← All jobs · Databricks

Sr Software Engineer, Infrastructure

Databricks ·
55
AI-Agency
B55 U55
📍 San Francisco, US 🌐 Remote/hybrid 💰 $143K–$197K Senior 5+ yrs
PythonTerraformAWSKubernetesDockerDatadogGitHub ActionsKafka
TL;DR

Senior Software Engineer (Infrastructure) at Databricks building observability platforms and core infrastructure. Focus on AWS automation, Terraform, Kubernetes, and data pipeline integrations for internal IT operations.

Apply at Databricks →
share:
you'll be redirected to the company's career page

Job description

Senior Software Engineer, Infrastructure (L5)

GAQ127R160

Location: San Francisco, CA (Hybrid)

Team: IT Infrastructure and Operations

About the Role

At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth.

As a Senior Software Engineer (Infrastructure), you will be a core technical contributor on the IT Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a senior member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimized, secure, and highly available.

The Impact You Will Have

What We Look For

 

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.

 

Zone 1 Pay Range
$143,400$197,100 USD

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 TwitterLinkedIn 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 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.

Apply at Databricks →

More open roles at Databricks

Databricks 🔷 AI-first · 🔄 synced 1h ago
AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector
📍 US 🌐 Remote 💰 $180K–$248K 🛠 AI tools welcome at work · Senior
AI Forward Deployed Engineer at Databricks building GenAI solutions for U.S. federal government customers. Develop production-grade RAG, multi-agent systems, and LLM applications; serve as technical advisor and thought leader.
HuggingFaceLangChainDSPyPyTorchscikit-learnpandas
85
AI-core
Databricks 🔷 AI-first · 🔄 synced 1h ago
PhD GenAI Research Scientist Intern
📍 San Francisco, US 💰 $112K–$124K · Intern
PhD GenAI Research Scientist Intern at Databricks working on domain adaptation for LLMs and enterprise AI systems. Focus on fine-tuning, evaluation, retrieval augmentation, and efficient inference methods.
PyTorchLLMsretrieval augmentationsynthetic data
85
AI-core
Databricks 🔷 AI-first · 🔄 synced 1h ago
Specialist Solutions Architect - AI & ML (Communications, Media, Entertainment & Games)
📍 US 🌐 Remote 💰 $219K–$301K 🛠 AI tools welcome at work · Senior
Specialist Solutions Architect at Databricks building production-grade ML and AI applications on the Data Intelligence Platform. Focus on GenAI, MLOps, agentic systems, and customer technical guidance for enterprise deployments.
AWSAzureGCPHuggingFaceLangchainOpenAI
83
AI-core
Databricks 🔷 AI-first · 🔄 synced 1h ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 London, GB
AI Engineer (Forward Deployed) at Databricks building production GenAI applications for customers. Develops RAG, multi-agent systems, and LLM solutions using tools like LangChain and PyTorch, with focus on deployment and optimization.
LangChainPyTorchHuggingFaceDSPypandasscikit-learn
83
AI-core
Databricks 🔷 AI-first · 🔄 synced 1h ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 Singapore, SG 🛠 AI tools welcome at work · Mid
AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning for enterprise customers. Role involves customer engagement, technical advisory, and cross-functional collaboration with product and engineering teams.
PyTorchHuggingFaceLangChainDSPypandasscikit-learn
81
AI-core