Solutions Engineer

Cloudera is hiring a Solutions Engineer. Level rates it ; you can apply on Cloudera.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
The posting mentions MLOps, technical sales and data architecture among its tools and skills.
Level classes it as a mid-level role.
Cloudera has 65 other open roles on Level.
Posted within the past two weeks.

AI in this role

Solutions Engineer at Cloudera responsible for driving technical sales, designing customer solutions, and securing technical wins.

ml-opstechnical-salesdata-architecturecustomer-facingcloud-computing

Business Area:

Sales 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.

Cloudera's Solutions Engineers are the technical leaders in the sales account team. We are responsible for securing the technical win in each sales opportunity and for building an ongoing relationship with our customers to ensure their success with Cloudera technologies. You will use your strong technical skills and business acumen to understand customers’ challenges, design solutions and demonstrate how Cloudera technology can change their business. If you have a passion for technology and data, come join us!

As a Solutions Engineer, you will:

Own the technical sales process from introductory meetings (net new sales) through post-sales (customer satisfaction, upselling, and subscription renewals)
Supporting the technical needs of customers including discovering new use cases for Cloudera’s technology
Designing solutions for your customers’ needs using Cloudera technologies, based on reference architectures and common patterns
Demonstrating Cloudera products in a way that inspires your customers to say “yes” to Cloudera
Partnering with your Account Managers to show your customers the true value of a Cloudera solution and drive successful sales
Presenting product roadmap and vision to inspire your customers to think bigger
Interfacing with other Cloudera teams to ensure your customers hear one Cloudera voice
Advocating for your customers’ needs to Product Management and Engineering
Participating in external publicity and evangelism (conferences, meetups, webinars, blogs)
Achievements are aligned to a team goal with annual sales targets, as well as to your participation in knowledge exchange with peers and the wider community.

We’re excited about you if you have:

A passion for using technology to make a difference to people and organisations. We'll supply some amazing tools to help you with this, and you'll provide the connection to use cases, which make it real for your customers
A minimum of 5 years experience in a customer-facing role, ideally in a technical sales context
A University degree in Computer Science, Engineering or a related field
Experiencing the entire lifecycle from gathering and understanding business requirements to design to technology evaluation to pilot program to implementation to production maintenance and support
Confidence working with customers and public speaking on Cloudera’s vision, proposed architectures and business outcomes to all levels
Ability to be technically hands-on and have a problem solving personality
Excellent written and verbal communication skills
Experience with the following technologies:
- - Big Data, Data Warehousing or Relational Databases - Knowledge of the Cloudera Data Platform and the Hadoop ecosystem is a plus.
  - One or more of the three major cloud service providers (AWS, Azure or GCP) - certification is a plus
  - Practical experience with the full data lifecycle from data ingestion to data engineering, data warehouse, operational data store, data science and machine learning
  - Knowledge around Operations, Infosec and Data Governance within the enterprise adopting hybrid cloud approach
  - Unix/Linux expertise including solid OS and networking fundamentals
  - Foundational experience with Java / OO programming, Python or other scripting languages
  - Experience with Spark, Kafka, Flink, Hive, Impala and other open source projects
  - Experience with Kubernetes
  - Foundational experience with DevOps or MLOps

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-ZY1

How we rate this

Solutions Engineer at Cloudera rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Solutions Engineer is an open job at Cloudera.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Singapore > Singapore.
The job was posted on October 19, 2026.
Seniority: mid.
Applications are handled by Cloudera. Apply on Cloudera

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsTechnical SalesData ArchitectureCustomer FacingCloud Computing

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Tell me about a project where technical sales was part of your work. What did you do?
Tell me about a project where data architecture was part of your work. What did you do?
Tell me about a project where customer facing was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ML Ops, Technical Sales, Data Architecture, Customer Facing, and Cloud Computing. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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