Cloudera

Full-stack Engineer

• 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

Backend Engineer

• 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.

Staff Software Engineer – AI

Manager

• Work closely with cross-functional teams and customers to provide contracting expertise to negotiate requisite agreements for new and follow-on business.
• Ensure all agreements comply with company policies and global legal standards with respect to hybrid deployment anywhere cloud software, data privacy, and commercial licensing requirements.
• Prepare contract paperwork, advise management and internal stakeholders of contractual rights and obligations, and mitigate contractual risks.
• Balance competing priorities of constituencies as compared to business needs and use astute judgment as to when to escalate.
• Compile and analyze contract-related data while maintaining accurate historical contract information.
• Build rapport with internal clients (including the sales, deal desk, and revenue teams) and leverage these relationships to facilitate closing sales contracts efficiently while minimizing risk.

Contracts Manager

• Design, develop, and maintain automated pipelines for building, testing, and distributing secure, hardened public cloud images across AWS, GCP, and Azure.
• Focus on developing core image capabilities, including security hardening, infrastructure provisioning, configuration management, and release automation for products.
• Utilize Packer, Python, and Go to automate the creation and lifecycle management of these cloud artifacts.
• Utilize Ansible and Salt for configuration management.
• Serve as a technical expert and role model, providing guidance and mentorship to other engineers on best practices for image creation, security, and cloud infrastructure.
• Play a pivotal role in influencing platform definition, technical architecture of the image pipeline, and adherence to modern project delivery principles.
• Collaborate effectively with high-performance individuals across various teams to ensure image consistency and compatibility.

Senior Software Engineer – Public Cloud

• End-to-End Execution: independently determine the best implementation approach for assigned features.
• Write high-performance Java code for the API layer and modern JavaScript/TypeScript for the frontend.
• Rapid Prototyping: Transform whiteboard sketches and mock-ups into working software with high velocity.
• Architect custom dashboards and interfaces that allow non-technical users to interact with massive datasets.
• Design and implement robust APIs that decouple the frontend from backend systems.
• Prioritise 'Time to Value' and user experience, pushing back on over-engineering when a simpler solution delivers faster.

Staff Full-Stack Engineer

Data Engineer

• Design and implement robust system architectures for real-time, near real-time, and batch processing data flows to meet the operational demands of complex business systems
• Master 'Vibe Coding' and AI-orchestrated development to accelerate the delivery of new data pipelines and GenAI applications, reducing the end-to-end development lifecycle from days to hours
• Design and deploy GenAI-powered 'Self-Service' tools, including automated documentation generators and natural language interfaces, to empower business users and reduce routine engineering requests
• Standardize AI-first engineering workflows across the team to ensure high-quality, auto-validated, and well-documented code delivery
• Develop and implement data transformations to enrich and provision data, following established specifications and standards while utilizing AI-first workflows
• Partner with data owners to ensure seamless, reliable data ingestion for both traditional analytics and GenAI-powered applications
• Collaborate with Data Architects, Operational Architects, and Data Analysts to understand the data and operational requirements across different business units
• Implement monitoring and CI/CD automation processes to track data quality and ensure the reliability of AI-supported data services

Senior Data Engineer

Solutions Engineer

• Work directly with customers to implement Big Data solutions at scale using the Cloudera Data Platform and Cloudera Dataflow
• Design and implement CDP platform architectures and configurations for customers
• Perform platform installation and upgrades for advanced secured cluster configurations
• Analyze complex distributed production deployments, and make recommendations to optimize performance
• Able to document and present complex architectures for the customers technical teams
• Work closely with Cloudera’ teams at all levels to help ensure the success of project consulting engagements with customer
• Write and produce technical documentation, blogs and knowledgebase articles
• Keep current with the Hadoop Big Data ecosystem technologies

Solution Architect

SDET

• Design and execute test plans validating the end-to-end cluster creation flow on a kubernetes platform.
• Managing complex data modeling and schema drift, as well as embedding automated data quality checks and statistical anomaly detection directly into pipelines.
• 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 are accurately enforced at the data layer.
• Architect the automation framework and tools that validate a highly distributed, multi-cluster control plane.

Senior Software Engineer in Test – Cloud

Program Manager

• Own the development and speaker coordination, topics and execution of enablement programs including Know This, Workshops and Office Hours in support of PMs, PMMs, Field Systems and Finance.
• Manage calendars and content review meetings with subject matter experts to support these events.
• Disseminate and communicate information to the sales organization via the appropriate channels.
• Write and edit the enablement newsletter weekly.
• Facilitate a corporate-wide learning culture through management of Highspot and other platforms as applicable.
• Partner with other program managers to continuously build and maintain a self-service learning track that allows the Cloudera field to continuously develop skills, knowledge and understanding of processes.
• Provide support, as needed, for all programs, including scheduling, vendor management, reporting and feedback.
• Must be able to project manage separate and distinct enablement requests and programs simultaneously.
• Develop content and programs for annual Sales Kick Off in collaboration with the lead team.
• Build strong internal champions across a variety of roles and LOBs.
• Be on the constant look-out to improve any and all enablement programs.

Field Enablement Program Manager

Data Scientist

• Apply rigorous analytical thinking and modern AI capabilities to design, build, and scale high-impact solutions
• Design, develop, and deploy GenAI-powered internal applications, copilots, and workflow accelerators
• Build reusable AI components, including retrieval pipelines, structured prompting patterns, orchestration workflows, and evaluation harnesses
• Design retrieval strategies that connect LLMs to trusted internal knowledge sources, ensuring grounded and reliable outputs
• Develop and maintain statistical and machine learning models to support automation, optimization, forecasting, and classification use cases
• Implement evaluation and validation frameworks to measure quality, accuracy, and consistency of AI-driven systems
• Partner cross-functionally to identify high-value opportunities for AI enablement across the organization
• Create reusable datasets, feature pipelines, and experimentation frameworks to support iterative development
• Uphold high standards for quality, reliability, and responsible AI practices
• Contribute to peer review processes to ensure technical rigor and maintainability
• Document methodologies, assumptions, and implementation details to ensure transparency and reproducibility