
Solution Engineer - Confluent
Seattle, WAJobSeen 3 days agoSeen in employer's feed 3 days ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
IBM Global Sales is seeking a Solutions Engineer for Confluent to advise customers and partner with Account Executives. The role supports data-streaming use cases from evaluation through go-live and ongoing adoption, translating business needs into technical designs. The engineer will lead proofs of concept, guide operational maturity, identify optimization opportunities, and collaborate with Product and Engineering. Preferred experience includes Kafka, stream processing, value-based selling, and mentoring.
Skills & qualifications
Skills
Qualifications
Full job description
Introduction
At IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you'll partner with colleagues, clients, and partners to co-create solutions that drive digital transformation and lasting impact.Success in Global Sales is built on curiosity, empathy, and collaboration. You'll connect technical understanding with strong people skills, building trusted relationships and shaping solutions that improve business and society. With world-class onboarding, continuous learning, and a supportive culture, IBM offers the tools and opportunities to grow your career. Join us and be part of a global team that's passionate about driving innovation and making a difference.
Your role and responsibilities
Solutions Engineers at Confluent drive not only the early-stage evaluation within the sales process, but also play a crucial role in enabling ongoing value-realization for customers, all while helping them move up the adoption maturity curve. In this role you'll partner with Account Executives to be the key technical advisor in service of the customers. You'll be instrumental in surfacing the customers' stated or implicit Business Needs, and coming up with Technical Designs to best meet these needs. You may find yourself at times facilitating art of the possible discussions and storytelling to inspire customers in adopting new patterns with confidence, and at other times driving creative solutioning to help get past difficult technical roadblocks. Overall, we look upon Solutions Engineers to be a key cog within the Customer Success Team that help foster an environment of sustained success for the customer and incremental adoption of Confluent's Technology.
What You Will Do:
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Help advance new & innovative Data Streaming use-cases from conception to Go-Live
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Execute on and lead Technical Proofs of Concept
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Conduct Discovery & Whiteboard Sessions to develop new use-cases
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Provide Thought Leadership by delivering Technical Talks and Workshops
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Guide customers with hands-on help and best practice to drive operational maturity of their Confluent Deployment
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Analyze Customer Consumption trends and identify Optimization opportunities
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Work closely with Product and Engineering teams, and serve as a key Product advocate across the Customer, Partner and Industry ecosystem
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Forge strong relationships with key customer stakeholders and serve as a dependable partner for them
Required technical and professional expertise
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1+ years of Solutions Engineering or similar work experience
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Experience with Event-Driven architecture, Data Integration & Processing Techniques, Database & Data Warehouse technologies
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First-Hand exposure to Cloud Architecture, Migrations, Deployment & Application Development
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Experience with Automation, GitOps and Kubernetes
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Proficiency in Java, Python or SQL
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Technical certifications - Cloud Developer/Architect, Data Engineering & Integration
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Clear, consistent demonstration of self-starter behavior, a desire to learn new things and tackle hard technical problems
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Exceptional presentation and communications capabilities.
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Confidence presenting to a highly skilled and experienced audience, ranging from developers to enterprise architects and up to C-level executives
Preferred technical and professional experience
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Experience with Kafka, Apache Flink, stream processing, or real-time analytics platforms.
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Familiarity with value-based selling, MEDDPICC or similar qualification frameworks.
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Experience creating repeatable demos, technical content, playbooks, or enablement material for the broader field organization.
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A track record of mentoring peers and influencing team practices beyond your own accounts.
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Comfort engaging senior customer stakeholders and helping shape larger platform or transformation discussions.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
How this job compares
Set against the 1,437 open Solutions Engineer jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This postingNot listed
- Washington median$132–212K/yr28 salary ranges
- Openings
- Olive Jobs lists 36 open Solutions Engineer jobs in Washington and 1,437 across the US. 26% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington
- Deloitte5 open
- IBM (this employer)5 open
- Akamai Technologies, Inc.3 open
- Experience
- This posting asks for at least 1 year of experience — less than three in four Solutions Engineer postings that state a minimum ask for (median 5 years, across 1,201 postings).
- Education
- 342 of the 1,437 open Solutions Engineer jobs (24%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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