Knowledge And Data Architect Jobs

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 GTM Recruiter you'll help GitLab build the go-to-market teams that drive our growth. In this individual contributor role, you'll partner with leaders across Sales, Marketing, Customer Success, Professional Services, Field Operations, Enablement and Ecosystems and own searches from intake through close. You'll build inclusive pipelines and use data and market insight to guide hiring decisions, while growing into a trusted talent advisor. What you'll do Manage full-cycle searches for Account Executives, Solutions Architects, Customer Success, Sales Development, and Sales Operations, delivering against

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. You can learn more about our vision for AI/ML at Sigma in our blog post . That’s where you come in. As an AI/ML PhD Intern , you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. We're looking for PhD students that are passionate about the intersection of AI, business, and data. What You’ll Do Conduct original AI/ML research in search, recommendations, natural language processing, agentic workflows and more Prototype and productionize AI systems that feel intuitive but do a lot under the hood Tackle novel UX problems at the intersection of AI, analytics, and data apps Contribute to the development of scalable AI/ML infrastructure for experimentation, training, and evaluation of large-scale models. What You Bring Current PhD student studying AI/ML at a U.S. accredited university Deep understanding of machine learning, including deep learning algorithms, model architectures and optimization Baseline understanding of building and deploying production-grade AI/ML systems Knowledge of the full ML lifecycle: data curation, training, deployment, monitoring Desire to bridge research and application—bringing new AI ideas from concept to impactful deployment. Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You’ve fine-tuned or trained foundation models (language or multimodal) for novel domains You know your way around cloud infrastru

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. You can learn more about our vision for AI/ML at Sigma in our blog post . That’s where you come in. As an AI/ML PhD Intern , you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. We're looking for PhD students that are passionate about the intersection of AI, business, and data. What You’ll Do Conduct original AI/ML research in search, recommendations, natural language processing, agentic workflows and more Prototype and productionize AI systems that feel intuitive but do a lot under the hood Tackle novel UX problems at the intersection of AI, analytics, and data apps Contribute to the development of scalable AI/ML infrastructure for experimentation, training, and evaluation of large-scale models. What You Bring Current PhD student studying AI/ML at a U.S. accredited university Deep understanding of machine learning, including deep learning algorithms, model architectures and optimization Baseline understanding of building and deploying production-grade AI/ML systems Knowledge of the full ML lifecycle: data curation, training, deployment, monitoring Desire to bridge research and application—bringing new AI ideas from concept to impactful deployment. Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You’ve fine-tuned or trained foundation models (language or multimodal) for novel domains You know your way around cloud infrastru

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 You'll lead GitLab's Dedicated Infrastructure team, combining hands-on technical leadership with team development. Working with the team's Product Manager, you'll balance delivery speed and quality, guide architecture decisions, and lead the team through incidents. You'll demonstrate ideas through proofs of concept, give team members meaningful feedback, and use data to make prioritization and risk decisions. What you’ll do Partner with the team's Product Manager to set clear priorities and deliver with quality and speed. Maintain at least 99.9% availability for Dedicated infrastructure, strengthen securi

Software Engineer II Location: Hyderabad Experience: 3–5 Years Role Overview Looking for a Software Engineer II with strong Java/Spring Boot development experience. Work on backend and frontend platforms supporting high-volume healthcare transactions . Full-stack experience is a plus, with Angular preferred. Key Responsibilities Develop and maintain applications using Java, Spring Boot, and REST APIs . Work with MySQL, MongoDB, and Redis . Develop integrations with internal services. Write unit and integration tests . Participate in Agile/Scrum ceremonies and production issue resolution. Collaborate with engineers, architects, and Product teams. Follow clean coding practices and established design patterns . Use AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code . Must-Have Skills 2–3 years of software development experience. Strong Java + Spring Boot . REST API development. MySQL or other relational databases. Unit & integration testing ( JUnit or equivalent). Basic AWS/cloud knowledge. Agile/Scrum experience. Strong problem-solving and debugging skills. Good to Have Angular / TypeScript MongoDB / Redis AWS: S3, SQS, RDS, EC2 GitHub Actions / CI/CD Playwright or other automation frameworks Experience with AI-assisted coding tools Ideal Candidate A hands-on Java/Spring Boot developer with good backend fundamentals, cloud exposure, strong debugging skills, and a willingness to work across the stack and adopt modern development tools. GHX: It's the way you do business in healthcare Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes. GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring tog

At Beyond Finance, we've made it our mission to help everyday Americans escape the endless cycle of crippling debt and step into a brighter financial future. Through compassionate, individualized care, a culture focused on compliance and ethics, supportive user-centric technology, and customized financial solutions, we've helped over 1 million clients on their path to a brighter future. While we're proud of what we've already accomplished, we're searching for new collaborators to help us get to the next level! If you're looking to join a forward-thinking, rapidly growing organization with helping people as its number one goal, we want to hear from you. Role Overview As a Staff Security Engineer, you'll get involved early with Product and Software Engineering teams to embed security into our architecture and processes as they design, build, and ship. You'll also be someone the Security team can pull into any project, at any phase and regardless of domain, to make sure it lands on the right security outcome. This is a hands-on role, and you don't need to be an expert in all three areas: application security, cloud security, and security automation and tooling. You should have strong, demonstrated depth in one of the three, along with enough working knowledge of the other two to contribute without hand-holding and to be a trusted voice on technical decisions outside the systems you personally own. What You'll Do Partner with Engineering, DevOps, and Product across projects, providing security input at any phase of design or build, regardless of domain. Guide secure design and code review for web and mobile applications, and help manage core AppSec tooling (SAST, SCA, secret scanning, DAST, ASM, and mobile security tooling). Help triage and remediate application-level vulnerabilities with engineering teams. Contribute to cloud security posture across the AWS environment, including IAM, network segmentation, container security, secrets, and data exposure, using CNAPP and

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 Senior Revenue Analytics Analyst, you'll be a key partner to our global Sales Strategy, Solutions Architect and Ecosystem teams, using data to improve how we engage in the pre-sales motion, tie trials of our products into consumption, and demonstrate how our Partners influence winning deals and resulting consumption. You'll translate questions from Solution Architect, Sales Strategy, and Ecosystem partners into clear analytical requirements. You'll explore customer engagement, adoption, and satisfaction data and turn findings metrics to build AI tools, analytics, and insights that Field Operations st

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with

1KOMMA5° At 1KOMMA5° , we pursue a clear vision: Living on wind and sunlight forever for free . To make this a reality, we are building the energy system of the future with Heartbeat AI. Want to be part of it? We bring together regional craftsmanship and scalable software: We don't think of solar, batteries, heat pumps, and e-mobility as isolated components, but control them as an intelligent, integrated overall system in our virtual power plant. Directly connected to the electricity market – in real time, fully automated. This way, energy is used when it is available from renewables and particularly cost-effective. By 2030, our goal is to transition 1.5 million households to renewable energies. Over 3,000 people are working towards this every day, at more than 80 locations worldwide, from Finland to Australia. Want to take responsibility and build solutions that truly matter? Apply now and help us shape the energy world of tomorrow . Become a part of our mission and learn more about our Product & Tech team! Deine Position We are looking for a Senior Software Engineer - Energy Markets to drive the technical direction of our Energy Markets workstream, with the potential to grow into a lead role. Key responsibilities include: Build and optimize backend services for VPP operations and energy market integrations Design systems at the intersection of backend and data processing pipelines Drive technical decisions and guide fellow engineers on architectural choices Navigate between data engineering, backend engineering, and energy market domains Collaborate with product managers, data engineers, and data scientists across team boundaries Dein Profil The successful candidate will have: Proven experience developing scalable backend solutions with TypeScript Data engineering fundamentals — designing systems bridging backend and data processing Hands-on experience with energy service interfaces (smart meters, optimization, load balancing) Strong knowledge of architectural pat

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com . About the role Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, Backend Development at Ad Cloud Platform Team , you will design and build scalable and performant backend architecture, own and drive the technical roadmap for sizable projects or services, mentor junior engineers, and facilitate high performance agile teams collaborating with cross-functional teams. About you [Minimum Qualifications] 2~4 years of hands-on experience in backend software development, particularly with high-performance, high-concurrency systems. Proficient in one or more of the following languages, Python is preferred. Strong experience in system design and architecture for scalable and distributed systems, especially within a Linux environment. Good understanding of Network API Design (e.g., RESTful APIs, gRPC, GraphQL) and experience with message queues (e.g., Kafka, Pub/Sub) for data pipelines. Solid knowledge of SQL/NoSQL databases (e.g., MySQL, MongoDB, Redis, ClickHouse, PostgreSQL) and experience with database optimization and scaling strategies. Familiarity with DevOps practices, including CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure). Experience with observability tools (e.g., Prometheus, Grafana) and ro

We are seeking an experienced Backend Software Engineer to join our Crawler team. In this role, you will design, develop, and operate systems that ingest, process, and manage web-scale data in support of our next generation of advanced search technologies. This is a critical, high-impact engineering position, requiring expertise across both backend and frontend components of our data acquisition stack. Responsibilities Take ownership of and lead projects focused on developing large-scale web crawlers, ingestion pipelines, and data processing systems. Build, maintain, and optimize core backend and frontend components for crawler services, including storage, retrieval, and UI dashboards for data management. Collaborate closely with Search and Infrastructure teams to ensure the reliable, high-quality ingestion and processing of billions of web pages. Architect and implement fullstack features and scalable distributed systems that handle high-load and real-time data operations. Rapidly iterate, experiment with novel approaches, and continuously enhance system performance, usability, and reliability. Qualifications Minimum of 5 years of software development experience, with strong knowledge of data structures and algorithms in at least one of the following languages: Python, C++, Rust, or Go. Experience with large-scale web crawlers is highly desirable. Proven experience building, deploying, and optimizing high-load, distributed, and hardware-adjacent services. Deep understanding of cloud infrastructure, with hands-on experience in Kubernetes (K8s) and AWS. Demonstrated passion for writing clean, efficient, and scalable systems.

SLSQ427R94 As an Enterprise Account Executive - Hunter, your primary mission will be to identify, acquire, and grow new business opportunities across multiple industries. This role is focused on securing new logos and driving revenue growth by targeting Enterprise accounts in diverse sectors. You are a proactive "hunter" who thrives on building relationships, navigating complex sales cycles, and closing high-value deals. You will work closely with cross-functional teams to deliver tailored solutions that address client needs and establish long-term partnerships. You will report to the Director, Sales in Japan. The impact you will have: Secure new Enterprise accounts across multiple industries, creating a strong foundation for long-term partnerships. Develop and execute a focused strategy for identifying and winning high-potential accounts in untapped markets. Identify and close quick wins while managing longer, complex sales cycles. Plan, document, and drive the growth of Databricks usage in newly won accounts to maximize customer impact. Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates. Use a solution-based approach to selling and creating value for customers. Develop a deep and detailed understanding of the customer's business. Provide leadership to the customer, important staff, and technical teams. Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization. Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions. What we look for: 5+ years of experience selling multi-million dollar complex software deals to the region's recognizable organizations within the Enterprise segment. Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem Background in selling usage-based PaaS/ Saa

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Product Engineer for our Mobile Team. This team owns Snowflake's most visible AI products — Snowflake CoWork, our agentic AI workspace for enterprise knowledge workers, and Snowflake CoCo (Cortex Code), our AI coding agent. In this role, you will build the mobile experiences that bring agentic AI to users wherever they work, spanning the full product lifecycle from conception through deployment. AS AN ENGINEER AT SNOWFLAKE, YOU WILL: Build and ship polished, production-quality mobile features for Snowflake's agentic AI products, taking ideas from design concepts through App Store / Play Store releases. Write clean, performant, and maintainable TypeScript and React Native code while adhering to engineering best practices. Actively participate in mobile and frontend architecture discussions, design reviews, and peer code reviews to ensure code quality and system scalability. Collaborate closely with product managers and UX/UI designers to convert user requirements into detailed technical tasks and robust mobile UI components. Partner with backend and cross-functional teams to integrate APIs and support backend services that power AI inference and data retrieval. Contribute to the web frontend where needed — this team works across mobile, web, and the broader a

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 Senior/Staff ESSD Validation Engineer at Micron Technology, Inc., you will be responsible for validating Micron NAND-based SSD systems and solutions by developing test strategies, test plans, test cases, and automation frameworks that ensure industry-leading product quality and reliability. You will work closely with firmware, hardware, systems, product engineering, and customer teams to verify SSD functionality, performance, interoperability, and customer qualification requirements. The ideal candidate will possess strong knowledge of SSD architecture, NVMe/PCIe technologies, storage systems, and validation methodologies, along with a passion for automation and AI-enabled engineering practices. You will play a critical role in accelerating validation efficiency, improving product quality, and supporting customer success through innovative test solutions and data-driven decision-making. Key Responsibilities Define and execute validation test plans, test cases, and automation content for SSD firmware validation. Develop and maintain automated test scripts covering functional, system-level, performance, reliability, and customer qualification requirements. Validate SSD firmware against NVMe, PCIe, OCP Cloud SSD, and customer-specific specifications. Work closely with firmware, hardware, and system engineering teams to identify, debug, and resolve product issues. Analyze test results, identify product quality risks, and provide recommendations to st