Drata

Full-stack Engineer

• Partner with Product to shape roadmap requirements and recommend the right technologies and design patterns.
• Review architecture and code for your team’s projects to ensure quality, scalability, and security.
• Troubleshoot performance and scalability issues escalated from your teams.
• Own and deliver cross-team projects that are difficult to tackle at the team level.
• Mentor engineers across teams through guilds, office hours, and informal coaching.

Staff Software Engineer – Core GRC

Platform Engineer

• Design, develop, and maintain a comprehensive platform that supports internal development workflows, from code inception to deployment.
• Lead the creation of developer tools that automate and streamline our CI/CD processes
• Implement monitoring and analytics tools that provide actionable insights into application performance and development pipeline efficiency.
• Work closely with the Infrastructure and Data Teams to enhance developer tooling and data access
• Create and design architecture diagrams to guide the development of scalable and efficient systems.
• Mentor and guide team members, fostering their growth and development.
• Collaborate with product managers to translate product requirements into technical specifications.
• Architect and develop highly scalable web applications and RESTful APIs.
• Build tools, services, and automation to enhance the capabilities of our platform.
• Evaluate and enhance the performance, durability, and security of production applications.

Staff Platform Engineer, Interoperability

Research Engineer

• Design and evaluate information access + reasoning strategies across RAG, agents, and classic ML: chunking, embedding models, hybrid search, metadata filtering, structured retrieval, tool use, and multi-step workflows
• Prototype GenAI workflows (including agentic systems) that map and reason over compliance objects (controls ↔ risks ↔ requirements)
• Explore ML + probabilistic approaches where GenAI is not the best fit: classifiers, ranking models, graph/link prediction, calibration, and weak supervision
• Build and maintain evaluation frameworks: golden datasets, automated quality metrics, regression detection
• Implement and tune ranking/reranking systems: cross-encoders, LLM-based rerankers, learning-to-rank, custom scoring functions
• Run experiments to validate hypotheses and quantify improvements before production rollout
• Debug failure modes and build error taxonomies across retrieval, reasoning, and generation
• Collaborate with AI and Software Engineers to hand off validated approaches for productionization
• Stay current on applied research in RAG, agents, LLM evaluation, and relevance modeling; bring innovations into the product

Staff Applied Research Engineer

• Partner with Product, Finance, Accounting, RevOps, and Engineering leadership to shape Drata’s long-term billing architecture and commercial flexibility across self-serve and enterprise motions.
• Help design the primitives of a modern billing platform: usage events, billable metrics, products, rate cards, contracts, credits, subscriptions, overages, and invoice workflows.
• Build on a system that can accurately meter product usage at scale, transform raw events into billable quantities, and support pricing changes without requiring constant product rework.
• Build and evolve the entitlement layer that separates pricing and packaging from product behavior, so feature access, limits, credits, and plan controls are programmable rather than hardcoded.
• Work closely with SFDC admins, CPQ owners, and Finance systems stakeholders to ensure quote-to-cash flows are coherent across CRM, product, billing, ERP, and downstream reporting systems.
• Ensure billing systems are operationally trustworthy: idempotent event handling, strong reconciliation paths, reliable notifications, auditability, and clear observability for engineers and business teams.
• Troubleshoot the hard problems: invoice discrepancies, usage drift, contract edge cases, entitlement bugs, migration failures, and cross-system data mismatches.

Software Engineer, Monetization Platform

• Architects and develops highly scalable web applications
• Builds RESTful APIs
• Builds tools, services, and automation to extend the platform capabilities
• Runs critical operational portions of our ingestion, analytics, and storage infrastructure
• Collaborate with our product managers to define strategic solutions and participate in the agile refinement process
• Assist with server-side code and database architecture on the back-end in NodeJS
• Develop clean UI/UX with the collaboration of our design teams
• Work with management and other architects to ensure quality in solutions and in software design
• Participate in development lifecycle activities like design, coding, testing, and production release
• Write reusable, testable, and efficient code
• Deliver code in an agile team environment
• Research and train on technologies relevant for current or future projects

Senior Software Engineer 2, IAM

• Architect and build platform systems that will allow our application developers to build faster more reliable software
• Builds tools, services, and automation to extend the platform capabilities
• Runs critical operational portions of our ingestion, analytics, and storage infrastructure
• Collaborates with our product managers to define strategic solutions
• Evaluates and improves the performance, durability, and security of applications in production
• Assists with server-side code and database architecture on the back-end in NodeJS
• Work with management to ensure quality in solutions and in software design
• Participate in development lifecycle activities like design, coding, testing, and production release
• Write reusable, testable, and efficient code
• Deliver code in an agile team environment
• Research and train on technologies you think may be appropriate for current or future projects

Senior Platform Engineer, Interoperability

Data Engineer

• Automate first! One of our core company values is automation.
• Help us build data products that will serve analytics needs and engineering services
• Optimize query performance, data ingestion, and processing time
• Contribute to building the data modeling layer
• Build strong data governance processes
• Develop training and documentation for data analysts
• Interview, hire, and train future data engineers
• Administrate data orchestration through modern tools and concepts like ETL and ELT

Senior Data Engineer, Reporting & Analytics

• Architect the internal AI platform, including MCP servers, agent customizations, and integrations
• Design and ship custom agent skills and subagents
• Build end-to-end agentic workflows that automate code generation, verification, and delivery
• Lead the rollout and customization of AI coding tools across the org
• Wire AI into CI/CD: automated PR review, test generation, migration agents
• Build the governance layer: usage telemetry and security policy enforcement
• Measure adoption and impact with engineering productivity frameworks

Senior Platform Engineer 2, AI Tooling

• Design and evaluate information access + reasoning strategies across RAG, agents, and classic ML
• Prototype GenAI workflows that map and reason over compliance objects
• Explore ML + probabilistic approaches where GenAI is not the best fit
• Build and maintain evaluation frameworks
• Implement and tune ranking/reranking systems
• Run experiments to validate hypotheses and quantify improvements before production rollout
• Debug failure modes and build error taxonomies across retrieval, reasoning, and generation
• Collaborate with AI and Software Engineers to hand off validated approaches for productionization
• Stay current on applied research in RAG, agents, LLM evaluation, and relevance modeling

Senior Applied Research Engineer

• Build AI-powered product features end-to-end — React/TypeScript UI through Node.js/Python backend — with real-time streaming, graceful degradation, and human-in-the-loop interaction patterns
• Translate AI capabilities — RAG pipelines, agentic workflows, structured reasoning — into interactions that feel natural to compliance practitioners
• Partner with AI Engineers to define API contracts and output schemas
• Advocate for the user's perspective in technical decisions; surface where model outputs break down in practice and iterate the product layer accordingly
• Build user-facing feedback loops that capture signal on AI output quality and make it actionable for the broader AI team
• Instrument AI features with product-level observability
• Establish reusable patterns (streaming hooks, feedback components, AI state management) that accelerate future AI feature development
• Mentor engineers newer to AI product development

Senior AI Product Engineer, Frameworks

• Build AI-powered product features end-to-end
• Translate AI capabilities into interactions for compliance practitioners
• Partner with AI Engineers to define API contracts and output schemas
• Advocate for the user's perspective in technical decisions
• Build user-facing feedback loops for AI output quality
• Instrument AI features with product-level observability
• Establish reusable patterns for future AI feature development
• Mentor engineers newer to AI product development

Senior AI Product Engineer, Agent Governance

• Own the full-stack development of customer-facing AI features
• Build AI-powered product features end-to-end
• Translate AI capabilities into interactions that feel natural to compliance practitioners
• Advocate for the user's perspective in technical decisions
• Build user-facing feedback loops on AI output quality
• Instrument AI features with product-level observability
• Establish reusable patterns that accelerate future AI feature development
• Mentor engineers newer to AI product development

Senior AI Product Engineer, Evidence

• Build AI-powered product features end-to-end — React/TypeScript UI through Node.js/Python backend
• Translate AI capabilities into interactions that feel natural to compliance practitioners
• Partner with AI Engineers to define API contracts and output schemas
• Advocate for the user's perspective in technical decisions
• Build user-facing feedback loops that capture signal on AI output quality
• Instrument AI features with product-level observability
• Establish reusable patterns that accelerate future AI feature development
• Mentor engineers newer to AI product development

Senior AI Product Engineer 2, Control Remidiation

• Build AI-powered product features end-to-end — React/TypeScript UI through Node.js/Python backend
• Translate AI capabilities into interactions that feel natural to compliance practitioners
• Advocate for the user's perspective in technical decisions
• Build user-facing feedback loops that capture signal on AI output quality
• Instrument AI features with product-level observability
• Establish reusable patterns that accelerate future AI feature development
• Mentor engineers newer to AI product development

Senior AI Product Engineer, Control Monitoring

• Build AI-powered product features end-to-end — React/TypeScript UI through Node.js/Python backend — with real-time streaming, graceful degradation, and human-in-the-loop interaction patterns
• Translate AI capabilities — RAG pipelines, agentic workflows, structured reasoning — into interactions that feel natural to compliance practitioners
• Partner with AI Engineers to define API contracts and output schemas
• Advocate for the user's perspective in technical decisions; surface where model outputs break down in practice and iterate the product layer accordingly
• Build user-facing feedback loops that capture signal on AI output quality and make it actionable for the broader AI team
• Instrument AI features with product-level observability — latency, engagement, task completion, drop-off — alongside integration and end-to-end tests that validate behavior across the full stack
• Establish reusable patterns (streaming hooks, feedback components, AI state management) that accelerate future AI feature development
• Mentor engineers newer to AI product development; participate in design reviews with both engineering depth and product instinct