Engineering Manager - Data Platform

Mosaic.tech; Bengaluru; On-site; INR 400,000 - 700,000; Full time

Job summary

Harness is seeking an engineering leader to design and scale multi-cloud data platforms and microservices that power API observability and security products. You will manage an 8–10 person team, drive execution, and champion reliability and cost optimization across large-scale systems.

Collaborate with product managers and data scientists across distributed teams. Strong coding in Java, Python, or Go, with expertise in Kafka, Spark, Iceberg, and related technologies, and a focus on security and

Qualifications

• 9–12 years of overall engineering experience, preferably in the platform space.
• At least 2 years of engineering management experience, leading 8+ engineers.
• Hands-on experience building distributed data platforms and microservices.
• Strong coding skills in Java, Python, or Go.
• Experience with streaming/data processing tech: Kafka, Kafka Streams, Flink, Spark.

Responsibilities

• Architect and build large-scale data platforms and microservices-based systems processing high-volume API traffic.
• Lead project execution from planning to delivery with cross-functional collaboration.
• Ensure best practices in architecture, coding, testing, and security.
• Debug and resolve complex distributed system issues across streaming, storage, and service layers.
• Drive technical innovation and measure KPIs for productivity, performance, and reliability.

Skills

Java

Python

Go

Distributed systems

Leadership

Mentoring

Communication

Tools

Kafka

Kafka Streams

Flink

Spark

Iceberg

Pinot/Druid

ClickHouse

Relational DB

NoSQL DB

Job description

Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code – testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this “outer loop,” helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle.

Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform.

Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency.

With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery — and we’re looking for exceptional talent to help us move even faster.

Position Summary

This role comes under the AppSec Platform charter, focused on designing and developing a multi cloud, portable, OSS backed, streaming first data platform for powering API observability & security products. Additionally the team is also responsible for common services in the authentication & authorization space. The platform serves as the core-pillar for customer facing Analytics & consumption layer for various product modules like Catalog, Run-time Protection, Application/AI Security. You will be expected to manage and grow an engineering team of 8-10 engineers, driving execution, innovation, and delivery of high-impact platform capabilities, drive operational excellence through monitoring, reliability improvements, cost optimization of large-scale data systems and most importantly contribute to the company’s mission of becoming a global leader in the AppSec space.

About the Role

• 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.
• Drive technical innovation, evaluating and adopting new technologies to improve platform scalability and performance.
• Define and track KPIs for engineering productivity, system performance, and reliability.
• Collaborate closely with product managers, data scientists, and other engineering teams to build features aligned with customer and business needs.

About You

• 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 with modern analytical and data lake technologies such as Apache Iceberg, Apache Pinot/Druid, ClickHouse etc.
• Familiarity with relational and NoSQL databases.
• Strong understanding of observability, monitoring, and reliability practices for large‑scale systems.
• Excellent communication and leadership skills, with experience working across geographically distributed teams.
• Ability to operate effectively in fast‑growing startup environments with evolving requirements.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.