Sales Engineer | India

Cast AI

1d • Remote

About The Position

Cast AI is seeking a Sales Engineer to join their team. This role focuses on building and managing the Sales Engineering platform and tooling, ensuring the quality and reliability of releases before they reach customers. The Sales Engineer will act as a quality gate, testing releases against realistic customer environments and providing feedback to product and engineering teams. This is a unique opportunity to define and build a critical function within the Sales Engineering organization, with direct impact on product quality and customer success.

Requirements

• Deep, hands-on Kubernetes expertise (CKA or CKAD is the gold standard).
• Strong CI/CD engineering experience, having built non-trivial pipelines in GitLab CI and/or GitHub Actions from scratch.
• Proficiency in Infrastructure as Code tools like Terraform and Helm, with experience versioning and peer-reviewing infrastructure.
• A genuine QA and "break it" instinct, with a focus on edge cases, failure modes, and unexpected customer actions.
• Multi-cloud comfort (AWS, GCP, or Azure, ideally more than one).
• Scripting fluency (Python, Go, or Bash) sufficient to build internal tooling.
• Self-direction and the ability to define a playbook for a new function.

Nice To Haves

• Prior experience as an SDET, platform engineer, or SRE with a focus on quality and tooling.
• Exposure to FinOps or Kubernetes cost optimization.
• Experience standing up demo or sandbox environments for a technical sales or solutions organization.
• Familiarity with observability tooling (Prometheus, Grafana).
• An eye for cost guardrails on ephemeral infrastructure.

Responsibilities

• Rebuild all SE tooling, including demo environments, POC provisioning, and sandbox clusters, as reproducible CI/CD pipelines in GitLab CI and/or GitHub Actions.
• Eliminate local dependencies entirely, enabling any SE to spin up a clean, branded, working demo from a pipeline.
• Treat SE infrastructure as code: Terraform/Helm, versioned, peer-reviewed, disposable and re-creatable on demand.
• Build internal tooling for provisioning, environment teardown, cost guardrails on demo clusters, and repeatable scenario seeding.
• Validate release candidates from the customer-deployment lens, considering unusual cluster topologies, multi-cloud environments, spot and preemptible mixes, multi-region, restrictive RBAC, air-gapped patterns, and scale edges.
• Own a defined sign-off in the release process, acting as a documented gate that release candidates must pass before General Availability, with the authority to flag blockers and escalate.
• Build automated test scenarios that replicate how the field exercises the product to ensure scalability of the quality gate.
• Turn field-found defects into structured, reproducible, actionable signal for product and engineering, prioritized and tied to customer and deal impact.
• Maintain a strong working relationship with engineering and QA leadership to ensure findings are communicated and addressed.

Benefits

• Equity options
• Learning budget for professional and personal development, including access to international conferences and courses.
• Team-building budget and company events.
• Equipment budget.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed