Databricks

Staff Software Engineer role focused on enhancing search ranking and query understanding for Databricks' AI/ML-powered products. The role involves developing and deploying ML-based search relevance models, designing NLP pipelines, and contributing to evaluation frameworks for search quality.

Databricks is seeking a Sr. Manager for their AI Forward Deployed Engineering (AI FDE) team. This customer-facing role involves leading professional services engagements to help customers build and productionize GenAI applications using Databricks. The manager will lead and scale the AI FDE team in India, recruit engineers, develop executive customer relationships, and drive strategic AI PS initiatives. The role requires deep technical expertise in ML/GenAI and experience managing high-performing AI/ML teams in cloud environments.

Databricks is seeking a Senior Staff Software Engineer for Search Quality to build the contextual backbone for AI agents and improve traditional search experiences. The role involves hybrid retrieval, dual-optimization of ranking models, ensuring high-stakes accuracy for AI, and handling data heterogeneity. The ideal candidate is an IR specialist with expertise in embeddings, ranking algorithms, and evaluation frameworks, bridging traditional IR with RAG.

Databricks is seeking a Staff Software Engineer for Search Quality to build and optimize the retrieval backbone for both AI agents and human users. This role involves hybrid retrieval (keyword and semantic search), dual-optimization of ranking models, ensuring high-stakes accuracy for AI grounding, and handling data heterogeneity. The engineer will apply IR principles to RAG systems and build evaluation frameworks for relevance metrics.

Databricks is seeking ML Engineers to enhance their AI/ML-powered Search product. The role involves developing and deploying ML-based search and discovery relevance models, designing ML/NLP pipelines for query understanding and ranking, and contributing to evaluation frameworks. Experience applying LLMs to search relevance and developing search relevance systems at scale is required.

Databricks is hiring ML Engineers for their Applied AI team to enhance search quality for their platform. The role involves developing and deploying ML-based search and discovery relevance models, building automated ML/NLP pipelines for data preprocessing, query understanding, ranking, retrieval, and model evaluation, and contributing to a robust framework for evaluating search ranking improvements. Experience applying LLMs to search relevance and developing search relevance systems at scale is required.

Databricks is hiring ML Engineers to enhance their Search product quality, focusing on search ranking, query understanding, and building robust evals. The role involves developing and deploying ML-based search and discovery relevance models and systems, designing ML/NLP pipelines, and collaborating with product teams. Experience with LLMs in search relevance and developing large-scale search relevance systems is required.

Seeking an experienced Resident Solutions Architect to work with strategic customers on data and AI transformation initiatives using the Databricks platform. The role involves serving as a trusted technical advisor and hands-on expert to solve complex big data challenges, with a focus on guiding customers in their AI initiatives.

Solutions Architect role at Databricks focused on advising clients on the Databricks Lakehouse Platform for data engineering, data science, and machine learning. Responsibilities include technical leadership, developing architectures, implementing proof of concepts, and collaborating with sales and product teams. Requires experience with Big Data technologies, cloud platforms, and coding in Python/Spark.

This role focuses on building and maintaining infrastructure and backend services for Databricks Labs, integrating AI capabilities into production systems. It involves extending the Databricks platform, supporting tooling efforts, and ensuring reliability and observability of these systems.

This role is for a Sr. Solutions Architect at Databricks who will act as a technical advisor to the sales team and advocate for customers. The primary focus is on helping customers leverage the Databricks Lakehouse Platform for data engineering, data science, and machine learning projects, and integrating it into their enterprise ecosystem. The role involves consulting on Big Data architectures, implementing proof of concepts, and collaborating with product and engineering teams to influence the platform's roadmap. Experience with Big Data technologies, cloud platforms, and coding in Python/Spark is required.

Delivery Solutions Architect at Databricks responsible for accelerating customer adoption and growth of the Databricks platform, focusing on post-sale technical leadership and ensuring customer success with Databricks workloads.

The Senior Solutions Architect will advise sales teams and customers on the Databricks Lakehouse Platform, helping them achieve data-driven outcomes. This role involves consulting on Big Data architectures, implementing proof of concepts for data engineering, data science, and machine learning projects, and collaborating with product and engineering teams to influence the platform's roadmap. The architect will also promote Databricks open-source projects.

Manager for a team of Solutions Architects in the Data & AI domain, focusing on large strategic customers in India. The role involves leading team expansion, building technical pre-sales capabilities, coaching team members, and positioning Databricks' solutions to customers and prospects.

Partner Solutions Architect role focused on enabling partners to leverage the Databricks Lakehouse Platform for data-driven outcomes, with expertise in data engineering or data science, and public cloud integration.

Director of Data & AI Support Engineering in Bangalore, leading a team focused on the resiliency and smooth operation of customer production workloads, resolving complex data engineering use cases, and optimizing performance for Databricks customers.

Databricks is seeking a Senior Software Engineer to lead the development of products for AI and data observability. This role involves building data infrastructure to process billions of entries daily, deploying globally, and enabling companies to manage their DevOps, FinOps, SecOps, and AIOps. The engineer will lead technical development, mentor others, optimize scalability and cost, and drive integrations.

Staff Software Engineer on the Data Platform team at Databricks, leveraging AI developer tools to build the Data Intelligence Platform for automating company-wide decision-making. Responsibilities include designing and running the platform, developing tooling for scale, partnering with engineering teams, building data pipelines, and representing Databricks at conferences.

Senior Analyst role focused on User Acceptance Testing (UAT) for the Order-to-Revenue tech stack, ensuring data integrity through SQL validation, managing defects, and supporting SOX compliance. This role collaborates with US-based teams and requires strong SQL and understanding of Order-to-Cash processes.

Network Automation Engineer responsible for designing, developing, and implementing automation solutions for network efficiency, scalability, and reliability using Python, Ansible, Terraform, and CI/CD pipelines. Focuses on scripting, provisioning, monitoring, and integration with broader infrastructure.

Databricks is seeking an experienced Senior Network Engineer to manage and scale campus network infrastructure and zero trust framework. The role involves designing and implementing highly available, redundant, and low-latency networks, developing network automation using Ansible and Terraform, and collaborating with security and compliance teams. Experience with SD-WAN, wireless solutions, and cloud network principles is required.

Sr. Big Data Engineer role focused on customer engagements using the Databricks Platform to solve big data challenges. Responsibilities include data engineering, data science, and cloud technology projects, building reference architectures, and guiding customers on implementing big data and AI applications. Requires extensive experience with Big Data technologies like Spark and Kafka, cloud platforms, and Python/Scala.

Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure. The role involves defining the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds. The engineer will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane, improving scalability, reliability, and efficiency. This is an org-wide role requiring hands-on technical leadership and the ability to influence architecture and execution across teams, solving novel, multi-cloud distributed systems challenges at massive scale.

Databricks is seeking an experienced Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure. This role will define the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds. The engineer will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane, improving scalability, reliability, and efficiency.

Senior Staff Software Engineer for Databricks' Engineering team, focusing on backend development for enterprise data and AI infrastructure products. The role involves full ownership of product or infrastructure direction, driving scalable solutions with business impact, and mentoring senior engineers. Requires deep expertise in large-scale distributed systems and experience preventing/investigating production issues.

Databricks is seeking a Sr. Staff/Staff Backline Technical Solutions Engineer to resolve complex customer escalations on the Databricks platform, acting as a bridge between support and engineering. The role involves troubleshooting, providing best practices, creating guides, contributing to automation, and identifying supportability features. Requires extensive experience in supporting applications, scripting, distributed big data computing, SQL databases, Linux, networking, and cloud services.

Engineering Manager for Databricks' Lakeflow Connect team in India, focusing on data ingestion into the Lakehouse from various sources. The role involves leading a team, managing technical debt, and collaborating with product leadership to build and operate scalable cloud services.

Databricks is seeking a Staff Software Engineer for their Backend, DDS, or Full Stack teams in Bengaluru, India. This role involves working on large-scale distributed systems, SaaS platforms, and service-oriented architectures, focusing on data and AI infrastructure. The engineer will contribute to building and running the company's data and AI platform, enabling customers to solve complex problems using data insights.

Databricks is seeking a Senior Software Engineer - Backend to build and scale infrastructure for their data and AI platform. The role involves developing foundational infrastructure, cloud-agnostic abstractions, and tools to enhance engineering efficiency, focusing on large-scale distributed systems and SaaS platforms.

Senior Software Engineer focused on backend systems and application frameworks for the Databricks platform, with a deep understanding of JVM internals, performance optimization, and distributed systems.

Databricks is seeking a Director of Engineering to lead critical infrastructure initiatives for their data and AI platform. This role involves building and operating distributed systems, driving efficiency, reliability, and automation, and integrating AI-driven tooling into the infrastructure. The ideal candidate will have extensive experience in large-scale cloud infrastructure, team management, and translating requirements into execution plans.

Director of Engineering for Data Infrastructure at Databricks, focusing on building and leading teams responsible for the reliability, correctness, and scalability of the company's monetization and data ingestion infrastructure. The role emphasizes architecting systems that handle petabytes of data and billions in daily transactions with extremely high accuracy and uptime requirements, positioning infrastructure as a product.

Databricks is seeking a Staff Backline Engineer to resolve complex customer escalations related to Apache Spark, Delta Lake, and Structured Streaming. This role involves deep code-level analysis, providing best practices, contributing to automation, and acting as a technical bridge between support and engineering. The ideal candidate has extensive experience in developing, testing, and sustaining Python, Java, or Scala applications, with a strong understanding of Spark internals and JVM-based troubleshooting.

This role is for a Director of Engineering focused on building and leading the data infrastructure organization at Databricks. The primary focus is on ensuring the reliability, correctness, and scalability of systems that handle petabytes of data and billions of daily transactions, particularly for billing and monetization. The role involves architecting foundational teams, defining infrastructure vision, and ensuring operational resilience and disaster recovery for critical business systems.

Databricks is seeking a Senior Software Engineer to join their team in Bengaluru, India. The role focuses on designing, developing, and optimizing application frameworks and core system infrastructure. The engineer will work with JVM internals, memory management, concurrency, and distributed systems, optimizing performance, reliability, and scalability. This is a senior role requiring 7+ years of experience and a deep understanding of JVM internals and systems-level programming.

Databricks is seeking a Director of Engineering to lead critical infrastructure initiatives for their data and AI platform. The role involves building and operating distributed systems, driving efficiency, reliability, and automation, and integrating AI-driven tooling into the infrastructure. The ideal candidate will have extensive experience in large-scale distributed systems, cloud infrastructure, and managing high-performing infrastructure teams.

Databricks is seeking a Staff Software Engineer with 15+ years of experience in core database internals and large-scale distributed systems to join their Lakeflow Connect team. This role focuses on building scalable and fault-tolerant data ingestion solutions for the Lakehouse platform, utilizing techniques like incremental data capture and log parsing. The engineer will be responsible for architecture design, technical leadership, and ensuring high availability and performance of data processing engines.

Databricks is seeking a Staff Software Engineer with 15+ years of experience in building and supporting large-scale distributed systems, particularly in core database internals and data ingestion. The role involves developing highly scalable and fault-tolerant data processing engines, focusing on techniques like incremental data capture and log parsing for enterprise applications and databases. The engineer will influence product roadmaps, lead technical projects, and mentor team members.

Databricks is seeking a Director of Engineering to lead their Lakeflow Connect organization in India. This role involves leading a team that builds data infrastructure, specifically focusing on providing ready-to-use connectors for various data sources to ingest data into the Lakehouse. The position requires experience in building and managing large-scale distributed systems and high-performance teams, with a focus on cloud platforms and cross-functional collaboration with product management.

Director of Engineering at Databricks, focusing on enhancing developer productivity and driving innovation in the developer platform space by integrating AI tools into the developer workflow. This role involves leading critical initiatives, managing technical debt, building and operating scalable cloud services, and growing engineering teams. The position requires extensive experience in large-scale distributed systems and cloud platforms, with a strong emphasis on leadership and cross-functional collaboration.

This role focuses on helping clients leverage the Databricks platform to solve big data challenges, providing expertise in data engineering, data science, and cloud technologies. The Resident Solutions Architect will work on customer engagements, build reference architectures, and guide customers in implementing data and AI applications.

The Sr. Data Analyst (Tableau) role focuses on supporting business teams with data, analysis, and reporting needs, troubleshooting the data intelligence warehouse, and guiding the business in acquiring and reporting new data. The role involves designing and supporting reporting needs using Tableau and other BI tools, collaborating with data engineers and business analysts, and analyzing business requirements for reporting and analysis.

Databricks is seeking a Senior Software Engineer to join their Partner Ecosystem team in Bengaluru, India. The role involves designing, developing, and maintaining SQL drivers and critical infrastructure components for partner integrations. The primary focus is on optimizing these connectors for performance and reliability, engaging with the open-source community, and collaborating with cross-functional teams to shape the future of partner integrations within the Databricks platform, particularly for Data Warehousing and Generative AI solutions.

Databricks is seeking a Senior Software Engineer for their Lakeflow Connect team, focusing on data ingestion into the Lakehouse. The role involves building scalable, fault-tolerant systems for extracting data from various sources, including OLTP systems, using techniques like incremental data capture and log parsing. The engineer will work on core database internals and large-scale distributed systems, contributing to architecture design, roadmap influence, and technical project leadership.

Databricks is seeking a Sr. Software Engineer for their Observability team in Bengaluru, India. The role involves developing observability solutions for large-scale distributed systems, focusing on logging, metrics, and tracing standards. Responsibilities include building tooling for metric emission, aggregation, and storage, contributing to the technical roadmap, participating in on-call rotations, and optimizing platform costs. Requires 7+ years of experience in languages like Python, Java, Scala, or C++ and familiarity with observability tools.

Databricks is seeking a Senior Backline Engineer (Platform) to support customers using their data and AI platform. This role involves troubleshooting complex technical issues, acting as a bridge between support and engineering, and contributing to product improvement and supportability features. The ideal candidate has extensive experience in distributed big data computing, scripting, Linux/network troubleshooting, and cloud services.

Databricks is seeking a Staff Software Engineer to own and redesign critical next-generation infrastructure for their Core Experiences Platforms Org. The role involves platformizing serving infrastructure to support current and emerging use cases (including AI), re-architecting systems for 10x-100x scale, and improving developer experience. The ideal candidate has 12+ years of production experience in large-scale distributed systems and SaaS platforms.

This role focuses on deep code-level analysis and troubleshooting of Apache Spark, Spark SQL, Structured Streaming, and Databricks Delta to resolve complex customer issues. The engineer will act as a technical bridge between support and engineering, provide best practices, contribute to automation, identify bugs, and coordinate issue resolution. Experience in developing, testing, and sustaining Python, Java, or Scala-based applications, navigating Spark source code, and Big Data/Hadoop/Spark/Kafka/Elasticsearch pipelines is required.