Pre Post Sales Engineer (Kubernetes, Helm, and Docker)

Intelix.AI; United States; On-site; USD 216,000 - 264,000; Full time

Job summary

Intelix.AI is seeking a post-sales engineer to own enterprise deployments end-to-end, collaborating with the CTO to build playbooks and scale solutions.

You will split time between customer-facing activities and writing production code in Python or TypeScript, deploying into SaaS, VPC, and on-prem environments using Kubernetes, Helm, and Docker. Strong cloud experience and security collaboration are required.

Qualifications

• 3–6 years in a post-sales forward deployed / solutions / customer engineering role at a B2B SaaS or AI/ML company.
• Production Kubernetes, Docker, and Helm, plus at least one major cloud (AWS/Azure/GCP). Enterprise on-prem or private-cloud deployment experience.
• Comfortable with Terraform or similar IaC, CI/CD, Linux, Postgres, REST APIs.
• Writes and ships production code autonomously. Strong in Python or TypeScript, at home in a terminal.
• Credible in front of enterprise engineering teams. You can hold your own with their platform and security people.
• Bonus: regulated industries (finserv, healthcare, telecom, insurance), SOC 2 / security questionnaires, LLM/RAG/agent tooling, OpenTelemetry.

Responsibilities

• Own enterprise onboarding and deployments end-to-end, working directly with the CTO.
• Role is 70% customer-facing / 30% shipping production code.
• Deploy the platform into demanding enterprise environments (SaaS, VPC, and on-prem) using Kubernetes, Helm, and Docker.
• Own the full enterprise integration surface: SAML/SSO, SCIM, networking (PrivateLink/VPC peering, DNS, TLS), and security reviews with customer infosec teams.
• Debug live in customer environments: logs, kubectl, network traces. Turn what you find into product fixes.
• Ship real code (Python/TypeScript) back into the product based on what you learn in the field.
• Clear path to leading deployments/solutions engineering as the team scales.

Skills

Python

TypeScript

Customer engineering

Tools

Kubernetes

Docker

Helm

Terraform

CI/CD

Linux

PostgreSQL

REST APIs

Job description

Full-time

Up to $240k base + meaningful equity (base + equity, this is not an OTE role)

This is a Post-sales engineering role owning enterprise deployments end-to-end for a high calibre AI observability platform. Clients you will be working with include Arize, W&B, Fiddler, Databricks, Snowflake, Palantir, OpenAI, Anthropic, Scale, & LangChain

THE ROLE

• Own enterprise onboarding and deployments end-to-end, working directly with the CTO. Today he does these himself; you take them over and build the playbook.
• Role is 70% customer-facing / 30% shipping production code.
• Deploy the platform into demanding enterprise environments (SaaS, VPC, and on-prem) using Kubernetes, Helm, and Docker.
• Own the full enterprise integration surface: SAML/SSO, SCIM, networking (PrivateLink/VPC peering, DNS, TLS), and security reviews with customer infosec teams.
• Debug live in customer environments: logs, kubectl, network traces. Turn what you find into product fixes.
• Ship real code (Python/TypeScript) back into the product based on what you learn in the field.
• Clear path to leading deployments/solutions engineering as the team scales.

THE IDEAL PROFILE

• 3–6 years in a post-sales forward deployed / solutions / customer engineering role at a B2B SaaS or AI/ML company. This is not a pre-sales SE role.
• Production Kubernetes, Docker, and Helm, plus at least one major cloud (AWS/Azure/GCP). Enterprise on-prem or private-cloud deployment experience.
• Comfortable with the supporting stack: Terraform or similar IaC, CI/CD, Linux, Postgres, REST APIs.
• Writes and ships production code autonomously. Strong in Python or TypeScript, at home in a terminal.
• Credible in front of enterprise engineering teams. You can hold your own with their platform and security people.
• Genuinely enjoys the 70/30 customer/code split. Not tolerates it, enjoys it.
• Bonus: regulated industries (finserv, healthcare, telecom, insurance), SOC 2 / security questionnaires, LLM/RAG/agent tooling, OpenTelemetry.