Confluent is hiring an STS Solutions Engineer to join our Global Scale Solutions Engineering team. In this pivotal role, you will develop deep technical expertise to serve as a high-impact resource, driving Data Streaming Platform (DSP) adoption by supporting complex solution design engagements and moving new use cases into production.
What You'll Do
- Partner with field teams to accelerate the adoption of the Data Streaming Platform by moving complex customer use cases from initial concept into full production environments.
- Support high-touch solution design engagements, providing deep technical architectural guidance to ensure scalable and resilient deployments.
- Act as an escalation point to identify and resolve critical technical hurdles, ensuring seamless integration and blueprinting during the customer journey.
- Conduct deep-dive discovery sessions to gather requirements and develop high-fidelity Proof of Concept (POC) solutions that demonstrate Confluent's unique value.
- Architect and maintain advanced technical artifacts, including reusable architecture blueprints, prototypes, and automated tools that empower the broader SE community.
- Deliver expert-level workshops, webinars, and training sessions to educate partners and internal teams on the latest DSP features and best practices.
What We're Looking For
- 4+ years of Solutions Engineering or similar work experience in a technical pre-sales capacity.
- Process & Efficiency, a 'scale' mindset. An ability to quickly leverage standardized demo environments, template proposals, and documented Proof of Concept (PoC) scopes to minimize preparation time.
- Experience with Event-Driven architecture, Data Integration & Processing Techniques, Database & Data Warehouse technologies.
- First-Hand exposure to Cloud Architecture, Migrations, Deployment & Application Development.
- Experience with Automation, GitOps and Kubernetes.
- Proficiency in Java, Python or SQL.
- Development or implementation experience in a cloud-based environment, along with Technical certifications (e.g., Cloud Developer/Architect, Data Engineering & Integration).
- Clear, consistent demonstration of self-starter behavior, a desire to learn new things and tackle hard technical problems.
- Managing multiple evaluation processes across various industry verticals and use cases, ability to be nimble and organized is a must.
- Exceptional presentation and communications capabilities to all levels across an organization.
- Ability to explain complex concepts in plain, non-technical language that resonates with mid-level managers and business owners.
- Fluency in English is a requisite.
Nice to Have
- Previous experience building solutions with Apache Kafka.
- Understanding of systems operations concepts (disk, network, operating systems, etc).
- Experience with software development tools, infrastructure automation, and CI/CD tooling (Terraform, Ansible).
- Experience building and operating large scale systems.
- Experience in technical pre-sales or consultative roles.
Technical Stack
- Java
- Python
- SQL
- Kubernetes
- Terraform
- Ansible
- Apache Kafka
Team & Environment
You will be part of the Confluent Global Scale Solutions Engineering team.
We are proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.
