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Harness

Staff Software Engineer – AI SRE

Harness · Bengaluru, Karnataka, India

Posted about a month ago

or apply directly on Harness 's site. We never take the application ourselves.

Is this posting real?

This role has been open
30 days
Harness 's roles stay open a median of 45 days
Reposted
No
Salary listed
No
17% of Harness 's roles list one
Ghost-job risk at Harness
high
61 stale, 0 reposted of 77 open
Hiring momentum
112 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Harness 's own greenhouse board since 2026-08-03. Full hiring picture for Harness .

About this role

The Staff Software Engineer – AI SRE role at Harness involves designing and building scalable platforms that enhance service reliability and incident response. You will lead technical efforts, collaborate with cross-functional teams, and develop AI-assisted capabilities for incident detection and automation. This position requires a deep understanding of distributed systems and a focus on improving operational efficiency through innovative engineering solutions.

Our read on this posting3.0out of 5
benefits
1/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Harness as an employer.

What you need

  • 7 to 10 years of professional software development experience building scalable, distributed applications or platforms
  • Strong experience with Java
  • Proven experience leading the architecture and delivery of complex, production-critical systems without relying on direct authority
  • Deep understanding of distributed systems, concurrency, resiliency, failure handling, data structures, and algorithms
  • Experience designing REST, gRPC, GraphQL, and asynchronous service integrations
  • Hands-on experience with Kubernetes, containers, and cloud-native architectures

Nice to have

  • Experience with AWS, Azure, or Google Cloud Platform
  • Experience in incident management, on-call orchestration, SLO/SLI frameworks, incident management practices and AI-assisted root cause analysis
  • Experience building internal developer platforms or reliability tooling
  • Customer-facing experience representing technical products to enterprise stakeholders
  • Strong architectural judgment balancing near-term delivery with long-term scalability, extensibility, and enterprise security

Worth weighing

  • No salary listed
  • Role involves high-pressure incident management responsibilities
  • Focus on AI and automation may require continuous learning and adaptation to new technologies

Summarised from Harness 's posting. Read the full original.

Listed by Harness on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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