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About the Role
The Enterprise AI Platform Engineer transforms citizen-developed AI prototypes into secure, scalable, production-grade enterprise systems. This role is a vital link between the AI Innovation Lab and production engineering, evolving experimental MVPs into long-term corporate capabilities.
Responsibilities
- Re-architect initial AI prototypes for secure, scalable enterprise deployment.
- Design cloud infrastructure (AWS/Azure).
- Implement CI/CD pipelines.
- Containerize applications (Docker/Kubernetes).
- Develop integration APIs.
- Set up comprehensive monitoring and observability for all production AI systems.
- Ensure secure deployment by design.
- Implement robust secrets management.
- Protect data through encryption at rest and in transit.
- Establish comprehensive audit logging.
- Partner on critical security reviews.
- Validate ongoing compliance with enterprise policies and regulatory standards.
- Review prototypes to design production-ready and scalable architectures for 1,000+ users.
- Collaborate on technology selection and integration patterns.
- Establish engineering standards and best practices.
- Create comprehensive technical documentation.
- Support and mentor non-engineering teams.
- Perform code review and troubleshooting for prototype solutions.
- Build internal developer platforms and reusable infrastructure-as-code templates.
- Train the team on DevOps practices.
- Create clear technical documentation for all stakeholders.
Requirements
- 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.
- Proven track record of transitioning MVPs to production environments or contributing to platform engineering and developer productivity.
- Proficient in Python, JavaScript/TypeScript, and modern frameworks.
- Strong Python skills and deep expertise in cloud engineering (AWS/Azure equivalents).
- Proficiency in Infrastructure-as-Code (Terraform/CloudFormation) and CI/CD tools (e.g., GitHub Actions, Jenkins).
- Proficiency in container technologies (Docker, Kubernetes/EKS), relational/NoSQL databases (PostgreSQL, Redis), and designing APIs and integration patterns (REST, OAuth, API gateways).
- 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).
- Candidates must be legally authorized to work in the United States without sponsorship now or in the future.
- DISCO is not currently sponsoring visas, including, but not limited to, H-1B, TN, or EAD, and we are not accepting visa transfers.
Skills
- Python
- Workato
- Claude Code
- AWS
- Azure
- Docker
- Kubernetes
- CI/CD
- API design
- Secrets management
- Encryption
- Audit logging
- Infrastructure-as-Code
- Terraform
- CloudFormation
- GitHub Actions
- Jenkins
- EKS
- PostgreSQL
- Redis
- REST
- OAuth
- API gateways
- LangChain
- LlamaIndex
- RAG
- Zapier
- AWS IAM
- Secrets Manager
- DataDog
- Grafana
- Lambda
- React
- Vue
- JavaScript
- TypeScript
Location
- U.S.
Work Type
- Full-time
Experience Level
- 5-8 years
Salary/Compensations
- Competitive salary plus RSUs
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Flexible PTO
About the Company
- DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments.
- Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters.
- At DISCO, we believe AI is a core enabler of how work gets done.
- All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve outcomes, and continuously evolve how they operate in their role.
- Join us to fulfill our mission to use technology to strengthen the rule of law.
Equal Opportunity
- We are an equal opportunity employer and value diversity.
- We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.