Similar Jobs
Position Summary
Harness Software Engineering Insights helps engineering leaders unlock metrics and insights to understand bottlenecks in their SLDC and drive efficiencies. It works by connecting to 40+ SDLC tools and correlates data from these different tools to surface insights and metrics. The central product experience asks users to authorize with their SDLC tools (JIRA, GitHub) using token authentication. It then ingests data from the cloud application and analyzes the data. The customer can then create different out of the box widgets to surface actional topical insights. The widget configuration allows the user to select filters, how they want to aggregate the data and how to customize the visualization
This is an opportunity to join a high growth team at a high growth company. Join this group of software engineers on the bleeding edge of solving computer science problems.
About The Role
- Design, develop, deploy and maintain critical software in a fast-paced quality conscious Java environment.
- Author software functional specifications and design documents for features developed.
- Quickly understand complex systems/code and own key pieces of the system, including the delivered quality
- Work in an agile environment, using iterative development cycles and a short customer feedback loop
- Design and implementation of scalable backend software solutions
- Diagnose and troubleshoot complex problems in a distributed computing environment.
- Perform peer reviews of specifications, design, and code
- Quickly understand complex systems/code and own key pieces of the system, including the delivered quality
- Work alongside Site Reliability Engineers/DevOps and cross functional teams to deploy software or diagnose/troubleshoot any production related issues
About You
- 8-10+ years of experience developing highly scalable, distributed applications, products, and backend services using Java
- A desire to build products that solve complex technical problems for end users
- Experience with relational databases like MySQL, PostgreSQL
- Experience with SQL query tuning, performance optimizations is a plus
- Experience with search frameworks like Elasticsearch, SOLR is a plus
- Experience with applications hosted on AWS/Azure/GCP is a plus
- Familiarity with Docker and CI/CD processes is a plus
- Deep understanding of how distributed resilient software is built and deployed
- Excellent problem solving and debugging skills
- Experience working in short release cycles
Location
The successful candidate will be asked to come into Harness' Mountain View, CA office 3 times per week.
What You Will Have at Harness
- Competitive salary
- Comprehensive healthcare benefits
- Flexible Spending Account (FSA)
- Employee Assistance Program (EAP)
- Flexible Time Off and Parental Leave
- Quarterly Harness TGIF-Off / 4 days
- Monthly, quarterly, and annual social and team-building events
- Recharge & Reset Program
- Monthly internet reimbursement
- Commuter benefits
The anticipated base salary range for this position is $225,000 - $250,000 annually. Salary is determined by a combination of factors including location, level, relevant experience, and skills. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. The compensation package for this position may also include equity, and benefits. More details about our company benefits can be found at the following link: https://www.harness.io/company/careers.
A valid authorization to work in the U.S. is required
- Harness Grabs a $150m Line of Credit
- Welcome Split!
- SF Business Times - 2024 - 100 Fastest-Growing Private Companies in the Bay Area
- Forbes - 2024 America's Best Startup Employers
- SF Business Times - 2024 Fastest Growing Private Companies Awards
- Fast Co - 2024 100 Best Workplaces for Innovators
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 (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency.
Harness San Francisco, California, USA Office
We are located in the SoMa district of San Francisco. Situated near all major transport hubs with plenty of local bars and restaurants nearby.
Harness Mountain View, California, USA Office
444 Castro Street, Suite 1200, Mountain View, California, United States, 94041
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine