GAQ426R243
As a Staff Software Engineer, you will design, deliver, and manage complex, integrated platforms that combine traditional IT systems with modern full stack software and intelligent AI workloads. You’ll bridge diverse technologies, lead robust system deployments, and enable innovation across cloud, on-premises, and hybrid environments.
Join us to be the technical backbone enabling intelligent, integrated, and future-ready business solutions. Shape the next generation of infrastructure and AI, mentor top engineers, and play a leading role in innovation, resilience, and business transformation.
The impact you will have:
- Systems Architecture: Develop, document, and maintain scalable system architectures integrating AI/ML, cloud, hardware, and software components.
- Systems Integration: Ensure seamless integration of heterogeneous technologies—APIs, AI workloads, storage, networking, and CI/CD pipelines.
- AI/ML Deployment: Coordinate with data scientists to productionize models and manage model lifecycle, retraining, monitoring, and security.
- Full Stack Implementation: Guide or implement complex system solutions covering both front-end and back-end requirements, ensuring reliability and efficiency across the platform.
- Automation & Monitoring: Leverage automation, scripting, and monitoring tools for deployment, incident response, and performance optimization.
- Mentoring & Best Practices: Mentor engineers; establish reliable deployment, testing, and integration standards.
- Cross-Functional Collaboration: Partner with software, hardware, data, security, and business teams to define requirements and deliver business-ready solutions.
What we look for:
- 8–15+ years in systems engineering, with direct experience in AI/ML system deployment, enterprise-level architecture, or full stack engineering.
- Deep knowledge of both infrastructure (compute, storage, networking, cloud, containerization) and software (APIs, web/app development, security).
- Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch), MLOps, or deploying AI in production.
- Modern programming/scripting skills (Python, Bash, or similar) and automation tools.
- Proven ability to integrate and optimize systems across hardware, cloud, and applications.
- Strong leadership, mentoring, and cross-team communication skills.
- Preferred but not required:
- Exposure to regulated or mission-critical environments.
- Experience scaling platforms for AI, automation, and rapid product delivery.
- Recognized technical community leadership (publications, open source, talks, etc.).
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 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
