P-1124 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 9+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Le
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P-1126 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 9+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Le
P-1126 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 9+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Le
P-1137 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 1500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 5+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance,
NVIDIA is well positioned as the 'AI Computing Company', our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We are looking for a Senior AI Infrastructure Test Development Engineer to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage 10s of 1000s of resources in a simple and controlled fashion, allowing engineers to focus on engineering and automation, rather than being burdened by manual operational tasks. The AI infra test developer engineers at NVIDIA are responsible for creating test plans, execution, and reporting, as well as developing scripts for test automation, designing and developing tools for the QA team, and developing integration tests for validation. As a test developer, you must identify weak spots and constantly design better and more creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. The ideal candidate must have strong programming skills and hands-on experience using AI development tools to improve quality and productivity across the end-to-end QA workflow. This includes leveraging AI assistants for test automation, code generation, debugging, and enhancing testing efficiency. During the interview process, we will assess your ability to effectively use AI development tools and evaluate your programming capabilities to ensure you can deliver high-quality solutions. What you’ll be doing: Architect, implement, and evolve scalable agentic end to end SWQA workflow, automated test frameworks, infrastructure, and tooling for complex software products. Define test strategy and quality gates across functional, integration, regression, reliability, and release-validation workflows. Build and maintain high-value automated coverage for Linux-
NVIDIA is well positioned as the 'AI Computing Company', our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We are looking for a Senior AI Infrastructure Test Development Engineer to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage 10s of 1000s of resources in a simple and controlled fashion, allowing engineers to focus on engineering and automation, rather than being burdened by manual operational tasks. The AI infra test developer engineers at NVIDIA are responsible for creating test plans, execution, and reporting, as well as developing scripts for test automation, designing and developing tools for the QA team, and developing integration tests for validation. As a test developer, you must identify weak spots and constantly design better and more creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. The ideal candidate must have strong programming skills and hands-on experience using AI development tools to improve quality and productivity across the end-to-end QA workflow. This includes leveraging AI assistants for test automation, code generation, debugging, and enhancing testing efficiency. During the interview process, we will assess your ability to effectively use AI development tools and evaluate your programming capabilities to ensure you can deliver high-quality solutions. What you’ll be doing: Architect, implement, and evolve scalable agentic end to end SWQA workflow, automated test frameworks, infrastructure, and tooling for complex software products. Define test strategy and quality gates across functional, integration, regression, reliability, and release-validation workflows. Build and maintain high-value automated coverage for Linux-based, containeriz
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Technical Program Manager Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Service Delivery is a team of Systems Platform Engineers responsible for the analysis, design and build of the application infrastructure framework to fit the application, platform or system needs in-line with MasterCard's operational standards and principles. TPM will work with the development teams and other critical teams within Mastercard to ensure that the completed infrastructure and application architecture aligns with MasterCard’s security, scalability and availability standards. TPM deliverable are the managing the Infrastructure deliver program of Java Run time environments
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for 30 years. It’s an outstanding legacy of innovation that’s motivated by great technology—and outstanding people. Today, we’re harnessing the boundless possibilities of AI to build the next era of computing in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Be part of the team and explore how you can make a lasting impact on the world! We are looking for a Senior Manager, Software Engineering to lead the evolution of our DevOps, Build Engineering and Infrastructure team. You will build and guide a high-performing engineering team responsible for building, testing, verifying and releasing core software that help NVIDIA employees deliver the core CUDA driver, runtime, and related language specific libraries in C++, Python and Rust such as CCCL (Thrust, CUB, libcudacxx), cuda-python, numba-cuda, and cuda-rust. This hands-on leadership role combines people development, CI/CD, technical strategy, architecture, and end-to-end operational ownership. What you’ll be doing: Lead, hire, mentor, and grow a high-performing team of engineers building employee-facing products software development, CI/CD, and agentic AI experiences. Define the engineering vision, architecture, multi-quarter roadmap, and success measures for a cohesive developer experience and the platform serving a global workforce. Plan and manage team execution, including project prioritization, workload balancing, achievement tracking, dependency management, and predictable delivery. Provide hands-on technical leadership across Perforce, Git, GitHub, GitLab, and multiple CI/CD pl
At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: The Multifamily Data organization is seeking a Senior Business Lead, Data Governance Strategy & Execution to help shape and execute the future of data governance across Multifamily. As Multifamily expands self-service access to data and enables new analytics, automation, and AI capabilities, trusted and well-governed data has become a strategic business imperative. This role will lead efforts to evolve governance from manual processes and one-time reviews into scalable capabilities embedded within our data platform, data products, and delivery processes. Working across business, technology, risk, privacy, compliance, and data teams, this leader will drive the strategy and execution needed to ensure Multifamily data is trusted, transparent, reusable, and fit for purpose. The role will also help establish the governance foundations necessary to support responsible AI adoption and ensure alignment between data governance and emerging AI governance requirements. Our Impact: Multifamily Data is transforming how data is managed, delivered, understood, and consumed across the business. Our mission is to provide a trusted data foundation that enables better business decisions, operational efficiency, regulatory compliance, advanced analytics, and AI-driven innovation. Through modern data platforms, trusted data products, and strong governance practices, we are improving transparency, strengthening data quality, and making data easier to discover, understand, and use. As Multifamily continues its data modernization journey, governance must evolve alongsi
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Global Quality (GQ) Non-Volatile Memory Quality Reliability Assurance (NVMQRA) Returned Material Authorization (RMA) Failure Analysis (FA) Engineer at Micron Technology, you will perform advanced system-level failure analysis of customer-returned products while leveraging AI-enabled diagnostic tools, data analytics, and automation technologies to accelerate root-cause determination. You will collaborate with cross-functional engineering teams to drive corrective actions, quality improvements, and customer satisfaction initiatives. In addition, you will lead strategic projects focused on AI transformation, process automation, operational excellence, and continuous improvement of Failure Analysis capabilities across the organization. Responsibilities and Tasks Perform FA of Customer Returns • Understand customer failure mode and observed fail conditions • Perform initial FA, including usage of Agentic-AI tool • Replicate customer test environment • Perform Automated Test Equipment (ATE) analysis and interpret results • Perform detailed fault isolation once failure has been confirmed • Collaborate with cross-functional resources and support groups to identify root cause and corrective action • Summarize findings and submit for Component / Firmware / Module FA Provide FA Diagnostic Reports to Internal Customers • Verify summarize analysis at electrical and physical level • Identify potential risks
At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: The Seller Engagement Division is seeking a Seller Technology Representative Senior. The Senior works directly with a group of assigned lenders to manage their operational needs dealing with any integrations with Freddie Mac. Additionally, they are responsible for establishing relationships with these lenders to provide responsible lending technology solutions. The Seller Technology Representative Senior will manage a portfolio of customers inside one of the Division Pods, each of which might span multiple products and/or vendor technologies. This position will directly support the goals and objectives of the division and Freddie Mac. Our Impact: The Seller Engagement Team is constructed of six pods (geographic state distributions) across two divisions (East and West). A pod supports all the approved lenders in their assigned states. These pods are committed to ensuring Freddie Mac is supporting our clients to maximize their operational efficiency, lower their origination costs, deliver quality loans to Freddie Mac, and maximize technology solutions. Your Impact: In this role, you will be an integral part of an account team working directly with lenders to complete the following: Maintain in-depth understanding of customer/industry trends and needs, as well as Freddie Mac strategic objectives and technology solution roadmap Partner with your POD / Division to facilitate the transition from technology sales to integration Conduct detailed process reviews to map, imbed and optimize the assimilation of new tools a
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Backend Engineer on the Plan: Spec-Driven Development team, you'll help build GitLab's intent-to-code loop: agentic workflows that turn a stated intent into a refined work item, an implementation plan, and verified, mergeable code. You'll own early-stage backend work across the flows, application programming interfaces, data models, and evaluation systems behind this experience, using Ruby on Rails, Python, PostgreSQL, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway. You'll join a small, distributed team working on one of GitL
Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing Partner with business stakeholders, technology leaders, development teams, and vendors to define technology roadmaps, assess platforms, and design scalable, secure, and reliable commerce architectures aligned with business objectives. Lead the architecture and delivery of complex B2B and B2B2C commerce solutions, including integrations with ERP, CRM, PIM, and other enterprise systems, while ensuring adherence to enterprise standards and best practices. Provide technical leadership across the software development lifecycle through solution design, architecture reviews, code reviews, and governance. Maintain a hands-on role in application development and support while mentoring teams on engineering standards and platform optimization. Evaluate emerging technologies, lead proof-of-concept initiatives, and serve as a trusted advisor to business and IT stakeholders, driving innovation, modernization, and operational excellence. What You Bring Bachelor’s degree in Computer Science, Information Systems, or a related technical discipline. 10+ years of progressive experience in enterprise applications, digital commerce, solution architecture, software engineering, or related technical fields, including experience leading architecture strategy, platform modernization initiatives, and large-scale global technology programs. Deep expertise with SAP Commerce Cloud (Hybris), including platform
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Backend Engineer on the Plan: Spec-Driven Development team, you'll help build GitLab's intent-to-code loop: agentic workflows that turn a stated intent into a refined work item, an implementation plan, and verified, mergeable code. You'll own early-stage backend work across the flows, application programming interfaces, data models, and evaluation systems behind this experience, using Ruby on Rails, Python, PostgreSQL, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway. You'll join a small, distributed team working on one of GitL
Senior FP&A Analyst (Pune) About The Role The Senior FP&A Analyst is a key partner to Finance leadership and the wider business, driving data-driven decision making through planning, forecasting, and analysis. This role owns core FP&A processes, including budgeting, forecasting, management reporting, and variance analysis, and builds the financial models and insights that shape strategic and operational decisions across Showpad. What You’ll Do Develop and monitor key financial and business performance metrics (ie. ARR, bookings, EBITDA margin, and operating expenses). Perform monthly and quarterly variance analysis (actuals vs. budget and forecast), explaining key drivers and trends to Finance leadership and business partners. Build and maintain financial models for revenue, headcount, and operating expenses to support budgeting, scenario planning, and forecasting. Manage the planning, forecasting and reporting processes across Showpad, both long-term and short-term, including but not limited to Quarterly Forecasts and the Annual Operating Plan. Ensure the accuracy and completeness of company financial data, and contribute to identifying ways to remediate inconsistencies and streamline processes. Identify actionable insights, suggest recommendations and influence the direction of the business by effectively communicating findings to cross-functional groups. Build relationships with other departments and work together to establish best practices, proactively identify opportunities and streamline current processes & tools. What You Bring A Bachelor’s degree in Finance, Accounting, Economics, or a related field; a professional qualification (CFA, CPA, MBA) is a plus. A mastery of Excel and g-sheets; must possess the ability to produce dynamic models and perform sensitivity analyses. 3-5 years of experience in Corporate FP&A or a closely related finance function, ideally at a SaaS or technology company. Experience with reporting, budget process, and
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