Find Databricks Staff Software Engineer software engineering jobs

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Security Engineers are the first line of defense against malicious actors in the IT industry. They screen their company's critical IT infrastructure for weaknesses and create robust countermeasures to prevent future incidents. They must coordinate across departments and divisions to accomplish collaborative goals. 

**The Databricks Security Assurance Team enables Databricks to achieve third party certifications** in order to help secure Databricks and provide confidence to customers. As a **Staff Security Assurance Engineer**, you will be responsible for performing managing the ISMAP compliance program. You will be an individual contributor reporting to the Sr. Manager of the Security Assurance Team.

**The impact you will have:**
- Enable the sale of Databricks products to Japanese government agency customers by leading and maintaining Databricks' ISMAP certification efforts
- Enable new business by supporting gap assessments of new security compliance requirements
- Support other Security Assurance Team certifications, reports, and activities
- Support security compliance reviews of new features
- Ensure audit readiness and security compliance across the organization by working with other teams such as Engineering, IT, and HR

**What we look for:**
- Bachelor's degree in Computer Science or related field, or equivalent experience
- **8+ years of security experience** with at least 4 years of that in security compliance or security audits
- **Experience with ISMAP certification**
- Experience achieving security certifications
- Experience managing or conducting security audits
- Experience improving security compliance or security audit programs
- A comprehensive understanding of security controls across all domains
- A general understanding of key technical security controls in cloud environments (AWS, Azure, GCP)
- Experience working effectively across the spectrum of individual contributors and senior leadership within an organization
- **Native fluency in Japanese, both verbal and written**
- Ability to communicate effectively in Japanese in professional settings
- Excellent reading comprehension of complex Japanese texts
- Excellent writing skills in Japanese, including formal business correspondence
- Capability to interpret and translate between Japanese and English accurately

This role offers an opportunity to work with cutting-edge technology in a fast-paced environment, contributing to the security and compliance of a leading data and AI company. The position requires a blend of technical expertise, compliance knowledge, and strong communication skills, particularly in Japanese.

Staff Security Assurance Engineer - Compliance at Databricks, managing ISMAP compliance program and enabling third-party certifications.

Staff Security Assurance Engineer - Compliance

Databricks is hiring a Senior Staff Machine Learning Engineer to play a key role in building our Generative AI platform and products, and in developing our team of software engineers. 

You will:
- Serve as a technical lead, overseeing and supervising projects and engineers on the team.
- Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies
- Drive our technology vision and roadmap
- Establish software development best practices, and lead by example in applying them
- Develop our engineering organization and culture through hiring, mentoring, and feedback.

We look for:
- 8+ years of hands-on programming experience with at least one modern language such as Python, Go, or C++
- 8+ years of experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools
- Strong sense of software design and usability of ML systems
- Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security.
- Prior experience in developing public cloud services or open source ML software is an advantage.

We value candidates who are curious about all parts of the company's success and are willing to learn new skills and technologies along the way.

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $232,000 - $313,000 USD and represents base 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.

Databricks is hiring a Senior Staff Machine Learning Engineer to lead the development of their Generative AI platform and products, requiring 8+ years of experience in programming and large-scale distributed systems.

GenAI Senior Staff Machine Learning Engineer, Platform

Founded in late 2020, MosaicML enables companies to securely fine-tune, train and deploy custom AI models on their own data. Now part of Databricks since July 2023, we are passionate about enabling our customers to solve the world's toughest problems. As a GenAI Staff Machine Learning Engineer for AI Runtime, you will:

- Design and productionize state-of-the-art tooling and open source technologies for frontier foundation models
- Solve complex problems at scale around data preprocessing, model training, hyperparameter tuning, and model evaluation
- Implement advanced optimization techniques to reduce resource footprint while preserving performance
- Collaborate with cross-functional teams to drive technology-first initiatives
- Facilitate user community through documentation, talks, tutorials, and collaborations
- Contribute to the AI community through research, conferences, and open-source projects

We look for candidates with:
- Hands-on experience with deep learning frameworks and GenAI models
- Experience with large-scale, distributed training on GPUs and alternative accelerators
- Strong sense of design and usability
- Effective communication skills
- Prior history of contributing to open source projects is a bonus

Join us in building the world's best data and AI platform to empower customers with deep data insights and cutting-edge AI capabilities.

Join Databricks as a GenAI Staff Machine Learning Engineer to design and build cutting-edge AI tools and technologies, solving complex problems at scale and contributing to the AI community.

GenAI Staff Machine Learning Engineer, AI Runtime

Databricks is seeking an experienced Staff Technical Writer for their Data Engineering team. This role is perfect for someone who deeply understands the engineering audience and has extensive experience with cloud platforms. The ideal candidate will have 5+ years of technical writing experience in cloud services, with a background in technical writing, product management, developer relations, or support engineering.

Key responsibilities include:
- Developing comprehensive technical content and code examples for Databricks products, focusing on data engineering and developer customers
- Creating and driving technical content strategies and documentation site features
- Mentoring junior writers and peers
- Setting high standards for technical content to inform and inspire customers

Requirements:
- 5+ years of technical writing experience with cloud services
- Strong technical writing skills and experience in content design and information architecture
- Experience with content analytics and leadership skills
- Familiarity with data ingestion and streaming platforms (ideally Apache Spark™)
- 2+ years of coding experience in Python or Java/Scala
- DevOps experience

This role offers an opportunity to work with cutting-edge data and AI technologies, contributing to Databricks' mission of unifying and democratizing data, analytics, and AI for over 10,000 organizations worldwide. The position is based in Seattle, Washington, with a competitive salary range of $107,500 - $190,000 USD.

Databricks offers a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) plan, equity awards, flexible time off, parental leave, and various wellness programs. Join a dynamic team that's shaping the future of data intelligence and make a significant impact in the world of cloud data services.

Staff Technical Writer position for Data Engineering at Databricks, focusing on creating technical content for cloud-based services.

Staff Technical Writer, Data Engineering

Databricks is the data and AI company that enables data teams to solve the world's toughest problems by building and running the world's best data and AI infrastructure platform.

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Data Engineering is one of the fastest growing product areas of the Databricks Lakehouse platform. We are innovating towards simple data ingestion, real-time stream processing, and a declarative framework and experience for ETL. In this role, you will lead product management for a core Data Engineering area. You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing. In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databricks product portfolio including data science, data warehousing, and machine learning products.

The impact you will have:
- Lead product management for one of the fastest growing businesses at Databricks
- Make company wide impact by driving Data Engineering across the Databricks product portfolio
- Develop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industry
- Define, shape, and drive the future of data processing, data applications, and data pipelines
- Own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market.

What We Look For:
- 5+ years of product management and related experience with enterprise or SaaS products.
- Educational or professional background in computer science or related engineering fields.
- Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts.
- Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.)
- Analytical skills to make data-driven decisions (e.g. analyze product usage)
- Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal form
- A background in Data Engineering is a plus but not required.

Databricks is committed to fair and equitable compensation practices. The pay range for this role represents base 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. Join us to lead product management for one of the fastest-growing areas at Databricks and shape the future of data processing and AI!

Lead product management for core Data Engineering at Databricks, driving vision, strategy, and execution for one of the fastest-growing product areas.

Sr. Product Manager, Data Engineering

Databricks is the data and AI company that enables data teams to solve the world's toughest problems, from security threat detection to cancer drug development.

Databricks is seeking a Staff Software Engineer to join their Runtime team, focusing on distributed data systems. This role is crucial in building the next generation of distributed data storage and processing systems that power Databricks' data and AI platform.

As a Staff Software Engineer, you'll be at the forefront of developing systems that outperform specialized SQL query engines in relational query performance while providing the expressiveness and programming abstractions to support diverse workloads from ETL to data science. You'll work on cutting-edge projects like Apache Spark™, Data Plane Storage, Delta Lake, Delta Pipelines, and Performance Engineering.

The ideal candidate will have 8+ years of production-level experience in Java, Scala, or C++, with a strong foundation in algorithms, data structures, and distributed systems. You should be comfortable working towards long-term visions while delivering incremental value, and be driven by customer impact.

Databricks offers a comprehensive benefits package, including health coverage, equity awards, and opportunities for personal development. The company culture is focused on innovation, collaboration, and solving complex data and AI challenges at a global scale.

Join Databricks to be part of a team that's shaping the future of data and AI technology, working with a platform that processes exabytes of data daily and serves thousands of organizations worldwide. If you're passionate about distributed systems, big data, and building high-performance, scalable solutions, this role offers an exciting opportunity to make a significant impact in the field.

Join Databricks as a Staff Software Engineer to build next-gen distributed data systems, working on Apache Spark™, Delta Lake, and more. 8+ years exp. required.

Databricks Staff Software Engineer Software Engineering Jobs

Find Databricks Staff Software Engineer software engineering jobs