Cloudera

Executive Assistant

• Support 2 C-level executives
• Heavy calendar management
• Perform administrative duties and functions requiring confidentiality, initiative and sound decision-making
• Manage travel- arrange air/lodging/transportation, craft and maintain itineraries for designated executives, process expense reports
• Coordination and planning for meetings, conference calls and special events, including arrangement of logistics, meeting space, communications, and catering managing within a budget
• Collaborate with other administrative staff
• Support of other executives as needed
• Additional duties and projects, as assigned

Backend Engineer

• Manage and lead a team of talented engineers and senior individual contributors based in North America
• Develop and execute on a technical roadmap and strategy for your team, aligning with the department's vision and the company's business goals
• Lead and mentor a team of software engineers, including senior and principal-level contributors, fostering a culture of technical excellence and innovation
• Partner with Engineering leaders, product managers, and partner teams to understand requirements, develop solid designs and implementations, and facilitate integration and adoption
• Drive and enforce best practices for the software development lifecycle, including coding standards, testing, deployment, system scalability, reliability, and security, tracking key performance indicators for engineering quality and efficiency
• Communicate team progress, successes, challenges, and strategic plans clearly and transparently to engineering leadership and other business stakeholders
• Oversee team resources, staffing, mentoring, and enhancing a best-of-class engineering team
• Work closely with customers in various geographies and partner teams (like PS and support) to ensure successful adoption of Ozone and provide technical guidance for enterprise customers running 100s of petabytes-scale big data analytics and ML/AI pipelines
• Guide the team in contributing to the Apache open-source community

Senior Engineering Manager – Storage Engineering

• Design and build Go microservices that power the AWC console and platform layer.
• Build operators, controllers, and jobs that run on Kubernetes.
• Integrate with internal platform components and external cloud provider APIs.
• Design schemas and write migrations, ensuring data consistency for services.
• Write unit and integration tests and contribute to system-level test infrastructure.

Senior Backend Engineer

Technical Program Manager

• Lead execution of large-scale, cross-functional platform initiatives spanning infrastructure, developer tooling, and release systems
• Partner directly with engineering leadership to translate platform strategy into actionable plans, roadmaps, and measurable outcomes
• Drive clarity across complex, overlapping efforts by defining scope, sequencing, and dependencies
• Go deep on technical trade-offs when needed to unblock teams and accelerate decision-making
• Establish and scale execution frameworks that improve velocity, predictability, and quality across platform teams
• Identify gaps in systems, processes, or resourcing, and build the case for investment and prioritization
• Provide clear, concise updates to leadership, including progress, risks, and critical path dependencies

Staff Technical Program Manager – Platform

Recruitment

• Meticulously review and compare candidate documents, including cross-checking resumes against formal applications and verifying employment dates for accuracy and compliance.
• Schedule and manage interviews across various formats (remote/offsite, and onsite) and global time zones.
• Act as the main liaison between candidates, recruiters, and interviewers.
• Maintain accurate, compliant candidate records in Workday, Rooster and other systems.
• Utilize AI tools to streamline document review, communication, and administrative tasks.
• Process candidate travel expenses, upload NDAs to Workday, and issue contingent worker contracts and background checks via DocuSign.
• Maintain strict confidentiality with all sensitive candidate and company information.
• Contribute to data and operational support, helping to streamline TA documentation and Standard Operating Procedures (SOPs).
• Effectively manage relationships and communicate with diverse stakeholders across the global business.

Talent Acquisition Operations Specialist

• Manage remote and onsite interviews across multiple global time zones • Act as the primary point of contact for candidates and internal teams • Maintain accurate, compliant candidate records in Workday, Rooster and other systems • Process candidate travel expenses, upload NDAs, and issue contingent worker contracts and background checks via DocuSign • Help streamline our TA documentation and Standard Operating Procedures (SOPs) • Initiate and monitor background checks and onboarding process for new hires • Maintain strict confidentiality and manage ad-hoc projects as needed

Talent Acquisition Coordinator

Full-stack Engineer

• Drive the future of data architecture by becoming a core contributor to Apache Iceberg, the open-source project defining modern data lakes.
• Bring performance improvements to all of the engines in the Cloudera stack, by implementing new features in Iceberg and working with other teams to leverage them during queries.
• Work with Product Managers and Customers to determine ways Iceberg can be improved for Modern Data Lakes.
• Develop new features in Java on a modern platforms
• Gain a solid understanding and deep technical knowledge of components across the Cloudera stack, but focusing on Iceberg, which you can utilize in your daily tasks.
• Get to work on massive-scale distributed systems, spanning from 100s to 1000s of nodes in production clusters, leveraging Iceberg's capabilities for handling PB-scale data architectures.
• Debug system level deployment issues, root cause analysis, perform system test analysis and resolve failures.
• Collaborate with other team members and stakeholders.

Staff Software Engineer – Apache Iceberg

Account Executive

• Align with the company's strategic objectives, handle and grow revenue and market share at designated Enterprise accounts to improve customer success at all levels in the customer organization.
• Develop and deliver business plans to address customer and prospect priorities and critical needs.
• Convey public and acquired intelligence about customer technology footprints, strategic growth plans, technology strategies and competitive landscape and trends
• Introduce domain product and service experts/specialists while maintaining account oversight.
• Own account relationships and drive overall customer success for these assigned accounts.
• Build consensus and develop relationships at multiple levels – executive sponsors, influencers and decision makers.
• Lead large scale transactions to close large scale deals.
• Build pipeline, forecast business, lead the internal team, communicate key updates and competitive intelligence.
• Exceed quarterly and annual new and expansion software subscription, renewals, professional service and training business goals.

Strategic Account Executive

• Drive the multi-year technical roadmap and architectural vision for enterprise-grade Apache Airflow within Cloudera Data Engineering
• Design and optimize highly available, secure, and multi-tenant Airflow environments capable of managing complex dependencies and scheduling workflows across thousands of distributed cluster nodes
• Gain and apply deep technical knowledge across the CDE stack, with a primary focus on extending Airflow, integrating it with Spark and Iceberg, and contributing back to the open-source community where applicable
• Foster a culture of technical excellence through hands-on technical mentorship, rigorous design reviews, and robust architectural guidance for distributed workflow execution
• Collaborate closely with product management, engineering leaders, and cross-functional partners to deliver critical features that make workflow automation seamless and intuitive for CDE customers

Staff Software Engineer – Data Services

Engineering Manager

• Lead, grow, and mentor a team of platform and software engineers responsible for CCF's foundation services.
• Own delivery and execution end-to-end for CCF.
• Partner with architects to translate architecture into well-scoped engineering work.
• Drive multi-tenant, multi-cloud design and execution, ensuring CCF behaves consistently across substrates.
• Partner with peer engineering teams across Cloudera.

Engineering Manager – Cloudera Cloud Foundation

Account Manager

• Align with company’s strategic objectives, handle and grow revenue and market share at designated Enterprise accounts to improve customer success at all levels in the customer organization
• Develop and deliver business plans to address customer and prospect priorities and critical needs
• Convey public and acquired intelligence about customer technology footprints, strategic growth plans, technology strategies and competitive landscape and trends
• Introduce domain product and service experts/specialists while maintaining account oversight
• Own account relationships and drive overall customer success for these assigned accounts
• Build consensus and develop relationships at multiple levels – executive sponsors, influencers and decision makers
• Lead large scale transactions to close large scale deals
• Build pipeline, forecast business, lead the internal team, communicate key updates and competitive intelligence
• Exceed quarterly and annual new and expansion software subscription, renewals, professional service and training business goals

Sales Account Manager

• Lead Image Management
• Architectural Design
• Own Test Frameworks
• Drive Configuration as Code
• Collaborate and Innovate

Staff Software Engineer, Public Cloud – Java, Python/Go

• Design and implement elegant, scalable application services (Go/Node.js) that wrap AI capabilities for enterprise use.
• Lead the deployment of inference servers (vLLM, Triton) using KServe, KubeRay, or Knative to ensure serverless-style scaling for AI workloads.
• Build internal tooling, SDKs, and "AI Gateways" that enhance team agility and simplify the integration of Foundation Models (Llama, GPT) into product features.
• Architect robust Retrieval-Augmented Generation (RAG) pipelines and prompt management services that integrate seamlessly with vector databases and enterprise data sources.
• Partner with UI engineers, UX designers, and Product Management to ensure the AI platform is not just powerful, but highly usable for internal developers.
• Ensure AI workloads are secure, multi-tenant, and optimized for GPU resource scheduling (MIG, fractional GPUs) within Kubernetes.

Staff Software Engineer – AI Systems, Runtimes

Systems Engineer

• Proactively seek out and identify needed system enhancements
• Point of contact for business stakeholders around prioritization, coordination, and escalation of projects and enhancements
• Analyze existing business processes and system configurations to identify gaps
• Gather and document business requirements from end users as well as supporting the prioritization process.
• Review best practices and elicit information regarding feature roadmap with vendors
• Design solutions to optimize processes and user experience
• Present to-be solutions to business stakeholders using formal design documentation, flowcharts, and example use case scenarios
• Provide developers with well defined user stories and acceptance criteria to ensure customizations are implemented according to business stakeholder requirements
• Ensure system modifications adhere to the change control processes and compliance policies
• Know when the best solution may not be a change in system design
• Planning, execution and documentation of testing phases as required.
• Support monthly release management
• Communicate system changes to broader user audience in advance so they understand the change and how to use it prior to implementation
• Develop documentation to support end-user training and knowledge transfer within the team
• Resolve L2 support tickets as assigned and within established service level objectives
• Escalate issues to vendor technical support as appropriate
• Answer user questions and direct them to training materials

Senior Systems Analyst, Salesforce

• Help build the leading platform for AI and Machine Learning in the enterprise.
• Design, code, and implement elegant, scalable, enterprise-quality AI inference services powered by machine learning models.
• Design and Develop AI Model Registry and AI applications
• Work to enhance developer velocity and team agility.
• Build strong relationships and collaborate with platform and front-end engineers, quality engineers, UX designers, as well as Product Management, Field, Professional Services, and other partners.