Engineering Manager - Data Platform

Harness
Bengaluru
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 9-12 yearsSkills: ["Leadership","Communication","Collaboration"]

Lead the design and development of a multi-cloud, OSS-backed, streaming-first data platform powering API observability and security products. Manage an 8-10 engineering team, drive execution and innovation, optimize large-scale data systems, and collaborate with product, data science, and other teams to deliver high-impact platform capabilities.

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FursaFursa
Harness
Harness
4 months ago

Engineering Manager - Data Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Lead the design and development of a multi-cloud, OSS-backed, streaming-first data platform powering API observability and security products. Manage an 8-10 engineering team, drive execution and innovation, optimize large-scale data systems, and collaborate with product, data science, and other teams to deliver high-impact platform capabilities.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Architect and build large-scale data platforms and microservices-based systems that process and analyze high-volume API traffic.
  • •Lead project execution from planning to delivery, defining scope, milestones, and deliverables in collaboration with cross-functional teams.
  • •Ensure engineering teams follow best practices in architecture, coding standards, testing, and security.
  • •Debug and resolve complex distributed system issues across streaming, storage, and service layers.
  • •Manage engineering priorities, allocate resources effectively, and ensure timely delivery of projects.

Key Requirements

  • •9–12 years of overall engineering experience preferably in the platform space.
  • •At least 2 years of engineering management experience. Proven ability to lead, mentor, and grow teams of 8+ engineers, fostering a high-performance engineering culture.
  • •Hands-on experience building and scaling distributed data platforms and microservices architectures.
  • •Strong programming experience in Java, Python, or Go.
  • •Operational experience with streaming and data processing technologies such as Kafka, Kafka Streams, Flink and Spark.
Experience:9-12 yearsData platformsCloudPlatform
Skills:LeadershipCommunicationCollaboration
Languages:English
Tech Stack:JavaPythonGoKafkaKafka StreamsFlinkSparkApache IcebergApache PinotDruidClickHouseRelational databasesNoSQL databases

Company Brief

Harness
Provides a continuous delivery and software delivery platform that automates deployment, feature releases, rollbacks, and cloud cost optimization using machine learning to help engineering teams deliver changes quickly and safely.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn