Staff Software Engineer - Identity and Access Management

Join Databricks as a Lead Security Architect and play a pivotal role in fortifying our IT infrastructure. In this fast-paced environment, you will design and implement a secure and scalable architecture to safeguard our corporate assets. Your focus will encompass crucial aspects of IT security, including Identity and Access Management (IAM), Zero Trust architecture, and endpoint security, all while ensuring the protection of critical business applications and sensitive data.Your deep expertise in security principles and comprehensive understanding of the entire infrastructure stack will be invaluable in crafting robust security solutions that are future-ready. You will help enhance the resilience and integrity of our systems against the ever-evolving cyber threat landscape.This position is critical for shaping our security strategy across various modern platforms including AWS, Azure, GCP, and SaaS solutions. You will establish a strong least privilege (PoLP) model, provide specialized IAM expertise, and securely support SaaS with sensitive information. Additionally, you will contribute to our internal strategy for secure AI development.Collaboration with cross-functional teams is essential to embed security throughout the technology stack, ensuring that our internal strategies align with enterprise security standards.

At Databricks, we are dedicated to empowering data teams to tackle some of the most significant challenges in the world—from realizing the next mode of transportation to accelerating medical innovations. Our mission is to build and operate the premier data and AI infrastructure platform, enabling our customers to harness deep data insights for business enhancement. Our engineering teams create technical products that address real-world needs. We continually push the limits of data and AI technology while ensuring the security and scalability essential for our customers' success on our platform. We manage one of the largest-scale software platforms, operating millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Our software is designed to seamlessly shield our customers from cloud hardware, network, and operating system faults. As a member of the Observability team, you will craft observability solutions that deliver insights into the health and performance of our products and infrastructure.

P-97 At Databricks, we are dedicated to empowering data teams to tackle the most significant challenges facing the world today. We achieve this by creating and managing the premier data and AI infrastructure platform, enabling our clients to harness profound data insights to enhance their operations. Our commitment to innovation drives us to constantly explore the edges of data and AI technology while maintaining the resilience, security, and scalability essential for our customers to thrive on our platform. With one of the largest software platforms globally, our infrastructure comprises millions of virtual machines, producing terabytes of logs and processing exabytes of data daily. Given our scale, we routinely encounter faults in cloud hardware, networks, and operating systems, and our software must adeptly shield our clients from these issues. In the role of Performance Engineer, you will collaborate extensively with various teams across the organization to assess the performance of products and features. You will identify performance bottlenecks and partner with engineers to address performance and scalability challenges. This includes establishing performance targets for different software releases, guiding teams in developing performance benchmarks, conducting competitive benchmark analyses for various Databricks products, and performing in-depth analyses to diagnose and rectify performance issues.

Join Databricks as a Staff Software Engineer focused on Backend development, where you'll play a crucial role in enabling data teams to tackle some of the world's most challenging problems, ranging from security threat detection to cancer drug development. Our mission is to build and operate the world's leading data and AI infrastructure platform, allowing our customers to concentrate on the high-value challenges central to their missions.Founded in 2013 by the original creators of Apache Spark, Databricks has rapidly expanded from a small office in Berkeley, California, to a global powerhouse with over 1,000 employees. Our platform is trusted by thousands of organizations, from startups to Fortune 100 companies, making us one of the fastest-growing SaaS companies worldwide.As part of our engineering team, you'll develop and maintain highly technical products that address significant real-world needs. We constantly push the limits of data and AI technology while ensuring the resilience, security, and scalability essential for our customers' success.Our software operates at an impressive scale, managing millions of virtual machines and processing exabytes of data daily. We frequently encounter cloud hardware, network, and operating system faults, and it is vital that our software effectively shields customers from these issues.As a Backend Software Engineer, you'll collaborate closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform. Your responsibilities will include writing software in Scala/Java, building data pipelines using Apache Spark and Apache Kafka, integrating third-party applications, and interacting with cloud APIs such as AWS and Azure.Possible teams you could join include:Data Science and Machine Learning Infrastructure: Develop services and infrastructure that blend machine learning and distributed systems, empowering collaborative workspaces, notebooks, IDE integrations, and project management tools.Compute Fabric: Create resource management infrastructure that supports big data and machine learning workloads in a robust, flexible, secure, and cloud-agnostic manner, managing millions of virtual machines.

At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems—from revolutionizing transportation to accelerating medical breakthroughs. Our mission is realized by providing the world’s premier data and AI infrastructure platform, enabling customers to harness deep data insights for business enhancement. Our Search technologies are integral to this mission, facilitating keyword retrieval, semantic similarity through vector embeddings, and hybrid solutions that blend both methods. These capabilities enable users to discover and comprehend information across vast, intricate datasets, powering applications such as Retrieval Augmented Generation (RAG), AI assistants, recommendation systems, enterprise knowledge management, in-product search, and data exploration. As a Senior Engineering Manager for Search, you will be pivotal in designing and scaling our next-gen Search product, which includes Vector Search, Keyword Search, and Search Quality. You will lead the development of a robust, high-performance, cost-effective, and developer-friendly Search stack, equipping customers to create AI applications with precision, speed, and scalability. In addition to hands-on contributions, you will help define the long-term vision, mentor senior engineers, collaborate across teams, and spearhead strategic initiatives that enhance the technical and business impact of Search at Databricks.

P-57 At Databricks, we are passionate about empowering data teams to tackle the world's most challenging problems. Our mission is to create and operate the premier data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their objectives. Founded in 2013 by the original creators of Apache Spark, Databricks has expanded from a small office in Berkeley, California, to a global powerhouse with over 1,000 dedicated employees. Thousands of organizations, from small startups to Fortune 100 companies, rely on Databricks for their critical workloads, establishing us as one of the fastest-growing SaaS companies globally. Our engineering teams are committed to developing highly technical products that meet significant needs in the industry. We continuously push the limits of data and AI technology while ensuring resilience, security, and scalability—key factors in ensuring our customers' success on our platform. We manage one of the largest software platforms in existence, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system issues, necessitating that our software effectively shields our customers from such challenges. As a Data Scientist on the Data Team, you will play a crucial role in fostering a data-driven culture at Databricks by working on the company's top priorities. The Data Team also acts as an internal customer, utilizing Databricks to shape the future direction of our products. Your Impact: Analysis at the speed of thought: Enhance decision-making capabilities by developing robust data science tools for business leaders, analysts, and fellow data scientists. Extend capabilities of Databricks: Collaborate closely with the Data Platform and Product Engineering teams to integrate data science tools with existing offerings and the core product. Strategic business insights: Spearhead insight generation for key company priorities and essential engineering initiatives focusing on reliability and efficiency. Gather evolving requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical stakeholders. Mentor and guide junior data scientists on the team regarding project planning, technical decisions, and reviews of code and documentation. Represent the data science discipline across the organization, advocating for a more data-driven approach. Act as a representative for Databricks at academic and industry events.

P-1125 Summary At Databricks, we are committed to empowering data teams to tackle the world’s most challenging issues, from detecting security threats to advancing cancer drug development. Our mission involves constructing and operating the leading data and AI infrastructure platform, enabling our clients to concentrate on the critical challenges that define their objectives. Our engineering teams create sophisticated products that meet significant real-world needs. We continually push the frontiers of data and AI technology while ensuring resilience, security, and scalability—key elements for our customers' success on our platform. Customers entrust Databricks with their most sensitive data, and our Trust & Safety team is dedicated to crafting the most reliable data analytics and machine learning platform globally. Security Engineering plays a pivotal role in this mission, safeguarding customer data against malicious actors. We seek visionary leaders to shape the strategy and direction of this critical area. The impact you will have: Enhance the security of Databricks for our clients by identifying and addressing vulnerabilities within our infrastructure and services. Attract elite talent from across the industry. Serve as a prominent advocate for the security engineering discipline throughout the organization, making data-driven decisions. Represent Databricks at academic and industry conferences and events. What we look for: A minimum of 10 years of experience in Data Security or related fields, with expertise in two or more of the following areas: Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, and Detection & Response. Proven experience in building systems at large-scale internet companies is a significant advantage.

P-1124 Summary At Databricks, we are driven by a passion for empowering data teams to tackle some of the most challenging problems in the world, spanning from security threat detection to advancements in cancer drug development. We achieve this by constructing and managing a top-tier data and AI infrastructure platform, enabling our customers to concentrate on their high-value missions. Our engineering teams are dedicated to creating highly technical products that address significant needs in the world. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers’ success on our platform. Customers place their trust in Databricks with their most sensitive data, and our Trust & Safety team is committed to establishing the world’s most reliable data analytics and machine learning platform. Security Engineering plays a pivotal role within Trust & Safety, working diligently to safeguard customer data from malicious threats. We are seeking seasoned leaders like you to craft the vision and define the strategy for this critical area. The impact you will have: Enhance the safety of Databricks for our customers by identifying and addressing critical vulnerabilities in our infrastructure and services. Attract industry-leading talent to our team. Serve as a representative for the security engineering discipline throughout the organization, advocating for a data-driven approach. Represent Databricks at academic and industry conferences and events. What we look for: A minimum of 7 years of experience in Data Security or related fields, with expertise in at least two of the following areas: Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Proven experience in building systems at large-scale internet companies is highly desirable. ...

About Contextual AI At Contextual AI, we are pioneering a transformative approach to how AI Agents operate by addressing one of the most significant challenges in artificial intelligence: context. Providing the right context at the right moment is crucial for achieving the precision and scalability that enterprises demand from AI technologies. Our innovative enterprise AI development platform bridges the gap between cutting-edge AI research and practical developer requirements. This comprehensive platform empowers AI developers to seamlessly and accurately ingest and query documents from vast enterprise data sources, integrating retrieval outcomes into their business workflows. Founded by the trailblazers behind Retrieval-Augmented Generation (RAG), a foundational technique that connects foundational models with current and pertinent information, Contextual AI is at the forefront of the enterprise AI revolution. Supported by visionary venture capitalists, we are not merely participating in this evolution; we are shaping its future. Join us in crafting a world where AI goes beyond answering queries to fundamentally transforming business operations. Job Overview We are seeking a dedicated Security Software Engineer who will be instrumental in developing core product features while infusing deep security expertise into every facet of our AI systems and platforms. This role predominantly focuses on software engineering and necessitates extensive security knowledge. You will create customer-facing features while ensuring our platform meets the highest security standards. Your contributions will directly enhance platform functionality, integrating security considerations into every aspect of your work. This role offers a unique opportunity to be at the cutting edge of cybersecurity within the dynamic realm of artificial intelligence. What You Will Do: Develop production code for security features, including authentication systems, authorization frameworks, encryption services, and data privacy controls. Design and implement robust security architectures for our AI systems, covering authentication, access controls, and identity management. Work closely with the Engineering team to ensure all released features are secure by design. Collaborate with cross-functional teams to integrate security into the software development lifecycle and DevOps processes. Provide education and training for engineering and product teams regarding security best practices, policies, and procedures. What We Are Looking For: Bachelor's or Master's degree in Computer Science, Information Security, or a related field. A strong foundation in software engineering with security expertise, including 5+ years of production experience and proficiency in programming languages such as Python, Java, or C/C++. A deep understanding of cybersecurity principles and industry standards.

Harness, the leading AI Software Delivery Platform, is spearheaded by innovator and entrepreneur Jyoti Bansal, known for founding AppDynamics, which was acquired by Cisco for $3.7 billion. With approximately $570 million raised in funding and a valuation of $5.5 billion, Harness is supported by top-tier investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI rapidly advances code generation, the actual bottleneck now lies in the post-coding phase—encompassing testing, deployments, security, reliability, compliance, and cost optimization. Harness leverages AI and automation to enhance this "outer loop," empowering teams to deliver software more swiftly while ensuring robust security and governance throughout the software delivery lifecycle.The Harness Platform, driven by Harness AI and a comprehensive Software Delivery Knowledge Graph, integrates deep context and intelligent automation at every stage of the software delivery process, ensuring governance and policy-driven controls are inherently embedded.In the past year alone, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and 3 trillion secured API calls, managing $2.8 billion in cloud expenditure. Our esteemed customers, including United Airlines, Morningstar, and Choice Hotels, have experienced up to 75% faster release cycles, 60% reductions in cloud costs, and a tenfold increase in DevOps efficiency.With a diverse team spanning 14 offices across 25 countries, Harness is at the forefront of redefining AI software delivery, and we are on the lookout for exceptional talent to help accelerate our journey.Position SummaryAs a Security Engineer on the Security Operations team, you will collaborate across departments to develop and manage security tools and processes. Drawing on extensive expertise in systems, automation, and security, you will oversee technology operations, design solutions, and ensure ongoing compliance on a large scale. In this role, you will lead efforts to enhance visibility into Harness' security posture, automate key security technologies, and drive continuous improvements across our technical infrastructure. Your responsibilities will include designing solutions that align with Harness' security objectives, collaborating closely with engineering teams to meet project goals, and leading cross-team initiatives alongside Engineering and Product. This position offers a unique opportunity to refine existing skills and acquire new ones as the company continues to grow.

Join Databricks as a Senior Manager of Identity & Access Management (IAM)!At Databricks, we are on a mission to empower data teams to tackle the world's most challenging problems. As the Lakehouse company, we serve over 7,000 organizations globally, including industry leaders like Comcast, Condé Nast, and H&M. Our Lakehouse Platform uniquely combines data, analytics, and AI, enabling businesses to thrive in the digital age. Headquartered in San Francisco, our reach extends across the globe, driven by the original creators of Apache Spark™, Delta Lake, and MLflow. To learn more about us, visit www.databricks.com.About the RoleWe are seeking a visionary Senior Manager of Identity & Access Management (IAM) to spearhead our enterprise-wide identity, authentication, authorization, and access governance initiatives. This pivotal role entails defining the strategy, architecture, and execution of IAM capabilities that support our diverse stakeholders, including employees, customers, and global platform services. As our organization expands, IAM will become a cornerstone of our security framework and customer trust. You will ensure our identity systems are secure, user-friendly, scalable, and aligned with Zero Trust principles.This leadership position demands cross-functional collaboration with engineering, security, IT, compliance, and product teams to deliver reliable and secure identity services by default. Elevate your career with us and make a significant impact!

P-1124 Summary At Databricks, we are passionate about empowering data teams to tackle the world's most challenging issues, from detecting security threats to advancing cancer drug development. We achieve this by developing and maintaining the leading data and AI infrastructure platform, allowing our clients to concentrate on the critical challenges that define their missions. Our engineering teams are dedicated to creating highly sophisticated products that address genuine, vital needs in society. We continually explore the frontiers of data and AI technology while ensuring the resilience, security, and scalability essential for our customers' success on our platform. Clients trust Databricks with their most valuable data, and the Trust & Safety team is committed to establishing the most reliable data analytics and machine learning platform globally. Security Engineering plays a pivotal role within Trust & Safety, crucially safeguarding customer data from malicious threats. We seek senior leaders to craft the vision and define the strategy for this crucial domain. The impact you will have: Enhance the safety of Databricks for our customers by identifying and addressing critical gaps in our infrastructure and services. Attract top-tier talent from across the industry. Serve as a key advocate for the security engineering discipline throughout the organization, promoting a data-driven approach. Represent Databricks at academic and industry conferences and events.

Moveworks seeks a Software Engineer to join its team in Mountain View, CA. The position focuses on improving user experiences and supporting day-to-day business operations. Role overview This engineer will collaborate with colleagues from various backgrounds to design and build new technical solutions. The work centers on creating tools and features that help streamline business processes. What you will do Work closely with other engineers and professionals to develop new products and features Contribute to projects that improve the efficiency and effectiveness of business operations Use modern technologies to address practical challenges Location This position is based in Mountain View, CA.

Company OverviewID.me is pioneering the future of digital identity with our innovative digital wallet that simplifies the secure online identity verification process. With over 152 million users, we facilitate seamless logins across various platforms without the need for repeated identity verification. Our technology is trusted by 20 federal agencies, 45 state government agencies, and over 70 healthcare organizations. With a mission to ensure that 'No Identity Left Behind', we are committed to empowering individuals with secure digital identities. For more information, visit https://network.id.me/.Role OverviewID.me is on the lookout for a Product Security Engineer to enhance our Product Security team. This role is perfect for those who thrive in technical environments and are passionate about developing security solutions and tackling complex security challenges. As a leading identity platform, we handle a substantial amount of sensitive Personally Identifiable Information (PII), making this position crucial in defending against sophisticated threats and ensuring the resilience of our products at scale.We seek a highly proficient security engineer who excels in addressing security challenges in software and cloud environments, implementing automation, and managing intricate technical projects. As a Product Security Engineer, you will be an authority in delivering production-ready technology solutions, resolving complex issues, and conducting thorough security assessments that enhance the security posture of our products. Your contributions will significantly impact the safety and trust of millions of users across the nation.This role requires full-time in-office attendance at our Mountain View, CA or McLean, VA locations.

Join Databricks, a leader in data analytics, as a Senior Financial Analyst within our General & Administration Financial Planning and Analysis (FP&A) Team. This pivotal role involves partnering with various departments to provide financial insights and guidance that drive investment decisions and fuel business growth.You will report to the Senior Finance Manager and be instrumental in enhancing forecast accuracy, refining corporate reporting, and collaborating with IT, People, and Legal teams. Your expertise will help ensure the organization meets its goals through data-driven financial modeling and analysis.Your Impact:Act as a primary finance partner to leaders in IT, People, and Legal, facilitating accurate forecasts.Take ownership of budget versus actual variance analysis and relevant reporting.Develop and maintain detailed financial models to assess functional costs and their cross-functional impacts.Collaborate with Accounting on accruals and assist in the month-end close process.Manage strategic projects and ad hoc requests to empower senior leaders in decision-making.Contribute to the company's long-range strategic planning initiatives.Lead initiatives for process and system improvements to support ongoing growth.

Moveworks is looking for a DevOps Software Engineer in Mountain View, CA. This position centers on improving and maintaining cloud-based solutions for the team and clients. Role overview As a DevOps Software Engineer, collaboration with various teams will be part of daily work. The main focus is on automating processes, refining deployment pipelines, and supporting smooth integration of software components. What you will do Work with cross-functional groups to automate workflows and deployments Optimize the deployment pipeline for reliability and efficiency Help integrate software components to ensure stable releases Impact Expertise in DevOps practices will help maintain high service standards for clients and support ongoing improvements to cloud-based offerings.

Join our innovative team at dev2 as a Backend Software Engineer. In this role, you will have the opportunity to work on cutting-edge technologies and develop scalable applications that make a difference. Your expertise will contribute to our mission of delivering high-quality software solutions.

Role Overview Otter.ai is looking for a Frontend Engineer to join the team in Mountain View, CA. This role focuses on building and improving user interfaces for Otter.ai’s transcription services. What You Will Do Design and implement intuitive, accessible web interfaces Work closely with teams across engineering, product, and design to deliver features Help shape the user experience for a product used to improve communication Location This position is based in Mountain View, CA.

The OpportunityAre you a seasoned Staff Software Engineer with a strong background in product development, eager to make a profound impact at the convergence of scalable web services and groundbreaking AI technologies? We are on the lookout for a skilled engineer to spearhead the development, deployment, and management of web services and infrastructure that empower AI-driven products and initiatives. As a vital part of our dynamic engineering team, you will collaborate closely with AI researchers, product managers, and technologists to deliver innovative solutions that revolutionize the experiences of end-user professionals and enterprise clients across a wide array of industries.Your ImpactUtilize your extensive experience in Python to develop and enhance backend systems that integrate seamlessly with machine learning and AI-driven functionalities.Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with MySQL.Architect scalable solutions employing technologies such as Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to support sophisticated AI models and workflows.Craft reusable, efficient, and maintainable code that underpins our high-performance web services and bolsters real-time AI analytics.Work closely with AI teams to optimize data pipelines, enhance model deployment, and ensure backend systems effectively support AI-based product features.Communicate proficiently with stakeholders across multiple teams, articulating technical strategies related to AI-enabled infrastructure.