Senior Staff Software Engineer, Systems Infrastructure

Who We Are Samsara (NYSE: IOT) leads the way in the Connected Operations™ Cloud, a transformative platform that empowers organizations reliant on physical operations to leverage Internet of Things (IoT) data for actionable insights. Our mission at Samsara is to enhance the safety, efficiency, and sustainability of the physical operations vital to our global economy. Covering over 40% of global GDP, our focus spans industries such as agriculture, construction, field services, transportation, and manufacturing, and we are thrilled to facilitate their digital transformation on a broad scale. Joining Samsara means you will play a crucial role in shaping the future of physical operations, collaborating with a team dedicated to developing innovative product solutions, including Video-Based Safety, Vehicle Telematics, Applications and Driver Workflows, and Equipment Monitoring. As part of a publicly traded company, you will enjoy the autonomy and support necessary to make a significant impact as we build for the long term.About the Role: Samsara Technologies India Private Limited seeks a Staff Engineer to join our Platform & Infrastructure team, responsible for building the fundamental systems that drive our software products. This includes areas like Reporting, Automation, and Enterprise capabilities to support our rapidly expanding customer base, alongside foundational infrastructure capabilities such as container orchestration, data storage, real-time data ingestion, and GraphQL execution to enhance Samsara engineering. As a Staff Engineer at Samsara, you will lead the technical direction of the organization, serving as a technical authority that introduces innovative ideas and expertise to guide the team’s technical design and architecture, enabling increasingly complex features and customer use cases. You will collaborate on critical projects essential to Samsara’s needs with other highly skilled engineers, advancing our technical capabilities.

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-1346 At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging issues—from transforming transportation to spurring medical advancements. We achieve this by developing and managing an unparalleled data and AI infrastructure platform, enabling our clients to leverage profound data insights for business enhancement. Founded by engineers with a strong customer focus, we eagerly embrace every chance to address technical challenges, whether it's designing next-gen UI/UX for data interaction or scaling our services across millions of virtual machines. Databricks Mosaic AI presents a distinctive data-driven approach to constructing enterprise-grade Machine Learning and Generative AI solutions, allowing organizations to securely and cost-effectively own and manage ML and Generative AI models, enriched with their enterprise data. We're expanding rapidly in Bengaluru, India, with plans to establish 14 new teams from the ground up! As a Staff Software Engineer in our Infrastructure team at Databricks India, you will have the opportunity to engage in: Backend (Infrastructure) Your Impact: Our Infrastructure Backend teams encompass diverse areas within our core service platforms. You may face challenges such as: Addressing issues that range from product to infrastructure, including distributed systems, large-scale service architecture and monitoring, workflow orchestration, and enhancing developer experience. Delivering reliable, 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 dependable, scalable services (e.g., Scala, Kubernetes) and data pipelines (e.g., Apache Spark™, Databricks) to support the pricing infrastructure that processes millions of cluster-hours daily while developing product features that allow customers to easily monitor and manage platform usage.

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.

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.

Join our dynamic team at Harvey as a Staff Software Engineer, specializing in Core Infrastructure. In this vital role, you will be responsible for designing, building, and optimizing robust infrastructure solutions that support our innovative software products. Your expertise will contribute to enhancing the reliability and scalability of our systems as we continue to grow.We are looking for a professional who is passionate about technology and eager to tackle complex challenges. If you thrive in a collaborative environment and are driven to make a significant impact, we want to hear from you!

Join 6sense, a cutting-edge tech company, as a Staff Software Engineer specializing in Infrastructure and DevOps. In this role, you will play a vital part in developing robust infrastructure solutions and implementing best practices in DevOps to enhance our software development lifecycle.Your expertise in cloud services, automation, and continuous integration/continuous deployment (CI/CD) will be essential in driving our projects forward. Collaborate with cross-functional teams to ensure our systems are scalable, reliable, and secure.

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.

Empower Every Identity, from AI to HumanAt Okta, we believe that identity is the cornerstone of unlocking the full potential of AI. Our mission is to secure AI by creating a trusted and neutral infrastructure that allows organizations to confidently navigate this transformative era. We seek innovative builders who thrive on tackling complex challenges that have significant real-world implications. If you share our commitment to this mission, we want to hear from you.Position OverviewWe are in search of a seasoned Staff Software Engineer to join our cutting-edge Imports Platform team. This team is pivotal in modernizing Okta's identity lifecycle management capabilities by transitioning from a legacy monolithic architecture to a robust, scalable microservices platform. This essential service manages the importing, synchronization, and provisioning of identities and access policies—covering users, groups, roles, and entitlements—from external directory services such as Active Directory, Office 365, and LDAP-based systems.As a Staff Software Engineer within the Imports Platform team, you will serve as a technical leader who takes full ownership of projects from inception through architectural design to implementation, deployment, and operational excellence. You will influence technical strategy, make crucial architectural decisions, and impact both your immediate team and broader organizational initiatives. Your work will involve navigating complex distributed systems challenges, including large-scale batch processing, real-time synchronization, and user matching algorithms that cater to thousands of enterprise clients.This role demands exceptional technical leadership, strategic foresight, and a balanced approach to short-term project delivery alongside long-term platform sustainability. You will mentor both senior and junior engineers, collaborate with Product Management on feature strategies, and play a key role in shaping the future of Okta's Imports platform.This position offers a hybrid work environment, blending remote and in-office collaboration.

About EarnInAs a trailblazer in earned wage access, EarnIn is dedicated to creating innovative products that offer real-time financial flexibility for individuals managing the challenges of living paycheck to paycheck. Our community members can access their earnings as they earn them, with the freedom to spend, save, and grow their finances without mandatory fees, interest rates, or credit checks.We are privileged to have an exceptional leadership team and strong financial backing from top-tier partners such as A16Z, Matrix Partners, DST, Ribbit Capital. With a robust core business and significant growth potential, we are rapidly expanding and eager to onboard world-class talent to help shape our future.POSITION SUMMARYWe are seeking a Staff Backend Engineer to join our Money Platform team at EarnIn. This team is focused on integrating various financial components into a centralized system that supports multiple products. You'll collaborate with global teams to develop secure, scalable services that facilitate fast, compliant, and reliable financial operations.This role will be hybrid, requiring 2+ days in our Bengaluru office. EarnIn offers a comprehensive benefits package, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Mountain View HQ and Bangkok site. Our salary ranges are determined by role, level, and location.

About Tide Tide helps small and medium enterprises (SMEs) simplify banking and administration, from invoicing to accounting. The company supports over 1.8 million members across the UK, India, Germany, and France, aiming to reshape how SMEs manage their finances and daily operations. Tide serves SMEs in the UK, India, Germany, and France. Membership exceeds 1.8 million, with 800,000 in the UK and 1,000,000 in India. More than $300 million raised in funding. Global team of over 2,500 employees. Offices in Central London, with technology hubs in Sofia and locations in Serbia, Romania, Lithuania, Hyderabad, Gurugram, New Delhi, Berlin, Paris, and Luxembourg. Role Overview: Staff Software Engineer, Agentic Platform This role is based in India (Bengaluru, Delhi NCR, or Hyderabad). The Staff Software Engineer will work on Tide’s agentic platform, focusing on backend systems that connect with Generative AI. The position centers on building frameworks, standards, and platforms that enable AI capabilities to scale securely and efficiently across the organization. The scope goes beyond feature delivery, influencing long-term technical direction for AI at Tide. What You Will Do Develop core backend services for the agentic platform, including APIs, workflow orchestration, and integration with tools. Integrate third-party components to speed up delivery, while ensuring control, trust, and reusability where needed. Work closely with product, data, platform, and security teams to implement shared AI capabilities. Design services that are reliable, secure, observable, and straightforward for other teams to use. Help define and develop reusable engineering patterns for AI-enabled workflows.

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.

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...

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.

Role overview 100ms is looking for a Platform Engineer specializing in Core Infrastructure to join the team in Bengaluru. This position centers on designing and building infrastructure that supports both the reliability and performance of the 100ms platform. Collaboration with other engineering teams is a key part of the role, with a focus on improving systems, increasing scalability, and maintaining strong uptime. What you will do Design and implement infrastructure solutions for the 100ms platform Collaborate with engineering groups to enhance systems and processes Optimize infrastructure for scalability and high availability Troubleshoot and resolve complex technical challenges The team Work alongside engineers dedicated to building reliable systems and driving improvements across the platform. The team values hands-on problem-solving and a collaborative approach to infrastructure work.

Join our team at LinkedIn Corporation as a Principal Staff Software Engineer specializing in Systems Infrastructure. In this pivotal role, you will lead the design and implementation of scalable infrastructure solutions that support our vast array of services. You will collaborate with cross-functional teams to innovate and enhance our systems, ensuring they are robust, efficient, and future-proof.

Your Role:Develop and enhance core infrastructure services and microservices that have a direct impact on our machine learning, frontend, and platform engineering teams.Implement infrastructure solutions for various functionalities including distributed configuration management, rate limiting, feature flags, A/B testing, and traffic capture and replay.Optimize the performance, scalability, and observability of Moveworks' cloud infrastructure.Consistently deliver time-sensitive projects that are interdependent with other engineering teams.Take full ownership of features from inception to deployment, while influencing the infrastructure roadmap.

Join Stripe as a Staff Engineer in our Infrastructure team, where you will play a crucial role in building scalable systems that power our payments platform. You’ll work alongside talented engineers to design, implement, and optimize our infrastructure to ensure high availability and performance.

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...