Job Details

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Sales Engineering Specialist - Kubernetes, Docker & Containerization in the United States.

This role sits at the intersection of presales engineering, cloud architecture, and customer enablement, with a strong focus on containerized and hybrid deployment environments. You will work closely with sales, product, and engineering teams to demonstrate and deliver the value of modern data pipeline architectures built on Kubernetes and related container technologies. Acting as a trusted technical advisor, you will help customers design secure, scalable, and efficient deployment models across cloud and hybrid infrastructures. The position blends deep technical expertise with customer-facing influence, requiring both hands-on architecture skills and strong communication abilities. You will also contribute internally by enabling peers and shaping best practices for hybrid deployment solutions. This is a highly collaborative, remote-first role with significant exposure to cutting-edge cloud and data technologies.

Accountabilities

In this role, you will drive technical presales success and customer adoption of hybrid deployment architectures by bridging engineering depth with business impact.

• Partner with sales and field engineering teams to design, validate, and present containerized hybrid deployment architectures tailored to customer needs
• Act as a technical advisor in customer engagements, translating complex infrastructure requirements into scalable Kubernetes-based solutions
• Collaborate with product, engineering, and SRE teams to enhance hybrid deployment capabilities, ensuring performance, security, and cost efficiency
• Support end-to-end technical validation of deployments across Kubernetes, Docker, Podman, and major cloud platforms (AWS, Azure, GCP)
• Stay ahead of industry trends in containerization, cloud-native architectures, autoscaling, and secure data management
• Enable internal teams by sharing expertise, creating best practices, and coaching peers on hybrid deployment value delivery
• Contribute to troubleshooting and optimization of customer architectures in complex, real-world environments

Requirements

The ideal candidate brings strong hands-on experience in containerized systems, cloud architecture, and customer-facing technical roles within complex data environments.

• 2+ years of experience working with Kubernetes, Docker, Podman, or similar container technologies in production environments
• Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud, including managed Kubernetes services
• Experience with hybrid cloud or on-premise architectures and modern data integration patterns
• Ability to design and explain distributed systems, networking considerations, and secure data pipelines
• Strong problem-solving skills with experience applying technical solutions in customer-facing contexts
• Excellent communication skills with the ability to simplify complex technical concepts for diverse audiences
• Curiosity and enthusiasm for learning emerging technologies and sharing knowledge with teams

Benefits

• Competitive total compensation with base salary and performance-based incentives
• 100% employer-paid medical insurance (varies by eligibility and region)
• Generous PTO policy, paid sick leave, holidays, and inclusive parental leave
• Equity or RSU stock grants (role-dependent)
• Monthly cell phone stipend and professional development support
• Access to mental health and wellness platforms, including coaching and therapy resources
• Remote-first work environment with global collaboration opportunities
• Team-building activities, virtual events, and employee engagement programs
• Additional benefits may vary based on location and employment classification

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.