex microservices solutions on Kubernetes.

- Drive the adoption of big data technologies including Hadoop, Spark, and Trino for real-time and batch data processing.

- Collaborate with data scientists to deploy and scale AI/ML models in production.

- Champion best practices in CI/CD, testing, observability, and DevOps automation.

- Conduct technical reviews of designs, code, and implementation strategies.

- Serve as a mentor and technical leader for a team of engineers, fostering a culture of innovation and high performance.

- Collaborate with cross-functional teams to align architecture with business goals.

Desired Profile :

- Experience in working with AI technologies.

- Contributions to open-source projects or published technical papers would be an added advantage.

Why Join Us ?

- Lead architectural initiatives that impact the business at scale.

- Collaborate with passionate, talented teams in a dynamic environment.

- Flexible work arrangements and strong emphasis on work-life balance.

Technical skills :

- Proven experience with Kubernetes, Docker, and microservices architecture.

- Expertise in big data technologies : Hadoop, Spark, Trino (or Presto).

- Hands-on experience with cloud platforms (AWS, GCP, or Azure).

- Deep understanding of CI/CD pipelines, GitOps, and automation tools.

- Knowledge and practical experience with AI/ML models, frameworks, and deployment practices.

- Experience in using Gen AI capabilities in daily work activities.

- Excellent problem-solving and communication skills.

- Strong knowledge on System design with high experience on building highly scalable and reliable applications.

Work Experience :

Educational Qualification :