Note: The job is a remote job and is open to candidates in USA. DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises. The Enterprise AI Platform Engineer transforms citizen-developed AI prototypes into secure, scalable, production-grade enterprise systems, acting as a vital link between the AI Innovation Lab and production engineering.
Responsibilities
- Re-architect initial AI prototypes (Python, Workato, Claude Code) for secure, scalable enterprise deployment
- 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
- Ensure secure deployment by design, implementing robust secrets management and protecting data through encryption at rest and in transit
- Establish comprehensive audit logging, partner on critical security reviews, and validate ongoing compliance with enterprise policies and regulatory standards
- Review prototypes to design production-ready and scalable architectures for 1,000+ users, while collaborating on technology selection and integration patterns
- Establish engineering standards and best practices and create comprehensive technical documentation
- Support and mentor non-engineering teams, including code review and troubleshooting for prototype solutions
- Build internal developer platforms and reusable infrastructure-as-code templates to accelerate development
- Train the team on DevOps practices and create clear technical documentation for all stakeholders
Skills
- 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 framework
- Strong Python skills and deep expertise in cloud engineering (AWS/Azure equivalents)
- 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)
- 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
- 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)
Benefits
- Benefits, including medical, dental and vision insurance, as well as 401(k)
- Competitive salary plus RSUs
- Flexible PTO
- Open, inclusive, and fun environment
- Opportunity to be a part of a company that is revolutionizing the legal industry
- Growth opportunities throughout the company
Company Overview