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Senior, niche platform role at Tier-1 Bangalore reduces applicant density despite brand and metro draw.
Requires deep data platform, distributed systems, and platform engineering experience, limiting cross-industry transferability.
Explicit 8+ years requirement plus multiple mandatory platform, distributed systems, and tooling skills.
Design, build, and maintain an integrated development environment for data exploration, analytics, and development including tools like Jupyter Notebook and SQL editors.
Integrate Data Studio with large-scale data and compute platforms such as Spark, Hadoop, Flink, and cloud-native services, developing backend services and APIs for session and resource management.
Improve platform reliability, scalability, performance, security, and developer experience by collaborating closely with data engineers, analysts, and data scientists to enable efficient self-service data workflows.
8+ years of software engineering experience in Java, Python, or similar languages.
5+ years of experience with Jupyter, SQL development environments, or similar data exploration/developer platforms.
Experience with distributed data technologies such as Spark, Hadoop, Flink, or similar systems; familiarity with Kubernetes, Docker, and cloud-native infrastructure.
Work Experience Required: 8+ years software engineering; Notice Period: Not explicitly mentioned in the JD.
Experienced in building and maintaining production-grade software with AI coding agents to improve engineering velocity while maintaining code quality and reliability.
Strong understanding of APIs, distributed systems, and production platform engineering, with ability to capture and communicate complex technical and business knowledge for AI-driven automation.
Familiarity with internal developer or data platforms and distributed scheduling systems (e.g., Airflow) is a plus, indicating ability to operate in complex data engineering environments.