Azure Senior Data Cloud Architect Jobs

Description: The key objectives of the TPRM Program are to: Assess the risk of third-party relationships which drive the rigor of risk management activities both during the third-party onboarding and ongoing monitoring lifecycle phases using the TPRM Program’s formula-based risk methodology Act as a liaison across key internal stakeholder teams (Procurement, Legal, Enterprise Security and the Business) to ensure clear and accurate communication of third-party risks aligned to risk management activities in order to complete risk assessments in a timely manner Identify TPRM program enhancements aimed at the effective and efficient management of third-party risk in order to support Business strategic initiatives Reporting to the TPRM Manager, the TPRM Risk Analyst will be expected to have strong experience operating in a risk-based, data-driven model that will accommodate the business’s need to onboard vendors in a shortened timeframe, all while managing expectations and heightened scrutiny of both internal and external stakeholders including our customers. The TPRM Risk Analyst will understand and clearly communicate not only the “What” but also the “Why” in terms of third-party risk management activities in order to support efficient and effective third-party risk management as MongoDB continues to grow. This role requires substantial ability to interpret data and apply risk knowledge and judgment as the TPRM Risk Analyst manages a complex ecosystem of data, regulations, and stakeholder relationships while continuously identifying areas of enhancement to support effective third-party risk management. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Responsibilities: Risk Assessment Validation & Remediation Strong experience in managing the full lifecycle of a Third Party from Sourcing to Payment Independently validate inherent risk rating and Criticality designation for all third-party relationships with minimal in

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale is seeking a Staff Software Engineer to lead the technical vision for our Infrastructure team. As a Staff Engineer, you will be responsible for the architectural evolution of our control plane and data plane, ensuring that our "infinite laptop" vision scales to meet the most demanding distributed AI workloads in the world. You will act as a force multiplier, setting the standards for Kubernetes-based cloud-native infrastructure while mentoring engineers and driving cross-functional alignment across the Ray open-source community and our proprietary product teams. Key Responsibilities Architectural Leadership: Define and drive the multi-year technical roadmap for services that orchestrate Ray clusters across diverse cloud and on-premises environments. Systemic Optimization: Lead the design and optimization of high-performance control plane components specifically tailored for large-scale, heterogeneous AI/ML workloads. Platform Reliability: Establish the organization-wide standards for the reliability, scalability, and observability of Anyscale-managed infrastructure. Strategic Integration: Direct the long-term strategy for accelerator integration (GPUs, TPUs) and container management to ens

We are looking for a Partner Development Lead based in India to join our AWS Partner team and help our business grow with AWS. We are looking for a creative business development professional with extraordinary energy, passion to learn, and initiative to drive new business for the fastest-growing database in the world, MongoDB. The Partner Programs Lead role will own multiple GTM workstreams with one of MongoDB's strategic partners i.e. AWS, for the entire region. This individual will be accountable for developing a strategy to drive incremental pipeline, increase sales productivity, improve co-sell execution, and launch & drive new sales plays with AWS. We are looking to speak to candidates who are based in Gurugram, India for our hybrid working model. Responsibilities Execute GTM (co-sell, co-marketing, product alignment) plays with AWS Cloud to drive incremental Atlas pipeline and revenue. Own partner-sourced and partner-influenced pipeline creation and revenue attainment for Atlas deals with AWS Cloud sales teams. Drive enablement and field alignment activities to convert co-sell plays into closed-won revenue with AWS Cloud. Execute AI-focused sales plays with AWS, driving pipeline and revenue from AI-related Atlas opportunities. Coordinate with internal teams (Product Management, Legal, Revenue, Finance) to keep plays running smoothly and remove execution blockers. Collaborate with the extended Partner team (Cloud/Hybrid Specialists, Partner Marketing, Partner Architects) to execute plays in the field. Requirements Working knowledge of the AI/ML ecosystem; generative AI, LLMs, RAG architectures, vector search/embeddings, and AI agents and familiarity with hyperscaler AI stacks and how partners package and co-sell AI solutions. Able to speak credibly with AWS AI/ML specialist and partner teams about where MongoDB Atlas fits in an AI application stack. Proven track record of carrying and exceeding a pipeline or revenue quota, ideally through a partner/channel

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 Lead Software Engineer 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 We are seeking an experienced Lead Software Engineer that possesses strong experience with Golang with strong communication skills to work within the Next Edge program. The Next Edge program is developing Mastercard’s next generation edge platform with programmatic interfaces for data transport (transactions, messages, events, APIs, files, etc.) that give our customers a single point of entry to Mastercard network via private customer on-prem connectivity as well as from public clouds. Role • Lead the design, development, and evolution of Mastercard's next-generation edge platform an

Principal Security Engineer Location: London (Hybrid) | Practice Area : Technology & Engineering | Type: Permanent Lead advanced security engineering initiatives that safeguard the future of digital finance The Role As a Principal Security Engineer at Capco, you’ll lead the design and implementation of secure systems and processes across cloud and on-premise platforms. You’ll collaborate closely with engineering and client teams to embed security-by-design principles throughout the SDLC, integrate automated security tooling, and ensure resilience against evolving cyber threats. You’ll also use approved AI tools and AI-enabled workflows where appropriate to improve the speed, quality and effectiveness of security engineering, while maintaining human judgement, responsible AI guardrails and appropriate review and escalation. What You’ll Do Design and implement enterprise-wide security controls and frameworks, using approved AI and automation where appropriate to improve security outcomes Embed security controls into CI/CD pipelines (SAST, SCA, DAST, container scanning) and enable secure SDLC practices Collaborate across teams to champion secure development practices and responsible use of AI-enabled security workflows Lead vulnerability assessments, code reviews and security audits across infrastructure and applications, maintaining appropriate human review, audit trails and escalation pathways Develop and evolve security standards, engineering patterns and data protection strategies What We’re Looking For Strong hands-on experience with Palo Alto, Microsoft or similar security ecosystems Deep understanding of cloud security for AWS, Azure or GCP platforms Proven expertise in secure coding, endpoint protection, SIEM and IAM Familiarity with frameworks and standards such as ISO 27001, NIST and OWASP, alongside an understanding of responsible AI, security guardrails and human-in-the-loop controls Proficiency in Python, Bash, PowerShell or Go for security automation

Job Title: Java Microservices Developer - Bangalore About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Location - Bangalore Experience - 7+yrs Skills and Qualifications : 7+ years of experience in backend development with a strong focus on Java, Microservices and Kafka Java Microservices Back end Developer Java Sprint boot Microservices with expected knowledge of Kafka, Basic knowledge of Database. Experience with TDD and BDD. Must have experience with one of cloud (GCP, AWS or Azure). Also experience with Kubernetes and containers Hands-on experience on Spring boot, Webservices, Microservices, SOAP and REST Drive analysis of business requirements, functional requirements, and technical specification documents to design&n

Job Title: Java Microservices Developer - Bangalore About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Location - Bangalore Experience - 7+yrs Skills and Qualifications : 7+ years of experience in backend development with a strong focus on Java, Microservices and Kafka Java Microservices Back end Developer Java Sprint boot Microservices with expected knowledge of Kafka, Basic knowledge of Database. Experience with TDD and BDD. Must have experience with one of cloud (GCP, AWS or Azure). Also experience with Kubernetes and containers Hands-on experience on Spring boot, Webservices, Microservices, SOAP and REST Drive analysis of business requirements, functional requirements, and technical specification documents to design&n

Generative AI Architect Location: Orlando, FL | Practice Area: Technology & Engineering | Type: Permanent Shape the architecture of enterprise-scale generative AI solutions at the forefront of innovation The Role As part of Capco’s Technology Delivery Team, you will apply deep expertise in architecture, AI, and modern engineering practices to design and deliver next-generation solutions. As a Generative AI Architect, you will lead the definition and implementation of scalable, secure, and enterprise-grade AI systems, guiding projects from concept through to production while aligning technology with strategic business goals. What You’ll Do Define and deliver enterprise-wide architecture for generative AI and agentic systems aligned to business objectives Design scalable, modular solution patterns and integrate foundation models into enterprise environments Architect and implement agentic AI systems, including workflows, orchestration, and system integrations Establish robust cloud-native infrastructure and MLOps pipelines for deployment, monitoring, and lifecycle management Collaborate across teams, mentor colleagues, and contribute to innovation and thought leadership in AI What We’re Looking For Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field 10+ years of experience in software architecture, including hands-on work with AI/ML systems Strong expertise in generative AI, foundation models, and agentic AI frameworks Proficiency in Python and experience with leading AI/ML frameworks and cloud platforms (AWS, Azure, or GCP) Proven ability to communicate complex technical concepts and influence technical decision-making WIllingness to work in our office 3 days/week Bonus Points For Experience with prompt engineering and advanced RAG-based architectures Familiarity with vector databases and unstructured data processing techniques Experience implementing MLOps frameworks and production-grade AI systems Exposure to containerized and di

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with

MongoDB Pre-Sales Solution Architects partner with the rest of the go to market team to help our customers craft and build solutions to address their business needs. Our team is made up of top-tier software architects, entrepreneurs, and developers who take direct responsibility for customer success. As an integral component of the sales team, they help shoulder the responsibility of generating revenue, by strategically interfacing with the customer and becoming the trusted advisor. As a leader in Pre-Sales Solutions Architecture, you will cultivate a stellar team. You will partner closely with our sales counterparts to define, improve and execute our sales initiatives in the enterprise market. You will be integral to driving the business forward, by developing both our pre-sales and sales practices and by bringing the voice of experience. We are looking to speak to candidates who are based in Singapore for our hybrid working model. Candidate Profile 4+ years of pre-sales experience, with strong commercial skills 3+ years Management experience, ideally in pre-sales, distributed team management preferred Results oriented, with a track record of overachievement (Circle of Excellence, Leader of the Year, etc.) Driven – you possess a strong desire to be successful Focused – you are skilled in managing time and resources and have a sound approach to technically qualifying opportunities Intelligent – you possess an aptitude to learn quickly and establish credibility Excellent presentation and interpersonal skills Database industry background a plus Software development background a plus The ability to travel up to 30% A Bachelor’s degree or equivalent work experience Position Expectations Recruit, retain, and develop top pre-sales talent across multiple countries Partner with our sales teams to help ensure success in accounts ranging from mid-to-large enterprises Work closely with the Professional Services team to achieve customer happiness and wit

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL (Instawork Robotics Labs) Researchers at UC Berkeley have identified a “100,000-year data gap”—the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments—kitchens, warehouses, hotel floors, and homes—to capture the high-fidelity task data that the world’s leading robotics labs use to train their foundation models. About the Role Instawork Robotics creates the highest-quality, highest-diversity datasets for robotics and physical AI. We work with leading robotics builders and research labs to solve one of the most important challenges in robotics: closing the data gap. As a Platform Engineer, you will build the products, services, tools, and infrastructure that power IRL’s data collection, processing, and quality workflows. This is a hybrid product and infrastructure role: you will design platform capabilities for application engineers while also owning the reliability, scalability, cost efficiency, and operation of the systems behind them. You will collaborate across Engineering, Operations, and Business teams to translate customer requirements into clear, scalable technical solutions, leveraging AI methodologies to deliver high-quality products and efficient software workflows. You’ll work across distributed systems, Kubernetes, cloud infrastructure, observability

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects. Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks . As part of a team, you will implement world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks. As a hands-on technologist with an extensive data engineering background using Databricks , you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration. What you'll be doing: Design, build, test and maintain data pipelines (ELT), according to business and technical requirements. Implement secure platforms

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role Okta is the identity standard. The Okta Identity Cloud is an independent and neutral platform that securely connects the right people to the right technologies at the right time. We help organizations secure and manage their extended enterprise while transforming their customers’ experiences. With thousands of global customers, 7,000+ app integrations, and over 200 million registered users, we are only getting started. As a member of the Developer Productivity Engineering team, you will tackle high-impact challenges across development environments, AI enablement for engineering, scalability, and stability. Grounded in Okta’s core value— Always Secure. Always On. —your work directly powers developer velocity, system reliability, and software quality at scale. You will act as a force multiplier for our engineering teams by identifying workflow bottlenecks, pioneering AI integrations, establishing best practices for code organization, and maintaining performant development environments. What You’ll Do Design & Automation: Build and ship automated solutions that allow developers to deliver features rapidly without compromising quality, stability, or security standards. Environment Performance & Tuning: Analyze local development workflows, build tools to track operational metrics, and profile/tune development environments (including codebase modifications). AI & Tooling Enablement: Leverage AI technologies across the development stack

About the Team OpenAI’s Infrastructure Operations team is responsible for the availability, reliability, and operational excellence of one of the world’s largest AI infrastructure networks. The team owns day-to-day operations of production AI networks across Industrial Compute's data centers, working with colocation providers, deployment teams, and hardware vendors to deliver highly available GPU infrastructure for AI training and inference workloads. About the Role We are seeking an Infrastructure Operations Engineer to operate and improve the large-scale Ethernet fabrics that support GPU clusters, storage systems, and management infrastructure. This role combines hands-on production operations with automation, observability, and incident response across a global AI network. The ideal candidate has experience operating high-availability data center, cloud, AI, or HPC networks and can move comfortably from physical-layer troubleshooting to routing and fabric behavior, change execution, and root-cause analysis. You will partner closely with network architecture, systems engineering, GPU engineering, storage engineering, security, deployment, site operations, service providers, colocation partners, and hardware vendors to raise reliability and reduce operational toil. Key Responsibilities Own the operational health, availability, and reliability of production AI network infrastructure across Industrial Compute's data centers. Monitor, troubleshoot, and resolve network incidents while meeting service-level objectives (SLOs), reducing Mean Time to Detect (MTTD), and minimizing Mean Time to Recovery (MTTR). Operate and maintain large-scale Ethernet fabrics supporting GPU compute, storage, and management networks. Execute production network changes, maintenance windows, and capacity expansions with minimal customer impact. Manage the hardware lifecycle, including switch and optics replacements, RMA coordination, software upgrades, and preventive maintenance. Support new A

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Lead AI Security Engineer (Agentic SOC) Location: McLean/Tysons, VA | On-site (5 days/week) ABOUT THE TEAM We are pioneering the next generation of cyber defense by building an Agentic Security Operations Center (SOC). Our mission is to move beyond reactive alerting by creating self-orchestrating, context-aware AI systems capable of autonomous triage, semantic correlation, and proactive threat mitigation. In this role, you will leverage emerging AI capabilities to reimagine how we defend our organization. THE OPPORTUNITY The AI SOC Engineering team is at the center of bringing our vision for AI-driven security to This is a squad of builders operating at the intersection of Generative AI, software engineering, and offensive/defensive security. We don't just write scripts; we architect the intelligent fabric of our defensive posture. We build and deploy production-grade, proprietary multi-agent systems that empower our human analysts to handle complex incident response with autonomous agents AI in responsible and scalable ways. WHAT YOU'LL DO Build & Deploy Agents: Design, test, and deploy autonomous and semi-autonomous AI agents that integrate natively with our enterprise security stack (SIEM, EDR, XDR, and Threat Intel feeds). Code the Playbooks: Translate traditional, human-centric SOC playbooks and analyst workflows into deterministic and heuristic agentic pipelines (using DAGs and multi-agent routing). Optimize RAG Pipelines: Design, optimize, and maintain production-grade Retrieval-Augmented Generation (RAG) workflows to inject real-time security