Solutions Architect - K8s - AI Infrastructure Orchestration - REMOTE

• Remote 1st Culture (US or Canada only)
• Series A Startup
• Base Salary $175k - $200K (depending on experience) + Equity

Subject Matter Knowledge & Experience:

• External Client Interaction (Solutions Architecture - Pre Sales - Support)
• Containerization, Orchestration
• Kubernetes (Ops & integrating into Kubernetes)
• CLI expertise (Bash, Shell, Python, Go)

Key Responsibilities

Support, Guide, Design, and Integrate Solutions:

• Lead portions of external customer engagements ensuring seamless product implementation.

Drive Platform Adoption and Client Success:

• Collaborate with internal teams (product, engineering, customer success) to promote platform adoption and ensure client satisfaction.
• Bridge gaps between teams to align strategies and deliver cohesive solutions that meet client needs.

Master Cloud-Native Technologies and Services:

• Build deep expertise in cloud-native applications, microservices, and modern DevOps practices.
• Stay current with industry trends and leverage this to provide innovative, informed guidance and solutions to clients.

• Engage Clients - Technical Leaders including CloudOps, Systems, and similar.
• Build and nurture relationships with technical stakeholders.
• Offer strategic guidance to help clients fully leverage solutions, driving measurable value and fostering long-term advocacy for the platform.

• Develop practical, actionable high-quality technical content including
• Solution Guides, Reusable Sample Code, blog posts.
• Empower clients in overcoming technical challenges.

• 7+ years in software engineering or solution architecture or sales engineer (or similar).

• 2+ years focused on Kubernetes or cloud-native platforms.
• Knowledge/understanding of Designing, Deploying & Managing AKS, EKS, GKE.

• Absolute comfort at the bash prompt.
• IaC expertise (Terraform).
• Python, Golang scripting proficiency.
• Understanding of Hybrid or multi-cloud architectures.
• Excellent communication skills, with an ability to convey technical solutions effectively to varied stakeholders.
• Bachelors or Masters degree in Computer Science, Engineering, or related.