USD per year
Senior Software Engineer (Money)
Bengaluru, India P-1346 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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies, timely & accurate billing,cost optimization tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent experience set of platforms for all Databricks products to reach customers. As one of the first engineers for Money at Databricks India, you will be key to building a base for one of Databricks’ most central engineering teams. You will own critical components that form the backbone of our products, starting with Databricks’ resource admission control and usage governance infrastructure. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialization motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers.
The impact you will have:
- Own Money systems and services that govern usage of all Databricks products and offerings.
- Enhance engineering and infrastructure efficiency, reliability, accuracy,
and response times including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
- Collaborate with platform and product teams to develop
and implement innovative infrastructure that scales to meet evolving needs.
- Contribute to long-term vision and requirements development for Databricks products,
in partnership with our engineering teams.
What we look for:
- BS (or higher) in Computer Science or a related field
- 7+ years of production level experience in one of: Java, Scala, C++, or similar language
- Comfortable working towards a multi-quarter vision with incremental deliverables
- Proven track record in architecting,
developing, deploying, and operating components of large scale distributed systems
- Experience with software security and systems that handle sensitive data
- Demonstrated ability to lead engineering projects across functional and organizational boundaries
- A proactive approach and a passion for delivering high-quality solutions
- Experience with cloud technologies e.g., AWS,
Azure, GCP, Docker, Kubernetes
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Cond 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 Spark14C Delta Lake and MLflow. To learn more follow Databricks on Twitter LinkedIn 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 benefits offered in your region click here.
Diversity Commitment & Accessibility Statement
Databricks values diversity at our company. We do not discriminate based on race or ethnicity; national origin; gender identity or expression; age; disability; or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities upon request during our application process. Please let us know if you require assistance or accommodation due to a disability during your application process by contacting us at accommodations@databricks.com . We also provide reasonable accommodations related to religious observances upon request during our application process. Please let us know if you require assistance or accommodation due to religious observances during your application process by contacting us at accommodations@databricks.com . We encourage applicants who require accommodations due to disabilities or religious observances to please contact us so we can make arrangements accordingly. We are committed to creating an inclusive environment where everyone feels welcome regardless of background or identity. We believe diverse perspectives lead to better innovation which ultimately benefits our customers worldwide. If you need assistance or accommodation during your interview process please contact us at accommodations@databricks.com . Thank you for considering joining our team!
Compliance Note about Export Controlled Technology Access:
Certain roles within Databricks may require access to export-controlled technology subject to U.S. export control laws including EAR/EAR99 regulations administered by BIS/Commerce Department & ITAR regulations administered by DDTC/State Department. Applicants must be U.S. persons (U.S. citizens or lawful permanent residents) unless otherwise authorized by BIS/DDTC prior authorization approval process prior employment start date. Applicants who are not U.S persons may not be eligible for certain roles requiring access/export controlled technology access until authorization obtained per applicable laws/regulations/policies/procedures/processes/requirements/controls/agreements/contracts/licensing/authorizations/exemptions/exceptions/exclusions/restrictions/limitations/conditions/terms/criteria/guidelines/policies/procedures/processes/requirements/controls/agreement/contracts/licensing/authorizations/exemptions/exceptions/exclusions/restrictions/limitations/conditions/terms/criteria/guidelines . Applicants should disclose citizenship status accurately during application process & interview stages as part compliance requirements related export controlled technology access roles within company/databricks . Failure accurate disclosure citizenship status may result disqualification employment offer termination employment agreement post hire date . Applicants should consult legal counsel regarding questions related export controlled technology access requirements . Databricks reserves right modify update policies procedures related export controlled technology access roles without notice . Applicants should review policies procedures carefully prior applying roles requiring export controlled technology access within databricks . such roles typically involve sensitive technical information proprietary technology intellectual property trade secrets confidential information subject export control laws regulations policies procedures processes requirements controls agreements contracts licensing authorizations exemptions exceptions exclusions restrictions limitations conditions terms criteria guidelines policies procedures processes requirements controls agreement contracts licensing authorizations exemptions exceptions exclusions restrictions limitations conditions terms criteria guidelines . such roles require strict compliance confidentiality obligations nondisclosure agreements intellectual property rights protection obligations applicable laws regulations policies procedures processes requirements controls agreements contracts licensing authorizations exemptions exceptions exclusions restrictions limitations conditions terms criteria guidelines policies procedures processes requirements controls agreement contracts licensing authorizations exemptions exceptions exclusions restrictions limitations conditions terms criteria guidelines . such roles may require background checks security clearances government approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approvals certifications registrations licenses permits authorizations approval ...
Databricks is a data and AI company that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded by the original creators of Apache Spark, it offers a cloud-based platform for building, deploying, and maintaining enterprise-grade data and AI solutions at scale.
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