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Experience Level
Experience
Qualifications
Strong programming skills in languages such as Java, Python, or Go. Experience with distributed systems and cloud architectures. Familiarity with open-source technologies and contributions to open-source projects. Problem-solving mindset with a passion for innovation. Excellent communication and collaboration skills.
About the job
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.
About Acceldata
Acceldata is at the forefront of revolutionizing data observability, providing tailored solutions that empower enterprises to effectively manage and monitor their data. Our innovative platform integrates diverse technologies, facilitating seamless data observability for modern businesses.
Teamwork makes the stream work. Join Roku and Transform the Future of TV Streaming!As the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is at the forefront of revolutionizing how audiences engage with television. Our goal is to power every TV worldwide, connecting viewers to their favorite content while empowering publishers and adverti…
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.
Teamwork Makes the Stream Work. Roku is Revolutionizing Television ViewingRoku stands at the forefront as the leading TV streaming platform across the U.S., Canada, and Mexico, with an ambitious goal to power every television worldwide. We initiated the streaming journey for TVs and aim to be the central platform connecting the entire TV ecosystem. Our mission is to connect viewers with their favorite content, empower publishers to grow and monetize large audiences, and provide advertisers with innovative tools to engage effectively.From your first day at Roku, your contributions will be valued and impactful. We are a rapidly expanding public company where every team member plays a crucial role. Join us in delighting millions of viewers globally while gaining significant experience across diverse disciplines. About the Team The Data Insights team is integral to Roku’s Advertising organization, spearheading measurement and analytics efforts that drive strategic decisions within the advertising landscape. We craft and oversee products that yield actionable insights for advertisers while fulfilling the operational and analytical requirements of internal teams. Collaboration is key as we partner with Product Managers, Data Scientists, Ad Sales, Ads Operations, and various groups within Advertising Engineering to deliver high-impact solutions. Looking ahead, we are investigating AI-driven measurement capabilities to enhance advertising campaign effectiveness and bolster internal analytics. About the Role We are in search of a talented Senior Software Engineer with extensive expertise in big data technologies, such as Apache Spark and Apache Airflow. This hybrid role merges software engineering and data engineering, necessitating skills in designing, building, and maintaining scalable systems for application development and large-scale data processing. In this position, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that fuel essential analytics and measurement capabilities. You will engage with technologies including Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, and StarRocks.
P-1348 At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems in the world, ranging from security threat detection to the development of cancer drugs. Our mission is to create and manage the leading data and AI infrastructure platform, allowing our customers to concentrate on the critical challenges central to their missions. Our engineering teams are committed to developing innovative technical products that meet real and significant needs globally. We continuously push the limits of data and AI technology while ensuring resilience, security, and scalability to enhance our customers' success on our platform. We are responsible for the operation of one of the largest scale software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data on a daily basis. At this scale, we encounter cloud hardware, network, and operating system issues, and our software must effectively shield our customers from these challenges. As a Senior Software Engineer on the Data Platform team, you will contribute to building the Data Intelligence Platform for Databricks, which aims to automate decision-making across the organization. You will collaborate closely with Databricks Product Teams, Data Science, Applied AI, and more. Your role will involve developing a range of tools for logging, orchestration, data transformation, metric storage, governance platforms, and data consumption layers. You will leverage the latest and most advanced Databricks products and other tools in the data ecosystem. Our team also serves as a substantial in-house customer, using Databricks to inform the future direction of our product. Your Impact: Design and manage the Databricks metrics store, enabling all business units and engineering teams to consolidate and share detailed metrics on a common platform with high quality, introspection capabilities, and query performance. Lead the development of the cross-company Data Intelligence Platform, which encapsulates all business and product metrics essential for running Databricks. You will play a pivotal role in balancing data protection with ease of shareability as we transition to a public company. Create tools and infrastructure to efficiently manage and operate Databricks on Databricks at scale across multiple clouds, geographies, and deployment types. This includes CI/CD processes, testing frameworks for pipelines and data quality, and infrastructure-as-code tooling. Establish the foundational ETL framework utilized by all pipelines developed within the company. Collaborate with our engineering teams to provide...
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.
Acceldata is seeking a highly skilled Senior Software Engineer to join our dynamic team specializing in the Open Data Platform (ODP). In this role, you will be instrumental in designing, developing, and maintaining scalable software systems that power our innovative data solutions. You will collaborate with cross-functional teams to deliver high-quality products that exceed client expectations.
Collaborate to Innovate in Streaming. Join Roku's Vision to Revolutionize TelevisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to power every television globally. We have transformed how people enjoy their favorite shows and movies by connecting consumers to the content they love, assisting publishers in reaching vast audiences, and offering advertisers unique tools to engage effectively.At Roku, your contributions will be recognized from day one. We are a rapidly expanding public company where every team member plays a pivotal role. This is your chance to impact millions of TV streamers worldwide while gaining valuable experience across diverse fields. About Our Team The Ad Data Activation organization is at the forefront of building a reliable, privacy-conscious, and scalable data foundation vital to Roku’s advertising growth. We develop identity systems, device graph pipelines, audience platforms, and insights tools that empower precise targeting, measurement, and reporting across Roku Ads. We are seeking a Senior Machine Learning Engineer to enhance our systems' intelligence. You will operate at the intersection of large-scale data platforms, applied machine learning, and generative AI, developing functionalities that make Roku's advertising data actionable for both internal teams and advertisers. This role involves creating core generative AI platform features for Roku Advertising, alongside applying traditional ML techniques.
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.
Collaboration Fuels Innovation. Join Roku in Revolutionizing Television ViewingAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to enhance how audiences experience television globally. We pioneered streaming technology and aim to connect consumers with the content they cherish, empower content publishers to grow and monetize their audiences, and offer advertisers unique tools to engage effectively with consumers.From day one at Roku, your contributions will be meaningful and recognized. As a rapidly expanding public company, we foster an environment where everyone plays a vital role. You’ll have the chance to delight millions of TV streamers worldwide while gaining invaluable experience across diverse disciplines. Team Overview The Data Management Platform (DMP) team is pivotal within Roku's Advertising division, spearheading audience management initiatives that drive decision-making across the advertising landscape. Our team develops and oversees products that facilitate advanced audience segmentation and management for advertisers, aligning with internal operational requirements. We collaborate closely with Product Managers, Machine Learning experts, Ad Sales, Ads Operations, and various teams within Advertising Engineering to deliver impactful solutions. Looking ahead, we are investigating AI-driven capabilities to further optimize advertising campaigns and enhance our platform's operational efficiency. Role Overview We are in search of a talented Senior Software Engineer skilled in big data technologies such as Apache Spark and Apache Airflow. This hybrid role will bridge software engineering expertise with data management, focusing on developing innovative solutions that enhance our advertising capabilities.
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.
Full-time|Remote|Bengaluru, India; EMEA Remote; Tel Aviv, Israel
At WEKA, we are pioneering a transformative approach to the enterprise data stack, designed for the era of reasoning. Our flagship product, NeuralMesh by WEKA, exemplifies the forefront of agentic AI data infrastructure, offering a cloud and AI-native software solution that is adaptable to any environment. This innovation converts traditional data silos into dynamic data pipelines, significantly boosting GPU utilization and enhancing the speed, efficiency, and energy consumption of AI model training, inference, and other high-compute workloads.As a pre-IPO, growth-stage enterprise, WEKA is experiencing remarkable growth, having secured $375 million in funding from prominent venture capital and strategic investors. We collaborate with some of the largest and most innovative organizations worldwide, including 12 of the Fortune 50, to accelerate their discoveries, insights, and sustainable business outcomes. Our team is driven by a commitment to address our customers' most intricate data challenges and to foster intelligent innovation and business value. If this resonates with you, we welcome you to embark on this exciting journey with us.
Join our dynamic team as an Azure Big Data Engineer at Bosch Group in Bengaluru. In this role, you will be responsible for designing, implementing, and maintaining big data solutions using Azure technologies. You will work closely with data scientists and analysts to ensure data is accessible, reliable, and secure. Your contribution will aid in driving data-driven decisions across the organization.
Harness is a pioneering AI Software Delivery Platform, founded by the esteemed technologist and entrepreneur Jyoti Bansal, known for founding AppDynamics, which was acquired by Cisco for $3.7 billion. With approximately $570 million raised in funding, Harness is currently valued at $5.5 billion and is supported by prominent investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As artificial intelligence accelerates the process of code creation, the primary challenges have now shifted to subsequent phases including testing, deployments, application security, reliability, compliance, and cost optimization. Harness integrates AI and automation into this "outer loop," empowering teams to deliver software with enhanced speed while ensuring security and governance throughout the software delivery lifecycle.The Harness Platform, propelled by Harness AI and the Software Delivery Knowledge Graph, leverages deep contextual insights and intelligent automation across the software delivery lifecycle, incorporating governance and policy-driven controls seamlessly throughout the platform.In the last year, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, and 9.1 billion optimized tests, managing $2.8 billion in cloud expenditure. This has enabled esteemed clients such as United Airlines, Morningstar, and Choice Hotels to accelerate their release cycles by up to 75%, lower cloud costs by up to 60%, and achieve a tenfold increase in DevOps efficiency.With a diverse global team across 14 offices in 25 countries, Harness is at the forefront of revolutionizing AI software delivery, and we are on the lookout for exceptional talent to help us advance even more rapidly.Position SummaryThe Unified Data Platform (UDP) represents a robust data infrastructure solution aimed at providing a common storage, ingestion, processing, and query layer for all product modules within the Harness ecosystem. This platform supports real-time and batch data processing, unified querying across diverse data sources, and offers a semantic layer for consistent data modeling across modules. It will also underpin several core Harness AI initiatives, including the Knowledge Graph and AI-powered dashboarding.About the RoleEngage in the design, architecture, and development of this platform alongside principal engineers and architects, tackling complex challenges such as declarative ingestion and processing frameworks or DSL-based query expressions, all while ensuring sub-second read latency, sub-minute freshness SLA with integrated security and compliance.Mentor both senior and junior engineers through peer reviews (code/design) and intricate debugging processes.Draft high-level and low-level design documents.
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.
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.
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.
Teamwork makes the stream work. Roku is transforming the television landscape.As the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to power every television globally. We were the pioneers of streaming to the TV, and our goal is to connect consumers with their favorite content, empower publishers to grow their audiences, and provide advertisers with innovative tools to engage viewers effectively.From day one at Roku, you will be a key contributor in a fast-paced environment where your work impacts millions of TV streamers. Join us to gain invaluable experience across various disciplines while delighting users around the world. About the TeamRoku leads the industry in TV streaming innovation. Our ongoing success depends on enhancing the Roku Content Platform to deliver an exceptional streaming experience worldwide. As part of our elite Content Platform team, you will collaborate with talented engineers responsible for developing and maintaining our extensive backend systems, data processing services, and storage solutions, providing insights for all content on Roku devices. About the RoleWe are seeking a Senior Software Engineer with extensive experience in backend development, Data Engineering, and Data Analytics. This role focuses on advancing our content platform and data intelligence capabilities, supporting critical systems such as Search and Recommendations across the Roku platform. Ideal candidates will embrace high visibility, possess a strong business acumen, and thrive on making impactful decisions while working on core data platform components essential for streaming services at Roku. What You’ll Be DoingCollaborate closely with product management, content data platform services, and internal teams to enhance our data platform's architecture.Develop low-latency, optimized streaming, and batch data pipelines to support downstream services.Build and maintain our Microservices-based Event-Driven architecture.
At WEKA, we are redefining the enterprise data stack for the reasoning age. Our innovative solution, NeuralMesh by WEKA, stands at the forefront of agentic AI data infrastructure, providing a cloud and AI-native software solution deployable anywhere. We convert traditional data silos into dynamic data pipelines that significantly enhance GPU utilization, accelerating AI model training, inference, machine learning, and other resource-intensive tasks while being energy efficient.As a pre-IPO, growth-stage company on a rapid growth path, WEKA has successfully raised $375 million in funding from world-class venture capitalists and strategic investors. We partner with the world’s most innovative enterprises and research organizations, including 12 of the Fortune 50, to facilitate faster and more sustainable discoveries, insights, and business outcomes. Our commitment is to tackle our customers’ most intricate data challenges to foster intelligent innovation and drive business value. If you share our enthusiasm, we welcome you to embark on this exciting journey with us.
Teamwork makes the stream work. Roku is revolutionizing the way the world experiences televisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku aims to empower every television globally. With a pioneering spirit, we connect users to their favorite content, support content creators in growing their audiences, and provide advertisers with innovative ways to engage viewers.From your first day at Roku, you'll be an integral part of our journey. As a fast-growing public company, everyone here plays a crucial role. Join us in delighting millions of TV streamers worldwide while gaining invaluable experience across various disciplines. About the TeamThe Roku Data Engineering team is dedicated to building a state-of-the-art big data platform that empowers both internal and external stakeholders to leverage data for business growth. Our team collaborates closely with business partners and engineering teams to gather metrics on essential initiatives for success. As a Senior Data Engineer focused on device metrics, you will design data models and develop scalable data pipelines to capture critical business metrics across our diverse range of Roku devices. About the RoleAt Roku, we connect users to the streaming content they love and enable content publishers to monetize large audiences while providing advertisers with unique capabilities to engage consumers. Our Roku streaming players and Roku TV™ models are available worldwide through direct retail sales and partnerships with TV brands and pay-TV operators. With millions of devices sold in numerous countries, thousands of streaming channels, and billions of hours of content consumed, the development of a scalable, highly available, fault-tolerant big data platform is crucial to our success. This role is based in Bengaluru, India and requires hybrid work, with three days in the office. What You'll Be DoingDevelop and maintain highly scalable, fault-tolerant distributed data processing systems (both batch and streaming) handling terabytes of data ingested daily and managing a petabyte-sized data warehouse.Design and implement efficient data models and pipelines that support business growth and decision-making.
Chief Big Data ArchitectBengaluru, IndiaPosition OverviewHuawei is a recognized leader in both fixed and mobile network technologies. As the industry shifts towards a unified CT & IT networking paradigm, we are enhancing our R&D initiatives to develop a scalable, multi-tenant computing and communication infrastructure platform, specifically designed to meet the diverse requirements of our CT & IT clientele.We are seeking talented architects to join our Big Data team at the Huawei India R&D center, where you will play a pivotal role in advancing our big data platform solutions.If you have a passion for big data storage technologies, such as distributed file systems and noSQL data stores, alongside experience with open-source projects like HDFS and HBase, this is an opportunity to lead architectural design, tackle complex technical challenges, and contribute to innovative solutions at Huawei.Key Responsibilities:Collaborate closely with the Product/Platform team in China and the R&D team in the USA to:· Define short-term and long-term business roadmaps for Big Data, addressing customer pain points and delivering competitive products.· Architect and design the next generation of storage engines that are secure, reliable, and scalable.· Analyze challenges in big data storage and innovate solutions for distributed storage engines through POCs and partnerships.· Rapidly iterate on new designs and technologies, delivering prototypes and releases.Qualifications:15+ years of relevant experience in big data and distributed systems.Strong analytical and problem-solving skills.Bachelor's degree or higher in Computer Science or a related field.
