Job Description

Harness is led by technologist and entrepreneur Jyoti Bansal, founder of AppDynamics (acquired by Cisco for $3.7B). The company has raised ~$240M in Series E venture funding, is valued at $5.5B, and backed by top investors including Goldman Sachs, Menlo Ventures, IVP, Google Ventures, J.P. Morgan, Capital One Ventures, Citi Ventures, ServiceNow, Splunk Ventures and more. Harness is building the industry’s leading AI-powered software delivery platform, enabling teams worldwide to build, test, and deliver software faster, safer, and more reliably. Writing code is only 30–40% of the engineering lifecycle — the rest involves testing, deployments, security, compliance, and optimization. Harness brings AI and automation to this outer loop, turning complex, time-consuming workflows into streamlined processes at massive global scale.

The platform includes industry leading products in CI/CD, Feature Flags, Cloud Cost Management, Service Reliability, Chaos Engineering, Software Engineering Insights, Internal Developer Experience, and API discovery, observability, governance, and runtime protection. Over the past year, Harness powered 128M deployments, 81M builds, 1.2T API calls protected, and $1.9B in cloud spend optimized, helping customers like United Airlines and Choice Hotels accelerate releases by up to 75% and achieve 10x DevOps efficiency. With employees in over 25 countries, Harness is shaping the future of AI-driven software delivery — and we’re looking for exceptional talent to help us move even faster.

Position Summary

We are looking for a Staff Software Engineer with deep expertise in distributed systems, microservices architecture, and cloud-native backend engineering. This role requires strong operational excellence, ensuring system reliability, scalability, and observability while driving best practices in incident management, performance tuning, and automation.

Key Responsibilities

System Architecture & Scalability

• Design & Build: Architect and develop scalable, fault-tolerant backend systems that handle millions of requests per second.
• Microservices Development: Implement microservices using Go, Java, or Python, ensuring high availability and resilience.
• Cloud & Kubernetes: Deploy and manage applications on AWS, GCP, or Azure with Kubernetes (EKS, GKE, AKS).
• Event-Driven Architectures: Work with Kafka, Pulsar, RabbitMQ for distributed messaging and streaming workloads.

Operational Excellence & Incident Management

• Reliability & Resilience: Implement best practices for graceful degradation, retries, circuit breakers, and auto-scaling.
• Incident Response & On-Call Management: Define SLAs/SLIs/SLOs, set up robust alerting & escalation processes for incident handling.
• Postmortems & RCA (Root Cause Analysis): Lead post-incident analysis, drive corrective actions, and improve system reliability.
• Observability & Monitoring: Define and implement logging, monitoring, and distributed tracing using Prometheus, OpenTelemetry, Grafana, Datadog.

Performance Optimization & Security

• Performance Tuning: Diagnose and optimize latency, throughput, and memory utilization for large-scale distributed systems.
• Multithreading & Concurrency: Design and implement highly concurrent, multithreaded backend services for parallel processing.
• Database & Storage Optimization: Improve performance of SQL (PostgreSQL, MySQL) and NoSQL (Cassandra, DynamoDB, Redis, MongoDB) solutions.
• Security & Compliance: Implement API security, authentication, authorization, and ensure compliance with SOC2, ISO 27001, PCI DSS.

Leadership & Collaboration

• Mentorship & Code Reviews: Guide engineers in best practices for platform engineering, microservices, and distributed systems.
• Cross-Team Collaboration: Work with cloud engineering, security, and product engineering teams to align platform capabilities with business needs.

About You

• 10 -14 years of experience in backend platform engineering, distributed systems, and microservices.
• Strong programming expertise in Go, Java, or Python, with a focus on multithreading and concurrency.
• Expertise in Kubernetes, service meshes (Istio, Linkerd), and cloud infrastructure.
• Deep understanding of gRPC, REST APIs, GraphQL, and API performance tuning.
• Hands-on experience with CI/CD and infrastructure automation (Terraform, Pulumi).
• Proven ability to manage production incidents and other operatonal excellence practices.
• Excellent debugging and problem-solving skills in complex, distributed environments.

Location

• US - Remote

What You Will Have at Harness

• Experience building a transformative product
• End-to-end ownership of your projects
• Competitive salary
• Comprehensive healthcare benefit
• Flexible work schedule
• Quarterly Harness TGIF-Off / 4 days
• Paid Time Off and Parental Leave
• Monthly, quarterly, and annual social and team building events
• Monthly internet reimbursement

Pay transparency

$181,000—$226,000 USD

Harness in the news:

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

Note on Fraudulent Recruiting/Offers

We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers.

Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations.

If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at [email protected] . You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission’s website ( , or you can contact your local law enforcement agency.

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