Role at a glance
- Salary
- $166K – $225K/yr
- Location
- Mountain View, California, United States San Francisco, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
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Role Summary
The Senior Full-Stack Software Engineer will develop the front-end and back-end components of a GenAI observability and quality product. The role contributes to intuitive user experiences, scalable backend systems, and tools that provide monitoring, insights, and quality improvements for GenAI systems.
What You'll Do
- Design, develop, and maintain front-end and back-end components of web applications.
- Collaborate with design teams to create visually appealing, user-friendly, and accessible UI/UX.
- Architect, design, and implement RESTful APIs and microservices.
- Work with product managers, designers, and engineers, and mentor junior developers.
- Write clean, maintainable, and well-documented code and ensure reliability through testing.
- Monitor and optimize front-end and back-end performance.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
5+ years of experience with HTML, CSS, and JavaScript; experience with modern JavaScript frameworks such as React, Angular, VueJs, or Ember; 5+ years of experience with server-side web technologies such as Java, Python, Scala, or Go; good knowledge of SQL; experience with cloud technologies such as AWS, Azure, GCP, Docker, or Kubernetes; experience developing large-scale distributed systems; deep understanding of front-end architecture.
Required
- HTML
- CSS
- JavaScript
- Modern JavaScript frameworks
- Server-side web technologies
- SQL
- Cloud technologies
- Large-scale distributed systems
Preferred
- Passion for user experience and design
- Comfortable working towards a multi-year vision with incremental deliverables
- Motivated by delivering customer value
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P-160
Who We Are
Our GenAI observability and quality product provides advanced monitoring and insights for GenAI systems, giving customers real-time visibility into their system's performance, along with a suite of tools to improve the quality of the GenAI systems. With features like real-time alerts, detailed logging, and anomaly detection, customers can quickly identify and fix issues that affect the quality of their GenAI systems. This is a great opportunity to use next-gen tools for continuous monitoring, testing, and feedback, while applying cutting-edge technologies like AutoML/AutoRag, LLM fine-tuning, Prompt Optimization and Automation to improve the performance and quality of GenAI systems.
We are looking for a passionate and experienced Senior Full-Stack Software Engineer to join our dynamic team. This role will offer you the opportunity to contribute to both the front-end and back-end development of our product, while also allowing you to bring your strong product sense and UI/UX design expertise to life. The ideal candidate will have a solid track record in full-stack development, with the ability to design and implement intuitive and engaging user interfaces, as well as architect scalable and efficient backend systems.
What You’ll Do
- Full-Stack Development: Design, develop, and maintain both front-end and back-end components of our web applications.
- UI/UX Design: Collaborate with design teams to create visually appealing, user-friendly, and accessible UI/UX. You’ll ensure the product provides a seamless experience from end to end.
- Backend API Development: Architect, design, and implement RESTful APIs and microservices to support the application.
- Collaboration & Mentorship: Work closely with cross-functional teams including product managers, designers, and other engineers. Mentor junior developers and share knowledge of best practices in both UI/UX and back-end development.
- Product Sense: Contribute to product strategy by offering insights based on technical feasibility and user experience considerations.
- Code Quality & Testing: Write clean, maintainable, and well-documented code. Ensure the reliability and performance of all components with rigorous testing.
- Performance Optimization: Continuously monitor and optimize performance, both for the front-end and back-end.
- Agile Development: Participate in agile ceremonies, including sprint planning, standups, retrospectives, and code reviews.
What we look for:
- 5+ years of experience with HTML, CSS, and JavaScript.
- Passion for user experience and design and a deep understanding of front-end architecture.
- Comfortable working towards a multi-year vision with incremental deliverables.
- Motivated by delivering customer value.
- Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).
- 5+ years of experience with server-side web technologies (eg: Java, Python, Scala, Go).
- Good knowledge of SQL.
- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
- Experience developing large-scale distributed systems.
Why Join Us?
- Work on AI-powered features that directly impact thousands of data practitioners all over the world.
- Collaborate with a world-class team at the intersection of AI, data, and cloud computing.
- Build innovative solutions in a fast-moving, high-growth environment.
- Ready to shape the future of the Data Intelligence Platform at Databricks? Apply now!
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.