Csdisco

Csdisco

Enterprise AI Platform Engineer

Austin, TX

No sponsorshipDetected 43 days ago
JavaScriptTypeScriptPythonReactVue.jsFull-Stack DevelopmentCode ReviewGitNoSQLPostgreSQLRedisAWSAzureCloud PlatformsDockerKubernetesTerraformCI/CDGitHub ActionsJenkinsDatadogDevOpsPlatform EngineeringREST

About the role

  • This role is a vital link between the AI Innovation Lab and production engineering, evolving experimental Minimum Viable Products (MVPs) into long-term corporate capabilities.
  • A final key responsibility is training the team on DevOps practices and creating clear technical documentation for all stakeholders.

Responsibilities

  • This includes designing cloud infrastructure (AWS/Azure), implementing CI/CD pipelines, containerizing applications (Docker/Kubernetes), developing integration APIs, and setting up comprehensive monitoring and observability for all production AI systems.
  • Security and Compliance: Ensure secure deployment by design, implementing robust secrets management and protecting data through encryption at rest and in transit.
  • This role also establishes comprehensive audit logging, partners on critical security reviews, and validates ongoing compliance with enterprise policies and regulatory standards.
  • Solution Architecture and Design: The role involves reviewing prototypes to design production-ready and scalable architectures for 1,000+ users, while collaborating on technology selection and integration patterns.
  • Additionally, the engineer establishes engineering standards and best practices and creates comprehensive technical documentation.
  • Developer Enablement and Support: This role also involves supporting and mentoring non-engineering teams, including code review and troubleshooting for prototype solutions, alongside building internal developer platforms and reusable infrastructure-as-code templates to accelerate development.
  • 5-8 years of software engineering experience focusing on production systems, full-stack development (Python/TypeScript), and RESTful API design.
  • Deep expertise in cloud infrastructure (AWS/Azure), containerization (Docker/Kubernetes) and building robust DevOps CI/CD pipelines.
  • Ensure secure deployment by design, implementing robust secrets management and protecting data through encryption at rest and in transit.
  • The role involves reviewing prototypes to design production-ready and scalable architectures for 1,000+ users, while collaborating on technology selection and integration patterns.

Requirements

  • Proven track record of transitioning MVPs to production environments or contributing to platform engineering and developer productivity.
  • Strong Python skills and deep expertise in cloud engineering (AWS/Azure equivalents),
  • Proficiency in container technologies (Docker, Kubernetes/EKS), relational/NoSQL databases (PostgreSQL, Redis), and designing APIs and integration patterns (REST, OAuth, API gateways).
  • Even Better If You Have…
  • Expertise in specialized AI/ML platforms (LangChain, LlamaIndex, RAG) and integration tools (Workato, Zapier).
  • Operational experience with Cloud Security and Observability tools, including AWS IAM, Secrets Manager, and monitoring systems like DataDog and Grafana.
  • Familiarity with Serverless architecture (Lambda) and modern Frontend frameworks (React, Vue).
  • Authorization to Work in the U.S.: Candidates must be legally authorized to work in the United States without sponsorship now or in the future.

Skills

  • Re-architect initial AI prototypes (Python, Workato, Claude Code) for secure, scalable enterprise deployment.

Compensation

  • Competitive salary plus RSUs

Benefits

  • Benefits, including medical, dental and vision insurance, as well as 401(k)

Company info

  • Opportunity to be a part of a company that is revolutionizing the legal industry

Visa & Work Authorization

  • Authorization to Work in the U.S.: Candidates must be legally authorized to work in the United States without sponsorship now or in the future.
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This listing is sourced directly from Csdisco's careers page and normalized into a canonical job model.