Principal Engineer – Data Platform

Harness is an innovative AI Software Delivery Platform company founded by the visionary technologist and entrepreneur Jyoti Bansal, who previously established AppDynamics, which was acquired by Cisco for a staggering $3.7 billion. With approximately $570 million in funding, Harness is currently valued at $5.5 billion and supported by prestigious investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.As the landscape of software development evolves with the acceleration of AI-driven code creation, the focus has shifted to the broader aspects of software delivery, including testing, deployments, application security, reliability, compliance, and cost optimization. Harness leverages AI and automation to streamline these processes, enabling teams to deliver software more swiftly while ensuring security and governance throughout the software delivery lifecycle.In the past year, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, 3 trillion protected API calls, and managed $2.8 billion in cloud expenditure. Our solutions have empowered clients such as United Airlines, Morningstar, and Choice Hotels to amplify their release speeds by as much as 75%, cut cloud costs by up to 60%, and achieve a remarkable 10x increase in DevOps efficiency.With a diverse and global team across 14 offices spanning 25 countries, Harness is at the forefront of shaping the future of AI software delivery. We are on the lookout for exceptional talent to join our mission and propel us forward.Position SummaryWe are developing a cohesive data platform that will serve over 20 product modules, facilitating the ingestion, processing, and retrieval of data to empower analytics and systems at scale. This position is integral to the Data Activation & Analytics initiative under the Unified Data Platform framework, concentrating on creating a self-service analytics platform equipped with a semantic modeling layer, a domain-specific language (DSL) query layer, and an analytics materialization layer. The platform will enable product teams to construct custom dashboards independently, as well as provide readily embeddable analytics modules.About the RoleYou will spearhead the design, architecture, and development of this platform alongside senior architects, tackling complex challenges related to DSL-based query expressions, achieving sub-second read latency, multi-tenancy, high concurrency, and more.

Join Okta, The World’s Identity Company!At Okta, we empower individuals to securely access any technology, anywhere, on any device or application. Our innovative Okta Platform and Auth0 Platform are designed to provide seamless access and authentication, placing identity at the heart of security and business expansion.We value diverse perspectives and experiences and are not seeking someone who fits a mold. We’re on the lookout for lifelong learners who can enrich our team with their unique insights.Become a part of our mission to create a world where identity is owned by the individual!About OktaOkta is the premier independent identity provider for enterprises, dedicated to facilitating secure technology usage across organizations of all sizes—from vast corporations to cutting-edge startups. As we embark on a new phase of growth, our advancements in AI and data will play a pivotal role in driving our success, enabling the creation of secure and scalable products for our customers and employees alike.The OpportunityWe are in search of a Principal Data Platform Engineer to serve as the visionary leader for our internal data platform, specifically tailored to support our AI initiatives with data that is ready for AI applications. Reporting to the Sr Manager of Enterprise Data Platform, you will be responsible for transforming our data product vision into a secure, scalable, and sophisticated technical framework. Your role will encompass owning the technical strategy, implementation, and scalability, ensuring our AI and data product roadmap is realized effectively.This position requires a technical leader capable of balancing immediate execution needs with building a sustainable infrastructure for the future. You will establish technical standards for engineering excellence, security, and governance, ensuring our core data platform is trusted and equipped to support the next generation of AI-driven products and decision-making at Okta.What You’ll DoLead the technical strategy and execution for the company's AI data platform, converting product requirements into a clear technical vision utilizing Snowflake, AWS, and dbt.Develop and implement a comprehensive security and governance framework as a foundational element of the platform, ensuring adherence to high compliance and security standards.Create automated solutions for data classification, access control, and vulnerability management (Nessus/Qualys), ensuring data integrity and security for AI usage.Implement additional solutions to enhance...

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.

SonicWall is a trailblazer in cybersecurity with over 30 years of experience. We pride ourselves on being a partner-first organization, dedicated to ensuring our partners and their customers are fully supported in the battle against cybercrime. Our advanced capabilities allow us to build, scale, and manage security solutions across cloud, hybrid, and traditional environments in real-time. SonicWall delivers unwavering protection against the most sophisticated cyber threats across a multitude of exposure points for an increasingly remote, mobile, and cloud-enabled user base. With our dedicated threat research center, we can swiftly and cost-effectively provide tailored security solutions for enterprises, government agencies, and SMBs worldwide. For further details, visit www.sonicwall.com.

Role overview Quince seeks a Staff Data Engineer in Bengaluru, Karnataka, India. This position centers on building and maintaining the core infrastructure behind the company’s data platform. The work directly supports major data initiatives and helps drive informed decisions throughout the business. What you will do Design and develop infrastructure that powers the data platform Maintain and improve systems supporting data needs across the organization Collaborate with other teams to strengthen the broader data ecosystem Requirements Solid background in data engineering Experience architecting and developing data infrastructure Comfort working collaboratively to address challenges Motivation to use data for meaningful solutions Appreciation for innovation and ongoing improvement

Join our innovative team at SanDisk as a Principal Engineer in Data Analytics Engineering. In this pivotal role, you will spearhead cutting-edge data analytics projects, utilizing advanced methodologies and technologies to drive impactful insights across our organization. Your expertise will be critical in shaping our data strategy and enhancing our analytical capabilities.

Join Tekion as a Senior Data Platform Engineer, where you will play a crucial role in developing and optimizing our data platform. You will collaborate with cross-functional teams to build scalable data solutions that empower our business decisions and enhance user experience.

Harness, a leader in AI-driven software delivery, was founded by notable technologist Jyoti Bansal, who is also the founder of AppDynamics, acquired by Cisco for a staggering $3.7B. With approximately $570M raised in funding and a valuation of $5.5B, Harness is supported by top-tier investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI revolutionizes code creation, the focus has shifted to optimizing processes beyond code – including testing, deployments, application security, reliability, compliance, and cost efficiency. Harness leverages AI and automation to enhance this "outer loop," enabling teams to accelerate software delivery without compromising security or governance throughout the entire software lifecycle.Utilizing the Harness AI and Software Delivery Knowledge Graph, our platform seamlessly integrates intelligent automation and governance controls throughout the software delivery process.In the past year alone, Harness facilitated over 185M deployments, 82M builds, conducted 8M security scans, and managed $2.8B in cloud expenditure, empowering clients like United Airlines and Choice Hotels to boost release speeds by up to 75% and reduce cloud costs by 60% while achieving tenfold improvements in DevOps efficiency.With a global footprint across 14 offices in 25 countries, Harness is redefining the future of AI software delivery – and we are eager to welcome exceptional talent to join our journey.Position SummaryAs an Engineering Manager under the AppSec Platform charter, you will design and develop a multi-cloud, portable, open-source streaming-first data platform that powers our API observability and security products. Your team will also manage common services in the authentication and authorization domains. This platform is vital as the core pillar for customer-facing analytics and consumption layers for various product modules including Catalog, Runtime Protection, and Application/AI Security. You will lead and cultivate a team of 8-10 engineers, driving execution, fostering innovation, and delivering high-impact platform capabilities. Additionally, you will enhance operational excellence through monitoring, reliability improvements, and cost optimization of large-scale data systems, all while contributing to our mission of becoming a global leader in the AppSec domain.

At Databricks, we are dedicated to empowering data teams to address some of the most challenging problems globally—from bringing innovative transportation solutions to life to accelerating groundbreaking medical advancements. Our mission is realized through the development and operation of the world's premier data and AI infrastructure platform, enabling our customers to harness profound data insights to elevate their businesses. Founded by engineers with a relentless focus on customer success, we eagerly embrace each opportunity to tackle technical challenges, whether it’s designing next-generation UI/UX for data interactions or scaling our services across millions of virtual machines. Our journey has just begun.As a Staff Software Engineer on the Data Platform team, you will harness state-of-the-art AI developer tools and techniques to construct Databricks' Data Intelligence Platform, which will facilitate automated decision-making throughout the organization. This role involves close collaboration with Databricks Product Teams, Data Science, and other stakeholders. You will shape the future of various tools, including logging, orchestration, data transformation, metric stores, governance platforms, and data consumption layers.

Join the Okta Family!At Okta, we are revolutionizing identity management by empowering individuals and organizations to securely access any technology, anywhere, on any device. Our innovative platforms, including the Okta and Auth0 Platforms, are designed to enhance security, streamline authentication, and facilitate automation, placing identity at the forefront of business growth and security.We value diverse perspectives and backgrounds, seeking lifelong learners who can contribute their unique experiences to our mission.Be part of a team that is building a future where identity is truly yours.About OktaOkta is committed to making the world a more secure and interconnected place by enabling organizations to embrace any technology. As the leading independent identity provider for enterprises, we collaborate with a diverse range of clients—from major corporations to innovative startups—to ensure secure connections between people and technology. Our robust AI and data capabilities are pivotal to our growth and success, powering secure and scalable products for both our customer base and employees.The OpportunityWe are on the lookout for a Senior Data Engineer to join our Enterprise Data Platform team. Reporting to the Sr. Manager of Enterprise Data Platform, you will play a crucial role in developing the data infrastructure that enables our internal AI initiatives through AI-ready data. Your responsibilities will include transforming our data product vision into a secure, scalable, and sophisticated technical framework.The ideal candidate possesses a strong passion for creating high-quality data solutions. You will contribute to establishing engineering excellence within the team and ensuring our core data platform is reliable and ready to support AI-driven decision-making at Okta.What You’ll DoDesign and maintain efficient data pipelines and models on our AI data platform, leveraging tools such as Snowflake, AWS, and dbt.Implement security and governance components to uphold compliance and security standards.Develop automated solutions for data classification and access control, and support vulnerability management processes.Utilize infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to construct, test, and deploy data infrastructure with security and reliability.Promote and adhere to best practices in code quality, system design, and operational readiness.

Join Acceldata as we transform data observability, enabling enterprises to manage and monitor their data effectively through innovative solutions tailored to meet distinct organizational needs. Our Open Data Platform (ODP) seamlessly integrates cutting-edge technologies to provide unparalleled data observability for modern enterprises.About the Role: We are seeking a talented Software Engineer to enhance and scale the Acceldata Open Data Platform (ODP) - a robust, enterprise-grade, open-source platform designed for cloud, hybrid, and on-premises environments. You will tackle significant technological challenges, ranging from distributed systems to data observability, assisting global clients in modernizing their platforms without vendor lock-in.This position provides an exciting opportunity to develop state-of-the-art data solutions, influence the open-source landscape, and collaborate with industry leaders. Your contributions will leave a lasting impact on our data platform and the wider open-source community.

Discover OktaOkta is the world's leading identity management company, empowering individuals to securely access any technology, anytime, on any device or application. Our versatile products, including the Okta Platform and Auth0 Platform, offer secure access, authentication, and automation, placing identity at the forefront of business security and growth.We value diverse perspectives and experiences at Okta. We seek lifelong learners who can contribute uniquely to our team rather than just looking for candidates who meet every qualification. Join us in creating a future where identity is truly in your hands.About OktaOkta provides an enterprise-grade identity management solution, designed from the ground up in the cloud with a steadfast commitment to customer success. With Okta, you can manage access across any application, person, or device, be it employees, partners, or customers, whether applications are in the cloud or on-premise. Our solutions enhance security, increase productivity, and ensure compliance.Our service features directory services, single sign-on, robust authentication, provisioning, workflow, and built-in reporting capabilities. It operates on a secure, reliable, and extensively audited cloud platform that deeply integrates with on-premises applications, directories, and identity management systems.About the TeamThe Data Platform team is tasked with providing the foundational data services, systems, and products for Okta, significantly benefiting our users. Currently, the Data Platform team addresses challenges and enables:Streaming analyticsInteractive end-user reportingA data and machine learning platform for Okta's scalabilityTelemetry for our products and dataOur elite team is fast-paced, innovative, and adaptable. We promote ownership and hold high expectations for our engineers, rewarding them with exciting projects, cutting-edge technologies, and the opportunity to acquire significant equity in a transformative company. Okta is poised to redefine the landscape of cloud computing.About the PositionThis role presents an exciting opportunity for experienced Software Engineers to join our rapidly expanding Data Platform organization. We are committed to scaling high-volume, low-latency, distributed data services and products. As part of the Data Platform team, you will collaborate with engineers across the organization to construct the foundational infrastructure that will support Okta's growth for years to come.

About AlphaSense:AlphaSense is the trusted market intelligence platform used by leading companies to eliminate uncertainty in their decision-making. Our sophisticated AI-driven search technology extracts actionable insights from a vast array of reliable content, including equity research, company filings, event transcripts, expert calls, news articles, trade journals, and proprietary research from our clients.In 2024, AlphaSense's acquisition of Tegus enhances our commitment to empowering professionals with AI-driven market intelligence. Together, we are set to drive innovation and expand our content offerings, enabling users to glean deeper insights from an extensive range of resources. With over 6,000 enterprise customers, including a significant portion of the S&P 500, AlphaSense is headquartered in New York City and employs more than 2,000 people globally, with offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join our dynamic team!About the RoleWe are in search of a skilled engineering leader who will revolutionize how we design and operate AI systems at scale. You will collaborate with a team of exceptional engineers dedicated to building state-of-the-art AI applications, ensuring that our innovations operate flawlessly for our enterprise clientele.This is a remarkable opportunity for a seasoned engineer who excels in developing robust platforms, mentoring talented teams, and driving engineering excellence. You will have the autonomy to shape our technical architecture while engaging with cutting-edge AI models and systems that facilitate market intelligence for some of the world’s foremost companies.What You’ll DoArchitect for Scale: Create and implement distributed systems that facilitate AI agents handling thousands of requests per hour, ensuring reliability, performance, and cost-effectiveness.Build Engineering Excellence: Develop comprehensive testing strategies, observability systems, and CI/CD pipelines that preemptively identify issues before they affect customers.Lead Through Expertise: Guide a team of intelligent, motivated engineers, sharing your expertise in developing production systems that maintain high reliability.

Join our innovative team at Tekion as a Staff Software Engineer – Data Platform Engineer, where your expertise will help shape the future of our data platform. You will be responsible for designing and implementing robust data solutions that drive business insights and enhance operational efficiency.

At Databricks, we are driven by our mission to empower data teams in tackling some of the most challenging issues facing the world today. From realizing the future of transportation to expediting medical innovations, we build and maintain the leading data and AI infrastructure platform, enabling our clients to harness deep data insights for business enhancement. Founded by engineers with a relentless focus on customer satisfaction, we eagerly embrace every challenge, whether it's designing next-gen UI/UX for data interaction or scaling our services across millions of virtual machines.Our Databricks Mosaic AI utilizes a distinctive data-focused approach to develop enterprise-grade Machine Learning and Generative AI solutions, allowing organizations to securely and cost-effectively manage and deploy models trained with their proprietary data. We're excited to expand our team in Bengaluru, India, where we are in the process of launching 14 new teams from scratch!As a Senior Software Engineer at Databricks India, you will engage with various domains including:BackendDistributed Data Systems (DDS)Full Stack DevelopmentYour Impact:1. As part of our Backend teams, you will tackle diverse challenges across our core service platforms, including:Addressing intricate issues ranging from product development to infrastructure, focusing on distributed systems, large-scale service architecture, monitoring, workflow orchestration, and enhancing developer experience.Delivering dependable, high-performance services and client libraries designed for storing and accessing vast amounts of data on cloud storage solutions such as AWS S3 and Azure Blob Store.Creating robust, scalable services using technologies like Scala, Kubernetes, and Apache Spark™, supporting an infrastructure that handles millions of cluster-hours daily, while developing product features that empower customers to effortlessly manage and monitor their platform usage.2. Our DDS team encompasses:Apache Spark™Data Plane StorageDelta LakeDelta PipelinesPerformance Engineering3. As a Full Stack engineer, you will collaborate closely with your team and product management to deliver an outstanding user experience.

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.

Job Title: Manager, EngineeringLocation: India, HybridThis is a hybrid position, requiring a presence at our Bengaluru office as necessary. Candidates must be based in India. ABOUT CLARI: Clari and Salesloft are pioneering a new era of enterprise revenue management, empowering teams to make informed decisions driven by AI and real-time insights. Together, we are developing the industry's inaugural Predictive Revenue System, allowing human intelligence and AI to collaborate for smarter decision-making and sustainable growth.With a vast customer base leveraging our platforms daily, we possess unparalleled insights into revenue generation—the Revenue Context that elucidates events, timing, and outcomes. This unique perspective positions us to redefine a category and establish new standards for modern revenue teams. Join us as we reshape how companies globally manage revenue, developing the platform that will lead top revenue teams into the future. THE OPPORTUNITY:As a Manager of Engineering at Clari and Salesloft, you will be integral to our success. We seek a seasoned professional who is committed to realizing our vision through a demonstrated history of excellence and innovation. You will thrive in working on cutting-edge cloud technologies to build groundbreaking AI-driven, enterprise-grade applications. Key Responsibilities:Lead product delivery in a dynamic startup environment with a keen emphasis on quality, design, and architecture. Manage the technical roadmap for your product. Recruit and provide leadership to a team of software engineers, establishing high engineering standards and quality. Collaborate effectively with cross-functional teams, architects, and stakeholders to achieve unified objectives.

P-1348 Join Databricks, where our mission is to empower data teams to tackle the world's most challenging problems, from detecting security threats to advancing cancer drug development. We build and maintain the premier data and AI infrastructure platform, enabling our customers to focus on their critical missions. Our engineering teams are dedicated to creating innovative technical products that address significant needs while pushing the limits of data and AI technology. We operate with the resilience, security, and scalability necessary to ensure our customers succeed on our platform. Our platform operates at an unparalleled scale, comprising millions of virtual machines and generating terabytes of logs, processing exabytes of data daily. We encounter various cloud hardware, network, and operating system faults, and our software must adeptly protect our customers from these challenges. As a Staff Software Engineer on the Data Platform team, you will contribute to the development of the Data Intelligence Platform at Databricks, automating decision-making processes across the organization. Collaborating with Product Teams, Data Science, Applied AI, and more, you will create tools for logging, orchestration, data transformation, metric storage, governance platforms, and data consumption layers. Leveraging cutting-edge Databricks products and tools within the data ecosystem, your team will serve as a significant in-house customer, providing insights that shape our product's future. Your Impact: Design and manage the Databricks metrics store, facilitating shared access to detailed metrics across business units and engineering teams with high quality and performance. Develop the cross-company Data Intelligence Platform, encompassing all business and product metrics necessary for running Databricks, balancing data protection with ease of sharing as we transition to a public entity. Create tools and infrastructure for efficiently managing Databricks operations at scale across multiple clouds and geographies, including CI/CD processes, testing frameworks for pipelines and data quality, and infrastructure-as-code tools. Establish the foundational ETL framework utilized by all company-developed pipelines. Collaborate with engineering teams to enhance...

We are seeking a talented and motivated Data Platform Engineer to join our dynamic team at weekday-1. This is an individual contributor role, ranging from SDE 2 to Staff level, where you will be responsible for designing, building, and maintaining robust data platforms that enable data-driven decision-making throughout the organization.Your expertise will play a crucial role in optimizing our data architecture, ensuring data quality, and implementing best practices in data management. If you have a passion for working with large datasets and enjoy solving complex problems, we want to hear from you!