Lead Infrastructure Engineer

(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.

(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.

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.

About the RoleAs a Software Engineer focused on Platform and Data Infrastructure, you will be pivotal in designing and maintaining the foundational elements that drive Galileo’s platform. Your expertise will be vital in tackling complex systems challenges at scale, ensuring our infrastructure remains robust, efficient, and responsive. We are on the lookout for a skilled engineer who has hands-on experience in building large-scale real-time infrastructure, crafting services and APIs capable of processing millions of queries, and addressing the unique challenges posed by high-scale systems. Familiarity with optimizing high-volume traffic across SQL and NoSQL databases, time-series databases, and object stores is essential.What You'll Be DoingDesign and scale core infrastructure by creating and optimizing distributed systems and APIs that can manage millions of real-time queries while maintaining low latency and high reliability.Develop data-rich systems by working with SQL, NoSQL, time-series, and object storage solutions, ensuring that data pipelines and retrieval processes are optimized for maximum throughput and efficiency.Enhance performance at scale through profiling and tuning systems for latency, throughput, and cost, ensuring the platform grows in alignment with customer demand.Engage in the development of real-time serving systems by designing high-throughput caching layers and efficient data lookup services to provide swift, dependable access to extensive datasets.

(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.

Key Responsibilities:Architect, develop, and maintain efficient and scalable batch and stream data processing infrastructures to facilitate day-to-day machine learning operations, including training, serving, evaluation, and experimental systems.Create and implement foundational data models, data warehouses, and processing pipelines (both real-time and offline) using technologies such as AWS EMR Spark, Apache Kafka, AWS Athena, Snowflake, Airflow, and Apache HUDI.Collaborate closely with machine learning and data science teams to assess their data requirements, influence the data team’s strategic roadmap, and lead the execution of various initiatives.Establish a data governance platform to ensure secure and compliant data management, encompassing services for data cataloging, lineage tracking, auditing, data deletion, and masking.Develop and manage orchestration platforms utilizing Temporal and Airflow, empowering other teams to create features and workflows.Design and enhance platform and data services/APIs to provide data access for diverse stakeholders and customer-facing data products.

P-1346 At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems—from transforming transportation to speeding up medical innovations. Our mission revolves around creating and operating the most advanced data and AI infrastructure platform, allowing our clients to harness deep data insights to enhance their businesses. Founded by engineers and driven by a strong customer focus, we eagerly embrace every chance to address technical obstacles, whether it's designing next-generation UI/UX for data interaction or scaling our services and infrastructure across millions of virtual machines. With Databricks Mosaic AI, we offer a distinctive data-centric methodology for constructing enterprise-grade Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively manage ML and Generative AI models, augmented or trained using their enterprise data. As we expand in Bengaluru, India, we are in the process of establishing 14 new teams from the ground up! As a Senior Software Engineer in the Infrastructure domain at Databricks India, you will have the opportunity to work across: Backend (Infrastructure) Your impact will include: Engaging with diverse challenges that bridge product and infrastructure, including distributed systems, large-scale service architecture and monitoring, workflow orchestration, and enhancing developer experience. Delivering reliable and high-performance services and client libraries for managing vast amounts of data on cloud storage backends, such as AWS S3 and Azure Blob Store. Building robust, scalable services using technologies like Scala and Kubernetes, alongside data pipelines with Apache Spark™ and Databricks, to support a pricing infrastructure that serves millions of cluster-hours daily while developing product features that allow customers to manage and monitor platform usage effortlessly.

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.

(P-1491) About the Team At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems globally, from revolutionizing transportation to enhancing medical advancements. Our mission is realized through the development and management of the premier data and AI infrastructure platform, enabling our customers to leverage profound data insights for business improvement. Founded by engineers with a strong customer focus, we eagerly embrace every opportunity to address technical challenges—from creating next-generation UI/UX for data interaction to expanding our services and infrastructure across millions of virtual machines. The journey has only just begun. In this pivotal role, you will collaborate with leaders across various departments, including engineering, product management, field engineering, recruiting, and HR. You will spearhead essential infrastructure projects that build and manage distributed systems, enhancing efficiency, reliability, and automation across the organization. You’ll influence the construction of next-gen systems by integrating AI-driven tools directly into the infrastructure, ensuring it is more adaptable, scalable, and intelligent.

(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.

About the Role Valtech is looking for a Data Engineer in Bengaluru. This position focuses on building and maintaining the core data infrastructure that supports business decisions across the company. What You Will Do Design and develop data pipelines and architecture Maintain and improve data systems for reliability and accuracy Support teams by ensuring data is available and trustworthy for analysis Location This role is based in Bengaluru.

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.

Stripe supports millions of businesses by providing financial infrastructure for payments, revenue growth, and new opportunities. The company’s platform serves organizations of all sizes, aiming to expand the GDP of the internet by enabling global commerce. Batch Compute Infrastructure Team This team operates Stripe’s large-scale batch processing systems, which run on more than 5,000 distributed nodes. Core technologies include Hadoop, Spark, and Celeborn. These systems support asynchronous workflows for financial, analytical, and regulatory processes, handling data at petabyte scale. Role overview The Engineering Manager for Batch Compute Infrastructure leads a group responsible for building and maintaining the tools, infrastructure, and systems that power Spark, Hadoop, and Celeborn at Stripe. This role sets the roadmap for these platforms, focusing on their reliability and scalability. Collaboration is central: the manager works closely with other engineering and finance teams whose projects depend on dependable data processing infrastructure. The position also involves partnering with stakeholders to define, measure, and track the cost-efficiency of Stripe’s batch compute systems. Requirements Experience managing engineering teams responsible for distributed infrastructure or large-scale data processing Familiarity with technologies such as Hadoop, Spark, or Celeborn Ability to set technical direction and roadmap for critical platforms Strong collaboration skills with cross-functional partners Focus on reliability, scalability, and cost-efficiency in infrastructure

Join Egis Group, a global consulting and engineering company, as a Mechanical Engineer specializing in Infrastructure. In this pivotal role, you will leverage your technical expertise to drive innovative engineering solutions that enhance infrastructure projects across various sectors.

Join our dynamic team as a Mechanical Engineer specializing in Infrastructure projects. You will play a pivotal role in designing, analyzing, and improving mechanical systems while ensuring compliance with industry standards. This position offers an exciting opportunity to contribute to innovative infrastructure solutions that enhance community living.

Join Eurofins as an IT Infrastructure Process Engineer, where you will play a crucial role in optimizing our IT infrastructure processes. As part of our dynamic team, your expertise will contribute to enhancing operational efficiency and ensuring the reliability of our IT systems. You will collaborate with cross-functional teams to develop and implement best practices in IT process engineering, backed by your analytical skills and innovative mindset.

Join Egis Group as a Mechanical Engineer - Infrastructure in Bengaluru, where you will play a pivotal role in designing and developing innovative solutions for infrastructure projects. Your expertise will contribute to the efficiency and effectiveness of our engineering processes, ensuring that we deliver high-quality outcomes for our clients.

Role overview Eurofins Scientific is hiring an IT Infrastructure Network Engineer based in Bengaluru. The position centers on designing, implementing, and maintaining network infrastructure that supports daily business operations. This engineer will help ensure the organization's networks remain secure, reliable, and perform well. The work involves supporting both ongoing operations and future network needs. Key responsibilities Design and implement network infrastructure to meet business requirements Maintain and monitor network systems for performance and reliability Support network security across the organization Location This role is based in Bengaluru.