Role Description We operate a multi-tenant automotive SaaS platform serving thousands of dealer groups across the United States. Our backend orchestrates everything from dealer onboarding to inventory management to real-time transaction processing. We are building agentic AI systems: autonomous, tool-using agents that observe platform state, reason over dealer context, take action through production APIs, and learn from outcomes. This Principal Engineer owns that entire surface. You are writing agent code, defining tool interfaces, building evaluation harnesses, setting cost and latency budgets, and shipping production AI workflows that touch real dealers and real money. Scope & Scale - 5000+ destination dealer tenants, each with isolated databases and per-tenant configuration. - Billions in annual Gross Merchandise Value (GMV) flowing through platform transactions. - Tens of thousands of API requests per minute across REST, SOAP, and event-driven integration surfaces. - Data pipelines spanning 6 integration domains with multi-protocol vendor connectivity. What You Will Own - Ownership and core development of agentic AI systems — designing, building, and operating the AI agent infrastructure. - AI agent lifecycle end to end — from prompt engineering and tool-use design through guardrails, evaluation, cost optimization, and production observability. - System design and technical decision-making for migration waves. - The dual-write framework, API Gateway traffic-splitting, and per-tenant feature flag rollout. - Cross-cutting concerns: observability, security posture, and data architecture. - Mentoring and force-multiplying senior ICs — establishing patterns, reviewing designs, and raising the technical bar across 5 engineering teams. - Consolidate and strategize 30+ different integrations and make future integrations easier. Technical Environment - Cloud Services: High-availability AWS stack including Lambda, EventBridge, DynamoDB, S3, ECS Fargate, Aurora, API Gateway, CloudWatch, and Secrets Manager. - Development Languages: Modern Python and Java (Spring Boot) alongside TypeScript/React (Next.js 16) frontends, with legacy domain coverage in PHP/Laravel. - AI & Agentic Systems: Advanced agentic workflow orchestration utilizing lean AWS Bedrock AgentCore, MCP servers, or LangChain/LangGraph frameworks. - Data Engineering: Complex data architectures featuring DynamoDB single-table design, MySQL/Aurora, S3 data lakes, Glue Data Catalog, Athena, and Data pipelines. - Infrastructure & Security: Enterprise-grade CI/CD and observability via CloudFormation, Auth0 consolidation, OpenTelemetry, and CircleCI. - Integration Surfaces: Multi-protocol connectivity spanning REST, SOAP/XML, EventBridge event-bus patterns, SES processing, and Playwright browser automation. First 12 Months - Months 1–3: Immerse in the codebase. Audit the current architecture across all stacks. Publish the first Architecture Decision Record (ADR) for the next migration wave. - Months 4–6: Drive the AI/agentic integration layer — Bedrock-powered automation in at least one production workflow. - Months 7–9: Own and deliver the first migration wave end-to-end — from design doc through production cutover with dual-write validation. - Months 10–12: Second migration wave in production. Architecture runway documented for the next 12 months. Qualifications - 8+ years of software engineering experience with at least 3 years in a Staff / Principal / Architect role. - Build Cloud native solutions with emphasis on speed to market. - Deep hands-on experience with AWS serverless and traditional service architectures. - Experience spending 10-20% of your time in mentoring, cross-team alignment and operating mechanisms. - Track record of leading monolith-to-services migrations. - Fluency across multiple languages: PHP, Python, Java, and TypeScript. - Experience with event-driven architectures, configuration-driven workflow engines, and DynamoDB single-table design. - Strong opinions on observability and the discipline to instrument before you migrate. - The ability to write a design doc that a senior IC can implement without ambiguity. Preferred Qualifications - Automotive, fintech, or multi-tenant marketplace platform experience. - Experience with data pipelines or ETL/data lake tooling. - Familiarity with Auth0 Organization model, M2M apps, and Actions for JWT enrichment. - Experience with browser automation in production integration flows. Benefits - Comprehensive medical, dental, and vision benefits. - Employer provided STD/LTD and life insurance. - Matching 401k plan. - Unlimited paid time off, including 10 paid holidays. - Real ownership of a high-stakes AI surface — your roadmap, your architecture decisions, your metrics.

• Lead end-to-end controls design for utility-scale solar, BESS, and hybrid projects – from initiation through commissioning and closeout • Program and commission SEL controllers using AcSELerator; develop control logic in Codesys using IEC 61131-3 structured text • Identify project-specific deviations from standard product scope during contracting, forecast and scope project-specific development work • Implement and validate closed-loop Active Power and Reactive Power, AVR and PFR Algorithms • Maintain version control for all code artifacts according to established version control procedure • Troubleshoot complex SCADA and controls issues using Wireshark, breakpoints, cross-reference, and watch list tools • Produce project deliverables: System Architecture Diagrams, Control Narratives, Logic Diagrams, commissioning documents, and operator manuals • Contribute to new feature development and bug fixes in collaboration with the Product Engineering team • Review documentation prepared by junior controls engineers (technical and non-technical) • Lead the Continuous Improvement and Lessons Learned program, feed field insights back into product standards and templates • Coach junior engineers through FAT preparation and customer-facing presentation • Serve as primary controls technical contact for EPCs, asset owners, and grid operators through project execution, FAT, and commissioning • Lead FATs as formal presentations; communicate to non-technical audiences with supporting materials prepared in advance • Flag technical risks and schedule pressures to management with context and proposed solutions • Maintain Jira tickets daily with thorough detail; enforce Jira best practices with junior engineers • Deliver high-quality work independently across multiple concurrent projects with ownership and urgency • Leverage standardized platforms and tools; avoid project-specific one-off engineering approaches • Ensure 100% adherence to Terabase quality processes; enforce standards with junior engineers • Mentor junior controls engineers through technical guidance, code review, and FAT coaching • Project deliverables completed on time, within scope, and meeting Utility/ISO regulatory standards • Jira, version control, and documentation consistently maintained without follow-up from management • Recognized internally and externally as the go-to technical authority on Terabase SCADA and OT controls • Travel up to 10% for on-site commissioning, FAT, and customer engagements

• Engineer and maintain AWS IAM workloads across multi-account environments • Build, configure and manage IAM roles, policies, and permission boundaries • Design and implement IAM personas for services and applications • Convert and modernize CloudFormation-based IAM roles and policies to Terraform • Engineer IAM workflows supporting identity provisioning, deprovisioning, and access reviews • Integrate AWS IAM with IDC solutions for identity lifecycle management

• Work on solving complex problems and lead smaller projects with less experienced engineers to help develop their skills. • Design and program increasingly advanced building automation systems, site-specific configuration of control system, and control algorithms. • Adhere to project requirements and company and customer standards of design, programming, and implementation. • Create a clear design document for project teams with technical information. • Document and communicate the building automation system design and revisions. • Develop graphical and text-based interfaces for building automation systems. • Test programming and interfaces prior to implantation.