Cloudera Inc.

Design and build scalable AI and MLOps platform services with cross-functional collaboration and technical leadership. | 8+ years backend microservices experience with Python, Kubernetes, cloud platforms, and advanced AI/ML frameworks. | Business Area: Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. Our Data Services Pillar is the heart of data innovation. We don’t just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI. Join Cloudera’s Machine Learning Platform team as a Staff Software Engineer. You will be a core technical leader responsible for designing, building, and delivering our next-generation AI and MLOps platform. You will design, build, and deliver an enterprise-grade platform enabling enterprises to create, deploy, and orchestrate agentic applications and multi-agent platforms using foundation models with enterprise data at scale in a hybrid cloud environment. As a Staff-level engineer, you will drive technical architecture, advocate for engineering best practices, and collaborate closely with cross-functional teams (Product, Design, Frontend, and Field Engineering) to enhance developer velocity and platform agility. Our Core Tech Stack: Backend: Python, gRPC, SQL Infrastructure: Kubernetes, Knative, Keda, Docker, Hybrid Cloud (AWS, GCP, Azure, OpenShift) GenAI & ML: LangChain, CrewAI, LlamaIndex, Closed and open source LLMs Data & Vector DBs: Quadrant, Pinecone or Milvus, Redis, Postgres In this role you will.. Architect and Build: Design, code, and implement elegant, scalable, enterprise-quality platform and application services / SDKs that support autonomous agents, multi-agent collaboration, and advanced tool-use capabilities. Implement Agentic Evaluation & Observability: Build automated evaluation pipelines and trajectory tracking to continuously bench, audit, and evaluate agent reasoning loops, tool-calling accuracy, and guardrail compliance. Architect Memory Management Systems: Develop and optimize robust stateful memory architectures for enterprise agents, handling short-term context window strategies, long-term semantic/episodic memory persistence, and secure cross-session state management. Enable RAG use cases: Implement AI application services powered by machine learning models, enabling scalable Retrieval-Augmented Generation (RAG) and semantic search. Lead by Example: Advocate for and establish engineering best practices, coding standards, and rigorous system design methodologies. Enhance Platform Velocity: Work to enhance developer velocity, framework abstraction, and team agility across the AI platform ecosystem. Collaborate Cross-Functionally: Build strong relationships and collaborate with platform and UI engineers, data scientists, quality engineers, UX designers, Product Management, Field Engineering, and external enterprise partners. Cross-Functional Collaboration: Build strong technical relationships with platform engineers, UI developers, UX designers, and Product Management to deliver cohesive user experiences. Mentorship: Act as a senior technical leader on the team, mentoring junior engineers and actively contributing to a culture of engineering excellence and craftsmanship. What You Bring (Required Experience): Experience: 8+ years of software engineering experience building scalable backend microservices and distributed systems. Core Languages: Deep expertise in Python Go, Java, or C#/C++, along with gRPC and SQL. Cloud & Containerization: Extensive hands-on experience designing and developing microservices on Kubernetes, plus expertise in at least one major cloud platform (AWS, GCP, or Microsoft Azure). Agentic Frameworks & Evaluation: Proven experience with open-source agentic frameworks((e.g., LangGraph, AutoGen, CrewAI) and evaluation tooling (LangSmith/Langfuse or Phoenix). Agentic & Generative AI Mastery: Proven experience building applications utilizing advanced LLM orchestration paradigms (e.g., ReAct loops, planning/reflection frameworks, multi-agent systems) alongside standard foundational models, prompt engineering, and RAG architectures using vector databases (e.g., Pinecone, Milvus). Memory & State Infrastructure: Deep understanding of caching layers, relational databases, and vector databases optimized for agentic state persistence and memory retrieval. System Design: Demonstrated ability to go deep into complex distributed systems, crafting both high-level architecture and low-level technical designs. Education: BS/MS in Computer Science, Software Engineering, or a related field (or equivalent professional experience). Soft Skills: Self-driven with a strong sense of ownership, paired with excellent written and verbal communication skills. Bonus Points (Preferred Experience) AI/ML Orchestration: Experience with ML orchestration and serving software ( KServe, Knative). Big Data: Familiarity with distributed data technologies like Apache Spark, Hive, etc. Full-Stack Exposure: Experience with React, HTML, and CSS to better collaborate with UI teams. Data Science Ecosystem: Experience building applications alongside data scientists using tools like Python, TensorFlow, PyTorch, MLflow, or R. Agile Environments: A proven track record of collaborating with agile teams across geographically dispersed and remote locations. This role is not eligible for immigration sponsorship or relocation What you can expect from us: Generous PTO Policy Support work life balance with Unplugged Days Flexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages Paid Volunteer Time Employee Resource Groups EEO/VEVRAA #LI-BV1 #LI-REMOTE It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments. Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal https://www.cloudera.com/careers.html Email communications from Cloudera will come from an email address ending in @cloudera.com. If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams. For information on Cloudera's Candidate Privacy Notice, click here. If you have any questions about our privacy practices, please contact us at privacy@cloudera.com. EEO/VEVRAA If you need assistance with applying for a position, please email our office at talentacquisition@cloudera.com.

Design, build, and maintain backend services and infrastructure tooling using Go and C#, collaborating across teams. | 6+ years backend development experience, proficiency in Go or similar languages, familiarity with Kubernetes and CI/CD pipelines, and good collaboration skills. | Business Area: Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. As a Staff Software Engineer at Cloudera Taikun, you will design, build, and maintain infrastructure tooling that extends Taikun’s capabilities into the broader cloud-native ecosystem. You’ll contribute to projects like our Terraform provider, Crossplane provider, Kubernetes autoscaler, CLI tools, and Tekton pipelines. Most of your work will be in Go, with some automation tasks in Ansible. As a Staff Software Engineer you will… Contribute to the development and maintenance of the Taikun Terraform provider and Crossplane provider. Work on Taikun’s Kubernetes autoscaler and CLI tools. Develop and maintain Taikun’s backend services in C# and Go. Design and enhance APIs for internal and external consumption. Develop Go-based microservices to support infrastructure tooling. Collaborate with other teams to ensure smooth integration with Taikun’s backend and platform. Participate in code reviews, technical design discussions, and testing. We are excited if you have… Proficiency in Go or other low level compiled languages. 6+ years experience building backend services or CLI tools. Familiarity with Kubernetes concepts and APIs. Understanding of CI/CD practices and pipeline automation (Tekton or similar). Willingness to work on and learn technologies like Terraform (OpenTofu) and Crossplane. Good collaboration and communication skills. Bsc/MSc in related field or equivalent experience You may also have… Experience with Ansible. Knowledge of cloud platforms (AWS, Azure, GCP, OpenStack). Exposure to Infrastructure-as-Code tools. Contributions to open-source projects. What you can expect from us: Generous PTO Policy Support work life balance with Unplugged Days Flexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages Paid Volunteer Time Employee Resource Groups EEO/VEVRAA #LI-EO1 #LI-HYBRID It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments. Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal https://www.cloudera.com/careers.html Email communications from Cloudera will come from an email address ending in @cloudera.com. If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams. For information on Cloudera's Candidate Privacy Notice, click here. If you have any questions about our privacy practices, please contact us at privacy@cloudera.com. EEO/VEVRAA If you need assistance with applying for a position, please email our office at talentacquisition@cloudera.com.

Design, build, and execute test automation for validating complex data pipelines on Kubernetes platforms. | 8+ years software engineering experience with test automation or backend focus, expertise in data engines like Spark and Kafka, Kubernetes knowledge, and Python scripting. | Business Area: Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. Senior Software Engineer in Test - Anywhere Cloud Team Overview The Anywhere Cloud (AWC) team is building Cloudera’s next-generation unified control plane. We are moving beyond traditional UI-driven workflows to an "AI-First" architecture. AWC enables the deployment of Data Services (like Spark, Trino, and Cloudera AI) across hybrid and multi-cloud environments. Our platform orchestrates complex Kubernetes infrastructures, foundational services (Service Mesh, Auth, Logging), and data engines. This role is not eligible for immigration sponsorship. The Role As a Sr. Data Engineer you will not just write tests; you will write automation and tools to validate Cloudera certified data pipelines. You will own the test strategy for designing, building, and executing custom data pipelines also known as Blue Prints You will leverage your deep domain expertise in data ecosystem engines like Spark, Kafka, Apache Polaris, Trino, Airflow and Lakehouse architectures to validate end to end use cases via custom blueprint. Your work will directly guarantee the functioning of the data pipeline for relevant use cases. Key Responsibilities End-to-End Data Pipeline Validation: Design and execute test plans validating the end-to-end cluster creation flow on a kubernetes platform. Data Modeling & Proactive Data Quality: Managing complex data modeling and schema drift, as well as embedding automated data quality checks and statistical anomaly detection directly into pipelines to shift away from reactive, manual quality processes. Unified Data Governance Integration: Working with governance layers to ensure policies like tag-driven Attribute-Based Access Control (ABAC), column-level masking, row-level filters, and zero-code lineage ingestion (e.g., Octopai) are accurately enforced at the data layer. Requirements AI First Mindset : Ability to learn and develop AI enabled test automation frameworks. Engine SME Expertise : Hands-on understanding of modern compute and streaming engine internals like Spark, Kafka, Trino, Airflow Kubernetes Expertise: Understanding of Kubernetes internals (CRDs, Controllers, Operators, Namespaces). You must understand how to debug and test complex Helm chart deployments and dependencies. Language Proficiency: Expert-level proficiency in Python/Shell for scripting and automation. Education: Bachelor’s or Master’s degree in Computer Science or equivalent experience. Experience: 8+ years of software engineering experience with a focus on test automation, infrastructure, or backend development What You Can Expect AI enabled work environment with access to latest AI tools Freedom to Act: You will work without appreciable direction, setting your own priorities based on long-term technical goals. Impact: Your decisions will affect the strategic direction of the AWC quality stack and the reliability of our platform setup. Complexity: You will solve unusually complex problems, such as verifying cross-cluster service discovery and ensuring zero-downtime upgrades for stateful data engines. What you can expect from us: Generous PTO Policy Support work life balance with Unplugged Days Flexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages Paid Volunteer Time Employee Resource Groups EEO/VEVRAA #LI-HYBRID #LI-CP1 It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments. Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal https://www.cloudera.com/careers.html Email communications from Cloudera will come from an email address ending in @cloudera.com. If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams. For information on Cloudera's Candidate Privacy Notice, click here. If you have any questions about our privacy practices, please contact us at privacy@cloudera.com. EEO/VEVRAA If you need assistance with applying for a position, please email our office at talentacquisition@cloudera.com.