Director of Engineering - Service Foundations

CSQ227R231 Mission The Director of Support Engineering for Data & AI based in Bengaluru will spearhead the development and management of a premier team of technical experts in Data & AI, dedicated to ensuring the resilience and seamless operation of customer production workloads. This leadership role will oversee support operations during APJ and EMEA business hours, ensuring continuous support coverage by collaborating with global teams across different regions. The team will address complex, long-standing data engineering challenges faced by Databricks customers to enhance their live use cases—covering aspects such as performance optimization, production job stability, and assisting customers in adapting to new products and features. Reporting to the Global Lead of Frontline Support Engineering - Data & AI, this role requires a deep understanding of the real-world business challenges our customers encounter with data, along with a strong commitment to aiding them in achieving reliable and high-performing systems to fulfill their objectives.

About Nightfall:Nightfall is an innovative, AI-driven platform focused on data loss prevention and insider risk management, safeguarding sensitive information across various SaaS applications, Generative AI tools, email systems, endpoint devices, and beyond. Trusted by hundreds of clients, from groundbreaking AI startups to major financial institutions, Nightfall excels at detecting and halting data exfiltration on a large scale. Our platform empowers organizations to innovate without the fear of losing intellectual property or jeopardizing customer information. With automated remediation capabilities, security violations are addressed proactively before escalating into incidents, while end-users receive real-time training and support to rectify any violations they may introduce.Backed by top venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, Nightfall is further strengthened by cybersecurity veterans including Enrique Salem (former CEO of Symantec), Frederic Kerrest (founder of Okta), and others.About the Role:We are seeking an outstanding technical leader to join our dynamic team at Nightfall. In the capacity of Lead Applied Scientist within the AI Engineering division, you will be responsible for developing machine learning and natural language processing models, as well as Generative AI solutions to enhance our Data Leak Protection (DLP) and other security offerings. You will spearhead efforts in researching and implementing machine modeling techniques to address security challenges, providing mentorship to both ML and Backend engineers as they move systems into production. Your contributions will be vital in shaping the long-term architecture of our AI Platform.This is a hybrid position (2 days in the office) based in our Bengaluru office, offering an ideal opportunity to pursue your passion for Data Science and ML engineering.Responsibilities:Engage in fast-paced, hands-on execution, collaborating with the team to achieve clear business objectives and deliver results effectively.Employ creative statistical and machine learning modeling techniques to address complex problems in enterprise security and data leak detection, researching the most accurate and cost-efficient solutions.Develop, train, and optimize NLP, large language, and other models for deployment in extensive, real-time environments.Collaborate with the team to transition model prototypes into production through all phases of the ML lifecycle: system architecture, data generation, training, and deployment.

Role Overview Sixt SE is hiring an AI Data Engineer III in Bengaluru, Karnataka. This position plays a key part in strengthening AI capabilities through advanced data engineering. The engineer will support data-driven decision-making by building and refining the data infrastructure that powers machine learning projects. What You Will Do Develop, maintain, and optimize data pipelines and architectures for AI and machine learning use cases Collaborate with cross-functional teams to ensure data solutions meet business and technical requirements

(P-1490) At Databricks, we process vast amounts of data, managing petabytes and billions of transaction events each day. Our infrastructure is critical; every cluster launch, query executed, and dollar billed must function flawlessly. With stringent accuracy requirements of 99.999% for billing transactions and the ability to ingest terabytes of data per second across over 100 regions, the stakes are high. A mere five-minute outage can lead to significant revenue loss and erode customer trust. Therefore, our infrastructure is not just important—it is essential for our survival. As we scale, the next phase of our growth demands that we establish disaster recovery systems that ensure reliability, not just hope for it. We need testing frameworks that can identify production-scale issues before they affect our users, correctness guarantees that eliminate billing errors, and automation that scales operations efficiently alongside growth. In this pivotal leadership role, you will spearhead the development of the data infrastructure organization that underpins Databricks' ongoing expansion. You will lay the groundwork for teams in Bengaluru, responsible for the foundational systems that assure billing accuracy, operational resilience, and zero-downtime recovery across our monetization stack. This encompasses multi-region data ingestion, developer platforms, and deployment automation that streamline operations at petabyte scale. Your mission transcends mere maintenance; it involves architecting the infrastructure that allows Databricks to grow while alleviating operational burdens. You will define the standards for world-class infrastructure that will serve data platforms for the next decade. In your role as a founding technical leader in our rapidly growing engineering hub, you will collaborate closely with global infrastructure leaders. Beyond building exceptional teams, you will influence architectural decisions that resonate throughout the organization and advocate for an infrastructure-as-product mindset that transforms infrastructure into a global force multiplier. You will thrive in an engineering culture rooted in Apache Spark and open source, where technical expertise is highly valued and infrastructure engineers are regarded as skilled artisans. The ideal candidate has previously built infrastructure organizations in environments where achieving five nines was not merely a goal but a reality, where petabyte-scale operations were a daily expectation, and where the technical strength of the infrastructure team determined business scalability. You possess the technical expertise to engage in discussions about data architecture, the strategic insight to shape multi-year platform roadmaps, and the leadership ability to create teams that attract top-tier engineers. Most importantly, you believe that effective data infrastructure not only supports the business but also defines its potential.

About Nightfall AI:Nightfall AI is an innovative platform at the forefront of data loss prevention and insider risk management, designed to safeguard sensitive information across a wide range of applications including SaaS tools, email, endpoint devices, and generative AI technologies. Trusted by hundreds of clients, from pioneering AI companies to the world's leading financial institutions, we empower organizations to pursue innovation without compromising on data security. Our cutting-edge platform automates data loss prevention, allowing security teams to focus on strategic initiatives while automatically addressing violations before they escalate into incidents.Supported by prominent venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and esteemed cybersecurity leaders, Nightfall AI is positioned for rapid growth and innovation.About the Role:We are looking for a dedicated and talented AI Engineer to join our dynamic AI Engineering team at Nightfall AI. You will collaborate with a team of exceptional engineers to design, develop, and optimize the AI models that are integral to our security solutions. This role offers the opportunity to work on the architecture and scalability of systems that underpin these models.If you have a passion for tackling complex challenges, experimenting with natural language processing architectures, and diving deep into system internals to create impactful solutions, this is an exciting opportunity to join us early in our journey and accelerate your career growth. Key ResponsibilitiesDevelop and deploy AI systems that enhance Nightfall's security offerings.Utilize Python for data analysis, experimentation with natural language and other model architectures, model benchmarking, and automation of training and deployment processes.Employ Go to create microservices that efficiently handle data ingestion and processing at scale, leveraging advanced streaming infrastructure and distributed caching techniques.Engage in cross-functional collaboration to enhance the performance and capabilities of our products.

(P-1384) At Databricks, we manage vast amounts of data, processing petabytes and billions of transaction events daily. Every cluster launch, every query executed, and every dollar billed flows through a robust infrastructure that is crucial for our operations. With requirements for 99.999% billing accuracy and the ability to ingest terabytes per second across over 100 regions, our infrastructure is not just important; it's vital. A five-minute outage can translate into millions lost in revenue and customer trust, making it essential that we build disaster recovery systems that demonstrate reliability, testing frameworks that identify production-scale issues before deployment, and automation that allows us to scale operations efficiently. In this pivotal leadership role, you will spearhead the development of the data infrastructure organization that will support Databricks' ongoing growth. You will establish foundational teams in Bengaluru responsible for the critical systems that ensure billing accuracy, operational resilience, and zero-downtime recovery across our entire monetization stack. This includes managing multi-region data ingestion, developer platforms, and deployment automation that smoothens processes at petabyte scale. This role is about architecting the future infrastructure that enables Databricks to expand while alleviating operational burdens. As a foundational technical leader in our rapidly growing engineering hub, you will collaborate strategically with global infrastructure leaders. Besides building exceptional teams, you will influence architectural decisions across the organization and promote an infrastructure-as-product mindset that transforms infrastructure into global force multipliers. You will thrive within an engineering culture rooted in Apache Spark and open source principles, where technical excellence is celebrated and infrastructure engineers are regarded as artisans. The ideal candidate has successfully built infrastructure teams in environments where five nines were not merely aspirational, where handling petabyte-scale data was a regular occurrence, and where the technical capabilities of the infrastructure team played a critical role in the organization's scalability. You possess the technical acumen to engage in data architecture discussions, the strategic foresight to outline multi-year platform roadmaps, the ability to cultivate teams that attract top engineering talent, and, above all, the conviction that well-executed data infrastructure does not just support a business; it defines its potential.

(P-1384) About the Team At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems—from realizing the next mode of transportation to speeding up medical advancements. We achieve this by developing and operating the world’s most advanced data and AI infrastructure platform, enabling our customers to leverage deep data insights for business enhancement. Our company, founded by engineers with a passion for customer satisfaction, embraces every opportunity to confront technical challenges, whether it’s designing next-generation UI/UX interfaces for data interaction or scaling our services across millions of virtual machines. And we are just getting started. In this pivotal role, you will collaborate closely with leaders across various departments including engineering, product management, field engineering, recruiting, and HR. You will spearhead essential infrastructure initiatives that construct and manage distributed systems, enhancing efficiency, reliability, and automation across the organization. You’ll influence the development of future systems by integrating AI-driven tools directly into the infrastructure, making it more adaptive, scalable, and intelligent.

Role Overview Western Digital is hiring a Director of AIML for the Enterprise Data & AI Team in Bengaluru. This leadership role focuses on guiding AI and machine learning projects that support enterprise data solutions. The Director will play a central part in defining AI strategies and strengthening the team’s data capabilities.

P-1385 In today's landscape, businesses are channeling substantial investments into the development and implementation of AI technologies and the data platforms that support them. However, do they truly understand the intricacies of their operations? At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging global issues, from revolutionizing transportation to expediting medical innovations. We achieve this by constructing and maintaining the world's premier data and AI infrastructure platform, enabling our clients to leverage deep data insights to enhance their operations. Founded by engineers who prioritize customer satisfaction, we eagerly embrace every opportunity to confront technical challenges, including designing next-generation UI/UX for data interaction and optimizing our services across millions of virtual machines. And this is just the beginning. As a Senior Software Engineer on the Customer Foresight Team, you will spearhead the development of tools that empower customers to gain insights into their AI and data workloads, optimize performance, and reduce costs. You will craft data infrastructure capable of processing billions of entries daily, deploy across over 65 cloud regions globally, and support some of the world's most prominent companies in executing their DevOps, FinOps, SecOps, and AIOps operations. This role involves directing technical development throughout product milestones, from requirement refinement to execution, operation, and collaboration with the broader product development and partner teams to guarantee product success.

Join a leading team focused on innovation in AI technology!We are looking for an accomplished Director of Conversational AI Engineering to shape the future of AI-driven products for one of our prestigious clients at Weekday-1. With a competitive salary range of INR 1,00,000 - 2,00,000 per month, this full-time role is based in Bengaluru, Karnataka.This pivotal position involves crafting and executing a comprehensive conversational AI strategy, enhancing prompt engineering, and ensuring exceptional AI interactions across various applications. The ideal candidate will have a robust technical background in Natural Language Processing (NLP) and large language models, coupled with exemplary leadership skills to guide a talented team of engineers.

Join gsstech-group as a Senior Data Engineer within our dynamic Data Engineering chapter in the Technology Platform domain. We seek a talented individual with a robust background in real-time data streaming, contemporary data platforms, and the operationalization of AI/ML technologies (AIOps, MLOps, LLMOps).In this pivotal role, you will design, build, and optimize scalable data pipelines that empower advanced analytics and AI-driven solutions.

(P-1384) About the Team At Databricks, we are dedicated to empowering data teams to tackle some of the world's most significant challenges—from bringing forth the next mode of transportation to fast-tracking medical innovations. Data ingestion into the Lakehouse is a crucial investment area for Databricks, serving as a fundamental enabler for Data and AI workflows. The Lakeflow Connect team is focused on addressing this challenge by offering ready-to-use, user-friendly connectors for a diverse array of data sources, including enterprise applications (such as Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files. As a pivotal component of Lakeflow and Data Engineering, Connect also represents a vital platform capability. Every facet of Databricks (Dashboards, Notebooks, SQL, AI) relies on ingestion capabilities, and the individual in this role will collaborate closely with other products to integrate Connect seamlessly into these platforms. We are seeking a seasoned leader to manage our Connect organization in India. This presents a fantastic opportunity to spearhead a key strategic initiative for Databricks. The ideal candidate will have a proven track record in leading teams that develop Data infrastructure and possess a keen interest in managing product-centric organizations. Additionally, the ability to effectively collaborate across time zones and organizational boundaries is essential. The impact you will have: Address significant business needs on a large scale by leveraging your software engineering expertise. Guarantee consistent milestone delivery and align closely with the field while working collaboratively with product leadership. Adapt the organizational structure to align with long-term initiatives, fostering robust teams with effective communication architecture. Oversee technical debt management, including long-term architectural decisions, while balancing the product roadmap. Engage in and lead technical, product, and design discussions. Build, manage, and operate highly scalable cloud services. Nurture team leaders through coaching, mentorship, and growth opportunities. Partner with other engineering and product leaders on planning, prioritization, and staffing. Foster a culture of excellence within the team while leading with empathy. What we look for: 15+ years of experience in developing and supporting large-scale distributed systems. Expertise in building, nurturing, and managing high-performance engineering teams. Proficiency in collaborating with cross-functional teams to achieve common goals. Strong leadership skills with a focus on empowerment and team development. Excellent communication and interpersonal skills.

Join our dynamic team at DigitalOcean as a Senior Cloud Support Engineer, specializing in AI/ML and database technologies. In this impactful role, you will leverage your expertise to provide exceptional technical support, troubleshoot complex issues, and collaborate with cross-functional teams to enhance our cloud services. Your contributions will be pivotal in ensuring our clients achieve their goals using our innovative infrastructure and tools.

About Us:At Endpoint, we specialize in providing innovative interactive response technology (IRT®) systems and solutions tailored for the life sciences sector. Established in 2009, our mission has been to empower sponsors and pharmaceutical companies to achieve unparalleled success in clinical trials. Our proprietary PULSE® platform consistently optimizes supply chain management, reduces operational costs, and guarantees precise and timely patient dosing. With our headquarters in Raleigh-Durham, North Carolina, and global offices across the United States, Europe, and Asia, we are committed to enhancing the clinical trial landscape.Position Overview:We are seeking a dynamic Director of Data Solutions to spearhead our organizational data strategy and drive innovative solutions. In this leadership role, you will oversee the design, implementation, and management of data solutions that contribute to our business growth. Collaborating with cross-functional teams, you will ensure the integrity, security, and accessibility of our data systems.This position is available at our Hyderabad and Bengaluru offices.

About UsAt Rox, our mission is to empower individuals to excel in their work.Our innovative platform equips sellers with autonomous revenue agents, allowing them to concentrate on what they excel at: selling. Just as coding agents transformed engineering, our revenue agents revolutionize customer interactions.We are pioneering the revenue stack by developing the world’s first revenue operating system, covering everything from the application layer to the context system. With Rox, humans transition to orchestration roles while agents handle the complete customer lifecycle.Rox serves Global 2000 leaders across banking, hardware, construction, and advanced AI sectors, while also supporting top-tier AI innovators such as Ramp and Cognition.Our success is grounded in a shared belief in our mission, paired with an unwavering dedication to making it a reality.The TeamOur world-class team is the driving force behind our mission to redefine business operations.Our team members have:Founded and successfully exited companiesHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe have raised $50M from esteemed investors, including Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We strive for perfection in every detail, ensuring that every interaction aids sellers in their tasks and enhances their experience. We are committed to continuous improvement and innovation.Obsession: Commit unreasonably.Our commitment to our craft is unwavering. We proactively drive value and are dedicated to learning and improving our services daily.Action: Get it done.Execution is key. We prioritize thoughtful yet prompt decision-making and swift delivery, building trust through our actions.

CSQ127R179MissionThe Manager of Technical Solutions in Data & AI will spearhead the development and expansion of a specialized team in India, dedicated to ensuring the resilience and seamless operation of customer production workloads. This leadership position involves overseeing support operations during APJ and EMEA business hours while closely collaborating with global teams to guarantee 24/7 support coverage. The team will tackle intricate and protracted data engineering challenges presented by Databricks clients, facilitating the success of real-time use cases. Responsibilities include performance optimization, ensuring production job reliability, and assisting customers in stabilizing workloads on innovative products and features. You will deeply understand the genuine business challenges our clients face with data and be committed to enhancing the reliability and performance of their systems to achieve their objectives.The Impact You Will Have:Lead as the Technical Solutions Manager for an elite team of Data & AI professionals, providing support across EMEA and APJ business hours.Enhance the technical proficiency of the team to ensure successful adoption of new Databricks platform products and features for customer production workloads.Engage with top-tier clients to comprehend their business needs pertaining to Data & AI strategy, collaborating with field engineering and sales as necessary.Partner with internal product engineering teams to improve Databricks products’ supportability and performance.Maintain high reliability of the Databricks platform to help customers achieve their business goals.

We are seeking a talented and motivated Embedded AI Data Scientist to join our dynamic team at Version 1. In this role, you will leverage your expertise in artificial intelligence and data science to develop innovative solutions that enhance cloud discovery and foster innovation.The ideal candidate will work closely with cross-functional teams to design, implement, and optimize AI models that can be embedded in various applications, driving significant value for our clients.

Join zaimler as a Data Infrastructure EngineerAt zaimler, we understand that AI agents cannot effectively reason over fragmented data. In today's enterprise landscape, data is often scattered across multiple systems without a coherent context, leading to failures in AI applications. As we transition from copilots to fully autonomous agents, we are pioneering a new layer of infrastructure to address this challenge.Our platform at zaimler serves as the backbone for the agentic era, facilitating the automatic discovery of domain knowledge, mapping of relationships, and providing AI agents with the semantic context they need to operate accurately and efficiently at scale. Imagine knowledge graphs that enable real-time inference, designed for systems that require reasoning, not merely data retrieval.Founded by industry veterans Biswajit Das and Sofus Macskassy, who have extensive experience in data infrastructure and knowledge graph development, zaimler is a small but dynamic team at the seed stage, collaborating with major enterprises in sectors like insurance, travel, and technology. If you aspire to contribute to the foundational infrastructure that will support the next decade of AI advancements, we would love to connect with you.Role OverviewWe are seeking a skilled Data Infrastructure Engineer to play a pivotal role in developing our foundational distributed data layer that drives our semantic platform. You will be responsible for designing, constructing, and scaling systems that facilitate high-throughput data ingestion, transformation, and real-time processing, ultimately shaping the core of our knowledge layer.As an early member of our Bengaluru office, your expertise will significantly influence the technical direction, culture, and standards of our growing team.

Empowering Every Identity, from AI to HumanAt Okta, we believe that identity is the cornerstone for unleashing the potential of AI. Our mission is to secure AI by establishing a reliable, neutral infrastructure that allows organizations to confidently navigate this transformative era. This pursuit demands a passionate commitment to tackle intricate challenges with significant real-world implications. We seek innovators who thrive in fast-paced environments, execute with precision, and embrace ownership in their work.This is your chance to make a lasting impact in your career. If you share our mission, we’d love to connect.Auth0, a part of Okta, offers a developer-friendly authentication and authorization platform that simplifies the login experience, ensuring security and seamlessness for users.The Auth0 Data Engineering TeamWithin Auth0, our Data Engineering team is dedicated to creating solutions that meet the analytics demands of the entire organization and oversees the Data Platform. Our team is divided into three specialized groups:Pipeline Team: Focused on efficient data ingestion and providing rapid access to unstructured data by collaborating closely with platform teams and data producers.Warehouse Team: Working alongside business teams and data consumers to model data in the warehouse, simplifying analysis, reporting, and decision-making across the organization.Interface Team: Responsible for establishing and managing connections between the data platform and various external systems, ensuring everyone has consistent and reliable access to data.The Senior Data Engineer RoleReporting to the manager of the Data Engineering Pipeline team, the Senior Data Engineer will play a vital role in maintaining the reliability and efficiency of our core data platform. This position is essential for providing a stable data foundation that supports daily operations and empowers the organization to foster growth and develop innovative products. We are looking for a self-driven engineer who can take ownership of our data ingestion pipelines, collaborate with platform teams and data producers, and onboard new data from various internal and external systems. You will be part of a team that creates robust and scalable data solutions using a modern, best-in-class toolset.

Cognite is leading the charge in industrial digitalization, creating innovative AI and data solutions that tackle some of the most challenging and impactful issues facing the world today. With our unparalleled industrial expertise and a robust suite of AI capabilities, including low-code AI agents, we are at the forefront of enabling digital transformation and driving operational enhancements.Our ambitious moonshot aims to unlock $100 billion in customer value by 2035, fundamentally transforming how industries operate globally.