Position Summary
About the role
- Build distributed, high-volume data pipelines to power new product features based on analytics and statistics using cutting-edge technologies and data warehouse solutions across a multi-cloud environment (AWS, Azure, and Google Cloud)
- Collaborate with data scientists, designers, product managers and software engineers to build an amazing experience for our customers.
- Co-own and contribute to meaningful parts of our service, have an impact, and grow with the company.
- Own service operation in production, including participating in on call rotation.
- Regularly perform code reviews, pair/mob programming sessions, and collaborative design workshops.
About you
- 6+ years of professional software engineering and programming experience.
- 2+ years of architecture and design (patterns, reliability, scalability, quality) of complex systems.
- Strong English written and verbal communication skills, capable of working in a distributed team in both an asynchronous and synchronous environment.
- Experience building and operating data pipelines at scale for real customers in production systems.
- Fluent in several programming languages, particularly Java and SQL.
- Experience in operating and maintaining production-grade software.
Work Location
Argentina
What you will have at Harness
- Competitive salary
- Flexible work schedule
- Flexible Time Off and Parental Leave
- Monthly, quarterly, and annual social and team building events
Harness in the news:
- Harness Grabs a $150m Line of Credit
- Welcome Split!
- Harness Recognized in Inc.'s Best Workplace Awards 2022
- Harness on LinkedIn: America's Great Companies to Work For -- And What You Can Learn From
- #6 - Glassdoor Best Places to Work 2021 list
- #17 on Forbes Top 50 Cloud Companies to Work For
- #47 on LinkedIn’ Top 50 Companies to Work For
- #2 on Quartz 2021 list best places to work for remote workers
- 2021 Career Launching Companies List
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.
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