
1001 - 5000 employees
📋 Compliance
☁️ SaaS
💰 Private Equity Round on 2017-04
AI • Compliance • SaaS
Mitratech is a leading provider of enterprise legal management, risk management, and human resources solutions. Their platform incorporates automation, analytics, and artificial intelligence technologies to enhance efficiency and compliance across organizations. Mitratech specializes in tools for legal departments, risk management, compliance tracking, and HR management, creating an interconnected environment that empowers professionals to work smarter and achieve better outcomes.
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1001 - 5000 employees
📋 Compliance
☁️ SaaS
💰 Private Equity Round on 2017-04
AI • Compliance • SaaS
Mitratech is a leading provider of enterprise legal management, risk management, and human resources solutions. Their platform incorporates automation, analytics, and artificial intelligence technologies to enhance efficiency and compliance across organizations. Mitratech specializes in tools for legal departments, risk management, compliance tracking, and HR management, creating an interconnected environment that empowers professionals to work smarter and achieve better outcomes.
• Set technical direction across multiple services and teams, operating with broad autonomy • Define the AI platform patterns other teams build on — agent orchestration, tooling, governance hooks, and evaluation surfaces • Own reliability, testing, CI/CD, and operational standards across multiple teams • Provide technical leadership across teams, and influence staffing and roadmap priorities • Serve as a technical advisor and expert to teams, and embed within teams to deliver complex, high-value functionality • Stay hands-on — design and build production systems in Python across the AI stack • Define patterns and mentor engineers across teams, raising the technical bar
• Principal-level, hands-on experience as a technical leader who sets direction across teams while still writing production code, with deep expertise across the modern Python AI stack. • Deep expertise in Python and backend service development — building and operating production APIs and services. • Cloud platform engineering — designing and running cloud-native, event-driven systems (AWS preferred). • GenAI / LLM application engineering — RAG, embeddings, prompting, and guardrails on managed model platforms. • Agent tooling and integration protocols — agent orchestration frameworks and tool/context protocols including the design of agent coordination patterns. • Data persistence — across relational, key-value, document, and warehouse stores, with async data access and schema migration. • Application security and identity — authentication, authorization, secrets management, and policy enforcement, ideally in a multi-tenant context. • Automated testing and quality engineering — across unit, integration, and end-to-end layers. • Modern developer-tooling and code-quality practices — linting, typing, formatting, and reproducible builds. • Comfortable with Infrastructure as Code, containerization and orchestration, CI/CD and release automation, and observability and evaluation for LLM and backend systems. • Nice to have: frontend / web UI development; data warehouse engineering; and NoSQL / document databases. • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Health, Dental & Vision Insurance * • 401 (k) + Employer Match * • Open PTO + 11 Paid Holidays + 4 Annual Paid Global Wellness Days Off • STD, LTD & Group Life Insurance • Paid Parental Leave • Pet Insurance • FSA & HSA Options • Employee Assistance Program
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