Senior Sales Engineer - DevTools

Responsibilities:

• Partner with Account Executives across the full sales cycle, from technical discovery and demos through POC trials and proposal support, to prove solution value and close business.
• Conduct deep discovery to understand customer architecture, workflows, and business objectives; map findings to targeted solutions that demonstrate clear ROI.
• Design and deliver compelling technical presentations, workshops, and proof-of-concept engagements tailored to both executive and engineering audiences.
• Serve as the internal champion for the customer, collaborating across Product, Marketing, Support, and Professional Services to surface feedback and shape roadmap and project priorities.
• Evaluate customer environments and provide architectural guidance on solution fit, implementation approach, risk tradeoffs, and compliance considerations.
• Contribute to the broader technical community through conference sessions, webinars, blog posts, and open source engagement, including direct participation in relevant projects and communities.
• Support lead generation and pipeline development alongside territory managers, including trade show participation and introductory technical sessions.

Requirements:

• BS or MS in Computer Science or equivalent; 5+ years in a customer-facing technical role (pre-sales, solutions engineering, professional services delivery, or technical support leadership).
• Hands-on experience with Java and/or C/C++ enterprise development; comfort reasoning about performance, build toolchains, debugging complex systems, and build acceleration tools such as JRebel.
• Strong Linux background with solid understanding of the enterprise Linux ecosystem, including upstream/downstream repo hierarchy, distro differences (RHEL/Rocky/Debian/SLES), and on-prem vs. cloud vs. hybrid deployment patterns.
• Demonstrable experience with open source software adoption and support, including active community participation via code, documentation, or presentations; familiarity with CNCF technologies (e.g., Kubernetes, Kafka, - Elasticsearch, Redis, Vault) and middleware stacks (e.g., Tomcat, ActiveMQ, Apache Camel) is a strong plus.
• Cloud platform experience (AWS, Azure, etc.); understanding of cloud-native architecture, resource deployment models, and hybrid/bare-metal tradeoffs.
  Experience with CI/CD pipelines and DevOps tooling (Jenkins, GitHub Actions, GitLab CI, Ansible, Terraform, Nexus/Artifactory).
• Proficiency with containerization and virtualization at meaningful scale (Docker, Podman, Kubernetes, OpenShift; Vagrant, KVM/QEMU, Proxmox).
• Familiarity with HPC, scientific computing, or performance engineering use cases, including advanced debugging tools such as TotalView and foundational libraries for machine learning and predictive analytics, is a meaningful differentiator.
• A strong textbook understanding of both SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra) and situational awareness of where each fits; practical experience preferred.
• Proven ability to explain complex technical concepts clearly to mixed audiences, with strong demo skills, confident written communication, and experience authoring technical proposals or RFP responses.
• A genuine passion for helping developers succeed, with awareness of how AI-assisted development workflows, advanced tooling, and productivity platforms translate into measurable team outcomes; self-directed and adaptable, comfortable ramping quickly on new technologies and operating across time zones in a distributed team environment.
• Strong preference for open-source technology contribution and/or experience.

AI Fluency:

Level 2: Skilled Prompter (Advanced Foundation / Early Proficient) - Crafts effective, outcome‑oriented prompts, iterates to improve quality and speed, and validates AI outputs against business context and expectations.