Engineering Manager - Data Platform

🇮🇳 Bengaluru, Karnataka
Posted 2 months ago
Expires June 9, 2026
Full TimeOn-siteEngineeringProduct

Harness is seeking an Engineering Manager to lead the development of a multi-cloud, open-source-backed, streaming-first data platform focused on API observability and security. This platform serves as the core pillar for customer-facing analytics and consumption layers across various product modules, including Catalog, Run-time Protection, and Application/AI Security. The role involves managing and growing an engineering team of 8-10 engineers, driving execution, innovation, and delivery of high-impact platform capabilities.

Key responsibilities include architecting and building large-scale data platforms and microservices-based systems that process and analyze high-volume API traffic. The Engineering Manager will lead project execution from planning to delivery, define scope, milestones, and deliverables in collaboration with cross-functional teams, and ensure adherence to best practices in architecture, coding standards, testing, and security. Additionally, the role involves debugging and resolving complex distributed system issues, managing engineering priorities, allocating resources effectively, and driving technical innovation to improve platform scalability and performance.

The ideal candidate will have 9–12 years of overall engineering experience, preferably in the platform space, with at least 2 years of engineering management experience. Proven ability to lead, mentor, and grow teams of 8+ engineers is essential. Hands-on experience building and scaling distributed data platforms and microservices architectures is required, along with strong programming skills in Java, Python, or Go. Operational experience with streaming and data processing technologies such as Kafka, Kafka Streams, Flink, and Spark is also necessary. Familiarity with modern analytical and data lake technologies like Apache Iceberg, Apache Pinot/Druid, and ClickHouse, as well as relational and NoSQL databases, is preferred. Strong understanding of observability, monitoring, and reliability practices for large-scale systems, excellent communication and leadership skills, and the ability to operate effectively in fast-growing startup environments are crucial.

Harness offers competitive compensation and benefits, including comprehensive healthcare coverage, flexible work schedules, paid time off, parental leave, and opportunities for professional development. The company fosters a culture of growth, collaboration, and transparency, encouraging team members to push boundaries and solve meaningful challenges. With a global team across 26 offices and 25 countries, Harness is shaping the future of AI software delivery and provides exceptional talent with the opportunity to make a real impact in the tech industry.

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