Atlassian Solutions Engineer providing technical support for Jira and Confluence tools. Managing environments and developing integrations in a hybrid work model.
About the role
- Associate Solutions Engineer partnering with sales to design and prove Cloudera's hybrid data platform. Engaging with customers to deliver AI/ML solutions that meet business objectives and technical requirements.
Responsibilities
- Lead discovery sessions with enterprise customers to understand business objectives and technical requirements.
- Deliver impactful presentations, whiteboard sessions, and product demonstrations that clearly convey architectural concepts and value propositions.
- Drive proof-of-concept (POC) projects, including setup, data integration, and performance validation.
- Architect end-to-end data pipelines and AI/ML workflows using Cloudera Data Platform (CDP) across on-prem, hybrid, and public cloud deployments.
- Design scalable solutions covering data ingestion, streaming, data lakes/warehouses, and machine-learning lifecycle management.
- Recommend cluster sizing, performance tuning, and security/governance best practices.
- Build and deploy ML models using Python, Scala, or Java with frameworks such as PyTorch, TensorFlow, or Spark MLlib.
- Develop reproducible pipelines for model training, testing, and deployment (MLflow, Kubeflow, or equivalent).
- Collaborate with customer data science teams to accelerate the adoption of Cloudera Artificial Intelligence (CAI) and Agentic workflows ecosystems.
- Create reusable demo assets, sample code, and reference architectures highlighting AI/ML capabilities.
- Demonstrate Cloudera best practices and/or AI/ML integration patterns.
- Represent Cloudera at industry conferences, webinars, and community events.
Requirements
- 5–7 years in data engineering, AI/ML engineering, or solution architecture, with at least 1 year in a customer-facing pre-sales or consulting capacity.
- Strong coding ability in Python, prompt engineering, SQL, RDBMS, and at least one additional language (Java/Scala preferred).
- Deep knowledge of distributed data systems (Hadoop, Spark, Kafka, Iceberg) and major cloud platforms (AWS, Azure, GCP).
- Hands-on experience building, training, and deploying machine learning models in production.
- Exceptional presentation and storytelling skills; able to explain complex ideas with clarity to both executives and technical audiences.
Benefits
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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