Engineering Manager - CI

Position Summary

Harness is seeking an exceptional Engineering Manager to lead the team building the Harness Cloud platform, the infrastructure foundation powering Continuous Integration (CI) and several other Harness products. This is a unique opportunity to lead engineers building one of the industry's most scalable cloud-native execution platforms, responsible for securely orchestrating build infrastructure across thousands of virtual machines, Kubernetes clusters, and bare-metal systems.

As an Engineering Manager, you'll lead a highly technical team responsible for architecting, scaling, securing, and operating the cloud platform that powers millions of build executions. You'll partner closely with Product Management, SRE, Customer Success, and Principal Engineers to deliver highly available infrastructure that enables developers worldwide to build software faster, more securely, and at massive scale.

This role is ideal for leaders who enjoy solving complex distributed systems challenges, growing high-performing engineering teams, and remaining deeply engaged in technical architecture and execution.

About the Role

The Harness Cloud platform forms the foundation for Continuous Integration (CI) and several other Harness products. As an Engineering Manager, you'll lead a team responsible for scaling and evolving the cloud infrastructure that powers our global software delivery platform.

You will:

• Lead a team building the Harness Cloud platform, including lifecycle management of a large fleet of virtual machines, bare-metal infrastructure, and Kubernetes environments.
• Drive the architecture, scalability, security, and reliability of distributed cloud infrastructure powering millions of CI workloads.
• Partner with Product Management to define technical roadmaps and deliver capabilities that improve platform scalability, reliability, performance, and customer experience.
• Work closely with Principal Engineers to define long-term technical strategy and architecture for the Harness Cloud platform.
• Collaborate with Cloud Engineering, SRE, and Customer Success teams to diagnose and resolve complex production issues across distributed infrastructure.
• Foster engineering excellence through architecture reviews, design discussions, peer code reviews, and operational best practices.
• Lead incident response, postmortems, and continuous improvements in observability, resiliency, and operational maturity.
• Recruit, mentor, and grow engineers and technical leaders while building an inclusive, high-performing engineering culture.
• Balance execution of customer commitments with long-term investments in platform scalability, automation, and developer productivity.

About you

Proven Engineering Leader

• 3+ years of experience leading high-performing engineering teams delivering distributed infrastructure or cloud platform services.
• Proven track record of mentoring engineers while driving technical execution and organizational growth.

Cloud Infrastructure Expertise

• 8+ years of software engineering experience building cloud-native infrastructure, backend systems, or distributed platforms using Golang, Java, or similar languages.
• Strong experience operating infrastructure on AWS, GCP, or Azure.

Distributed Systems

Strong understanding of:

• Distributed systems
• Virtual Machine lifecycle management
• Container technologies
• Networking
• Storage systems
• Kubernetes
• High availability and fault tolerance

Technical Leadership

• Experience authoring architecture documents and technical specifications.
• Ability to break down complex technical problems into executable engineering plans.
• Comfortable driving technical decisions across multiple engineering teams.

Operational Excellence

Experience with:

• Production operations
• Incident management
• Observability
• Monitoring
• Logging
• Performance optimization
• Capacity planning
• Reliability engineering

Customer Focus

• Passionate about building infrastructure that improves developer productivity.
• Comfortable partnering with customer-facing teams to diagnose production issues and influence product direction.