Senior Test Software Engineer

Cloudera brings "AI Anywhere" Innovation to Global AWS Summit series. Cloudera, Inc. Cloudera will showcase its hybrid data and AI capabilities across eight global summits, emphasizing how organizations can unlock the full value of enterprise data while maintaining sovereignty, governance, and control. SANTA CLARA, Calif., March 31, 2026 (GLOBE NEWSWIRE) - Cloudera, the only company bringing AI to data anywhere, today announced its participation as a sponsor across the 2026 Amazon Web Services (AWS) Summit series, including events in Paris, Sydney, Hamburg, Madrid, Washington, D.C., Jakarta, Zurich, and Tokyo. At each event, Cloudera will demonstrate how organizations can operationalize "AI Anywhere" by running AI workloads seamlessly across hybrid and multi-cloud environments without compromising governance, security, data portability, or sovereign cloud requirements, including residency, control, and compliance in specific countries or regions. Cloudera's presence at AWS Summits builds on its longstanding collaboration with AWS, helping enterprises modernize their data architectures and accelerate AI adoption in increasingly complex hybrid environments. As organizations continue to balance cloud innovation with existing on-premises investments, hybrid cloud strategies are becoming the norm, enabling greater agility, scalability, and cost efficiency. AWS is also a key member of Cloudera's growing AI ecosystem, supporting customers as they deploy scalable, open, and secure AI solutions across diverse environments. Engaging the Global Cloud Community Across AWS Summit events, Cloudera will host interactive booth experiences featuring live demonstrations, expert consultations, and giveaways, offering attendees hands-on insights into real-world AI and data use cases. Event Highlights Include: * Paris, April 1: Cloudera will be holding live demos at Booth P4. Additionally, as a platinum sponsor, Cloudera will be hosting the session Accelerating Life-Saving Aid with Private AI, sharing how Mercy Corps uses Cloudera AI powered by NVIDIA to equip humanitarian teams with secure, AI-driven tools that accelerate life-saving aid delivery. * Time: 11:15 a.m., Location: Salle Passy L1 * Sydney, May 13-14: As a gold sponsor, Cloudera is hosting the lightning talk Cloud Anywhere: Architectural Freedom for Unified Data and AI, exploring how organizations can avoid vendor lock-in and unify data and AI across AWS and on-prem environments. * There will also be a networking reception at the Cloudera booth on May 13, 5:15-6:00 p.m., featuring games and prize drawings. * Hamburg, May 20: As a platinum sponsor, Cloudera will be hosting a breakout session, as well as scheduled demos and giveaways at its booth. * Madrid, June 4: In its session Psychology for Robots: Cognitive Biases and Bacon in Your Ice Cream, Cloudera will do a deep dive into cognitive bias in AI systems and how Cloudera ensures production-ready AI anywhere. * Additional Event Presence at: * Washington, D.C., June 30 * Jakarta, August 6 * Zurich, September 2 * Tokyo, June 25 "Our collaboration with AWS is central to delivering on the promise of AI Anywhere," said Michelle Hoover, SVP of Global Alliances and Channels at Cloudera. "Customers shouldn't have to choose between innovation and control. By combining Cloudera's hybrid data platform with AWS's cloud capabilities, we're empowering organizations to run AI workloads wherever they need - while maintaining governance, security, and portability." About Cloudera Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world's largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. To learn more, visit Cloudera.com and follow Connectweb on LinkedIn and X. Cloudera and associated marks are trademarks or registered trademarks of Cloudera, Inc. All other company and product names may be trademarks of their respective owners.

Cloudera announces 2026 Global Partner Awards winners at IMPACT26. AWS, IBM, Dell, NVIDIA, and Protegrity Among Those Recognized for Driving Data and AI Innovation Worldwide SANTA CLARA, Calif., - March 25, 2026: Cloudera, the only company bringing AI to data anywhere, today announced the winners of its 2026 Global Partner Awards, presented during its annual partner kickoff event, IMPACT26. The awards recognize organizations that have demonstrated exceptional commitment to customer success, technical excellence, and innovation across Cloudera's ecosystem over the past year. The power of the Cloudera partner ecosystem. Cloudera partners play a critical role in extending the value of the Cloudera platform for organizations of all sizes. Through deep technical integrations, joint go-to-market initiatives, and global services expertise, partners help to ensure customers achieve maximum value through optimal performance and functionality of their Cloudera investment. Each partner is carefully vetted and empowered to uphold the highest standards of technical and business excellence. Together, Cloudera and its partners enable enterprises to build and run data and AI solutions anywhere - in clouds, data centers, the edge, and hybrid environments - accelerating innovation while maintaining governance and control. This year's Global Strategic Partners are: * Cloud Partner of the Year: Amazon Web Services (AWS) * OEM Partner of the Year: IBM * Technology Partner of the Year: AMD * AI Partner of the Year: NVIDIA * IMPACT Partner of the Year: Dell Technologies * ISV Partner of the Year: Protegrity The Regional Partners of the Year are: * AMER Partner of the Year: Compwire * APAC Partner of the Year: IBM Consulting * EMEA Partner of the Year: PUE Data * Public Sector Partner of the Year: ThunderCat Technology Cloudera's Emerging Partners of the Year are: * AMER: Codename37 * APAC: Novare Technologies * EMEA: Engineering Ingegneria Informatica S.p.A. Building the hybrid future of Data and AI anywhere - in their words. "Enterprise-grade AI demands a strong data foundation," said Travis Vigil, senior vice president, ISG Product Management, Dell Technologies. "Through our joint innovation with Cloudera, we're tightly integrating Dell's industry-leading storage with Cloudera's data platform to bring AI directly to where the data lives. Together, we're helping customers operationalize AI at scale with the security, performance, and confidence required for production environments." "Traditional security breaks down in AI environments where data is constantly moving and being reused," said Protegrity CTO, Sameer Tiwari." Protegrity takes a data-centric approach - protecting sensitive data itself so it can be safely used across analytics, machine learning, and generative AI. Our partnership with Cloudera brings this capability directly into modern data platforms at scale." "Receiving Cloudera's AMER Partner of the Year award is a great honor for Compwire and a reflection of the strong, trusted partnership we have built together," said Ricardo Vinicius de Godoi, Director of Business Solutions at Compwire. "Together, we are helping organizations accelerate their data and AI initiatives in Brazil, and we look forward to continuing to drive innovation, customer value, and growth with Cloudera." "We're proud to deepen our collaboration with Cloudera across APAC," said Rishi Aurora, Managing Partner, IBM Consulting India & South Asia. "This year, we worked closely with Cloudera on securing net new logos and the expansion of existing accounts. Together, we are delivering transformative data and AI solutions that create long-term value for our clients." "With over a decade of expertise in Cloudera solutions across EMEA, we are evolving together," said Lucia Ferrer, PUEDATA CRO & Co-Founder. "Our focus is now on democratizing data across the enterprise, leveraging Private AI to turn insights into organizational value." "At Cloudera, our partners are more than just collaborators; they are essential drivers of innovation, customer value, and global growth," said Michelle Hoover, SVP of Global Alliances & Channels at Cloudera. "The depth and diversity of our partner ecosystem helps to enable us to deliver unmatched hybrid and AI-powered data solutions at scale. Our 2026 Global Partner Award winners exemplify the deep technical excellence, shared vision, and relentless commitment to customer success that continues to accelerate Cloudera's momentum in the data and AI era. We are honored to celebrate their achievements and look forward to continuing to build transformative solutions together." About Cloudera Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world's largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and even save lives. To learn more, visit Cloudera.com and follow Cloudera Navigator on LinkedIn and X. Cloudera and associated marks are trademarks or registered trademarks of Cloudera, Inc. All other company and product names may be trademarks of their respective owners. Ready to Get Started?

Cloudera Agent Studio and NVIDIA bring next-gen agents to enterprise AI. Autonomous agents act toward complex goals without requiring human direction at each step. In enterprise environments, deploying these agents introduces a more exacting set of challenges: they must navigate heterogeneous data systems; satisfy compliance, audit, and data sovereignty mandates; and keep all data within the organization's operational boundary. Long-horizon agents represent a new class of autonomous AI, extending beyond single tasks to pursue objectives across dozens of sequential decisions, running workflows for hours or days while maintaining context throughout. At enterprise scale, every one of those challenges is amplified. An architecture built for enterprise AI agents. Cloudera designed Cloudera Agent Studio (part of Cloudera AI Studios) in collaboration with NVIDIA to address exactly these challenges. * NVIDIA Nemotron provides the model foundation: it's purpose-built for agentic AI and the high-throughput inference demands of long-horizon workflows. * Cloudera Agent Studio provides the orchestration layer that builds on that foundation through four architectural pillars: dynamic multi-step planning, transparent multi-agent collaboration, context engineering for accuracy, and sandboxed execution. Each pillar addresses a specific requirement that emerges when autonomous agents operate at enterprise scale. Figure 1: Cloudera Agent Studio orchestrates autonomous workflows through iterative multi-step planning, multi-agent collaboration with tools and skills, artifact-driven context engineering, and sandboxed execution - built on the foundation of model serving with Cloudera AI Inference, powered by NVIDIA NIM, and Nemotron models for agentic AI. The foundation: private model deployment with NVIDIA Nemotron. Enterprise AI starts with data governance. Prompts, proprietary data, and model outputs must stay within the organization's operational boundary, meeting compliance mandates without architectural compromise. This is the core requirement of Private AI: the full inference stack running inside the enterprise, not outside it. Cloudera AI Inference service, powered by NVIDIA NIM microservices, enables high-performance, scalable model serving directly within the enterprise environment, keeping prompts, data, and outputs inside the security perimeter. Accelerated by the NVIDIA AI stack, including Blackwell GPUs and Dynamo-Triton, the service supports a wide range of models, including NVIDIA's Nemotron model family for agentic AI with advanced reasoning, tool use, and long-horizon workflows. This foundation allows organizations to build and run enterprise AI agents directly on their data - securely and at scale. Four pillars of Cloudera Agent Studio. 1. Dynamic, iterative, multi-step planning. Enterprise data environments are not clean. Real deployments involve dozens of databases with inconsistent schemas, sparse documentation, and no deterministic path from a business question to the right data source. The agent must construct that path at runtime. Agent Studio's orchestrator treats exploration as part of execution. It decomposes complex requests into multi-step plans, executes them iteratively, and self-evaluates after each step before committing to a path. This self-correcting planning loop makes agents reliable in environments they have never encountered and sustains long-horizon workflows across many sequential steps. 2. Multi-Agent collaboration: reusability and transparency. Complex enterprise workflows span multiple domains, each requiring distinct reasoning strategies and specialized tools. A single agent attempting to cover all of them cannot be well-optimized for any, and the broader its scope, the harder it becomes to understand and govern agent behavior. Agent Studio is built around specialized agents, each scoped to a specific domain and equipped with the appropriate tools, coordinated by an orchestrator that understands how to delegate. What makes this collaboration transparent and reusable is how agents communicate: each agent writes structured outputs to shared project context, and subsequent agents consume those outputs as explicit, inspectable inputs. The full chain of reasoning is traceable at every step, providing the auditability enterprises require and the reusability to build on prior work across runs. 3. Context engineering: accuracy, speed, and cost. At enterprise data scales, passing raw data directly to the model does not work. Context windows are finite, and as unstructured context grows, accuracy degrades well before the window limit is reached. Agent Studio treats the context window as a precision instrument: at each step, only the information relevant to that agent's specific task reaches the model. This artifact-driven design reduces token consumption, cutting inference cost and latency while improving accuracy. That combination is what makes long-horizon workflows tractable at enterprise scale. 4. Sandboxed execution. What makes autonomous agents genuinely powerful is their ability to dynamically generate tools, skills, and executable code as workflows demand them, capabilities that Agent Studio supports natively. But without isolation, agent-generated code and tools executing directly against enterprise systems present unacceptable risk. Cloudera Navigator architected Agent Studio's execution layer around isolation by default. All agent-generated code and tool execution runs in a sandboxed runtime with no access to systems outside their defined scope. Agents begin with zero permissions, and every action is policy-enforced at the infrastructure layer, not inside the agent process itself. This gives regulated industries the auditability they require, without restricting what agents can do. Customer story: agentic AI transforming petabyte-scale data analytics. Cloudera manages over 30 exabytes of structured data across its customer base, making structured data analytics where this architecture delivers immediate impact. A major media and entertainment company deployed it to give business users and analysts a natural language interface to their operational data. Their data estate spanned petabytes across dozens of databases, often with conflicting metadata and sparse documentation. Cloudera Agent Studio orchestrated specialized agents backed by NVIDIA Nemotron running inside the customer's private network. A business user's analytical question triggered an iterative planning loop: the orchestrator explored the data estate, navigated schema ambiguity, and identified the right data sources autonomously. When the analysis required statistical computation beyond what SQL could express, the orchestrator delegated to the appropriate code execution agent. Intermediate outputs were written as artifacts and passed forward through the long-horizon workflow. All generated code executed in a sandboxed environment, maintaining a complete audit trail throughout. Workflows that once required a data engineer, developer, and an analyst working in sequence became accessible to any business user. The agents' outputs, including SQL commands, generated code, and visualizations, were written to shared project context throughout, each inspectable and auditable. Those artifacts were also exportable as production pipelines. Because the code that agents generate is deterministic even when the underlying models are not, those pipelines are reliable and reproducible without additional engineering. Architecture as competitive advantage. Every pillar in this architecture builds on the one before it. A private inference layer provides the foundation, supporting the call volumes and reliability that long-horizon workflows require. Iterative planning enables agents to navigate environments they have never seen. Multi-agent collaboration brings domain precision to multi-step reasoning. Artifact-based context management improves accuracy while reducing inference cost and latency. Sandboxed execution ensures agents operate safely within defined boundaries, with every action governed and auditable. Cloudera and NVIDIA bring this architecture to life through Cloudera Agent Studio, Cloudera AI Inference powered by NVIDIA NIM, and the NVIDIA Nemotron family of models. Together, they deliver the foundation of building orchestration and agentic reasoning needed to run enterprise AI agents directly on enterprise data - securely, privately, and at scale. Charu anchlia. Principal Engineer II - ML Suryakant bhardwaj. Senior Software Engineer Pamela pan. Senior Product Marketing Specialist Ready to Get Started?