This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking an experienced Technical Architect/Lead to join our engineering team and provide strategic technical leadership for our microservices platform. Reporting directly to the CTO, you will be responsible for architectural decisions, technical debt prioritization, and hands-on technical leadership of our development team. This is a critical role for someone who can balance high-level system design with practical implementation guidance. Key Responsibilities - Technical Leadership & Architecture - Drive architectural decisions across all microservices and the entire application ecosystem - Lead technical debt prioritization and modernization initiatives - Break down complex feature development and bug fixes into actionable plans - Mentor and provide hands-on technical guidance to the team of 8-12 developers - Establish and enforce coding standards, best practices, and development processes - Conduct thorough code reviews and ensure quality across all services - System Design & Strategy - Own the technical roadmap and architecture evolution for the platform - Make technology stack decisions and lead modernization efforts - Design scalable solutions for our microservices architecture (Ruby on Rails, Node.js/TypeScript, React) - Ensure system reliability, performance, and security across all services - Lead integration strategies with third-party systems and partners - Partner Customization & Business Logic - Oversee partner customization strategy and custom sagas development - Identify opportunities to consolidate custom sagas into standard workflows - Collaborate with product and business teams on partner-specific requirements - Ensure custom solutions align with overall platform architecture - Team Collaboration - Work closely with QA, Product Management, UI/UX design, and Technical Customer Support functions - Facilitate technical discussions and decision-making processes - Translate business requirements into technical specifications - Foster a culture of continuous learning and technical excellence Qualifications - Experience - 10+ years of software engineering experience - 5+ years in technical architecture or team lead roles - Proven track record leading engineering teams and complex technical projects - Experience with microservices architecture at scale - Technical Skills - Backend : Strong proficiency in Ruby on Rails and Node.js/TypeScript - Frontend : Experience with React, TypeScript, and modern frontend tooling - Databases : PostgreSQL, Redis, and database design/optimization - Infrastructure : Docker, Kubernetes, AWS services, message queues (RabbitMQ) - API Design : RESTful APIs and GraphQL (Apollo Server experience preferred) - Development Tools : Git workflows, CI/CD, monitoring and observability tools - Industry Knowledge - Preferred: Experience in fintech, mortgage, or lending industry - Understanding of regulatory requirements and compliance considerations - Experience with document management and workflow automation systems - Leadership Skills - Strong communication and mentoring abilities - Experience establishing technical standards and processes - Ability to make data-driven technical decisions - Collaborative approach to cross-functional teamwork Benefits - Competitive Salary : $165,000 - $180,000 - Remote : Fully remote position with flexible working arrangements - Growth Opportunity : Join a fast-growing, venture-backed company - Technical Impact : Shape the architecture of a platform serving the mortgage industry - Learning & Development : Work with modern technologies and cutting-edge practices - Comprehensive Benefits : Health, dental, vision, 401k, and equity compensation What You'll Be Working On - Leading technical debt initiatives and platform modernization - Architecting solutions for complex mortgage workflows and partner customizations - Optimizing performance across our microservices ecosystem - Implementing scalable solutions for document processing and data management - Building robust integration patterns with third-party mortgage industry tools

Role Description - Platform Architecture & Technical Leadership - Lead and oversee the end-to-end design of a next‑generation Edge‑AI / IoT platform, defining core architecture, data flows, and interfaces across connected devices, on‑prem, and cloud environments. - Champion adoption of open communication standards and high‑performance computing frameworks across the product ecosystem. - Establish and maintain technical decision records, architecture guidelines, and a long‑term technical roadmap in coordination with product leadership. - Anticipate and mitigate systemic technical challenges such as latency, bandwidth limitations, or data‑model integrity before they affect production systems. - Security & Compliance - Drive architectural decisions to align with advanced security frameworks and industry compliance standards. - Implement zero‑trust principles, secure‑by‑design patterns, robust encryption, and supply chain security practices across all platform layers. - Collaborate with internal stakeholders to prepare documentation, system security materials, and technical evidence supporting compliance and certification efforts. - Engineering Excellence & Team Enablement - Provide technical leadership and mentorship for a globally distributed engineering team; lead design reviews, innovation sprints, and internal knowledge‑sharing sessions. - Define and uphold engineering quality standards — including API design, container orchestration, CI/CD pipelines, observability, and disaster recovery readiness. - Partner with technical leads to convert architectural strategies into clear deliverables while ensuring consistent implementation quality. - Stakeholder & Partner Engagement - Serve as the senior technical representative during solution design and onboarding discussions with enterprise or public‑sector clients. - Participate in technical evaluations, proposals, and architecture presentations, showcasing strong familiarity with secure, large‑scale system deployments. - Cultivate trusted relationships with technology partners and industry bodies within the Edge‑AI and connected‑systems domain. Qualifications - 10+ years of software engineering experience, including at least 4 years in an architecture or principal technical leadership role. - Proven experience designing and scaling distributed systems with real‑time or near‑real‑time processing needs. - Expertise with modern messaging and data streaming protocols (e.g., MQTT, Kafka, AMQP, or similar). - Hands‑on background in AI acceleration frameworks and edge hardware platforms. - Understanding of hierarchical data‑modeling standards for device abstraction. - Familiarity with security control frameworks and experience implementing technical compliance measures in system architectures. - Strong proficiency with containerized, cloud‑native systems (Kubernetes, Helm, service mesh, observability tooling, GitOps). - Excellent written and verbal communication skills for both technical and non‑technical audiences. - Ability to collaborate effectively across globally distributed teams. Requirements - Experience working with regulated industries or compliance programs related to information security. - Exposure to additional edge computing or embedded communication protocols. - Background in sectors such as infrastructure, smart devices, transportation, or related public services. - Contributions to open‑source projects in cloud‑native or edge‑AI technologies. - Knowledge of network virtualization, private networking, or advanced connectivity solutions for distributed systems. - Professional certifications in cloud architecture or enterprise frameworks are a plus. Benefits - A mission‑driven opportunity to shape critical digital infrastructure initiatives with meaningful social and technical impact. - Full ownership of architectural design decisions in a greenfield platform. - Competitive global compensation structure including base pay, equity, and performance incentives. - Fully remote, flexible work culture with periodic on‑site collaboration events. - Access to advanced computing and AI resources for experimentation and R&D. - Dedicated budget for learning, conferences, and industry participation.

Role Description Supply Chain experts who serve as the subject matter expert for Manhattan Associates (MA) Transportation Management System, lead the design, execute supply chain and transportation strategies to enhance planning, optimize dispatch costs, boost business performance in transportation management. - Conduct and lead the design workshops, diligently capture the business requirements, evaluate complex business challenges in the supply chain domain, and create the technology leading solutions. - Works with business and IT stakeholders to develop TMS solution architectures, ensuring alignment with business requirements, processes, and workflows. - Analyze transportation performance and recommend configuration enhancements & process optimizations. - Document business requirements, integration requirements, reporting requirements and use cases. - Lead implementation from initial project conception through final installation. - Design, configure and Implement Manhattan Associates TMS functions. - Consistently determine how to maximize business value and optimize cost from Manhattan Associates TMS. Qualifications - Minimum of 5 years of professional experience working in a Supply Chain Management domain. - Minimum of 3 years of experience with Transportation Management System (TMS) solutions technology and/or implementation experience in Manhattan Associates TMS. - Experience with 1-3 full lifecycle TMS implementations in a complex environment. - Minimum of 3 years of experience conducting the following activities: business requirements gathering, fit-gap analysis, functional design, solution design document creations. - Minimum of 3 years of experience with tactical supply chain planning processes such as carrier capacity planning, transportation planning, network planning, carrier management, fleet management, and driver management. - Experience using analytics and metrics to assess transportation optimization performance, carrier performance, and operational performance to identify and quantify improvement opportunities. Requirements - Discovery & Requirement Gathering: - Conduct stakeholder workshops to understand transportation processes, constraints, and KPIs. - Document business requirements, current-state workflows, and MAT functional gaps. - Solution Design & Configuration: - Translate requirements into MAT solution designs, mapping future-state workflows. - Configure transportation planning, execution rules, rates, routing guides, and optimization parameters. - Integration design: - Coordinate with technical teams to design and validate integrations (APIs, carriers, OMS/WMS). - Go‑Live Support: - Create training materials, SOPs, and user guides. - Finalize cutover plans and validate readiness for deployment. - Participate in the Go‑live and stabilize flows. Benefits - Employee Health: We offer comprehensive health insurance plans for you and your family. - Time Off: We provide generous paid time off (PTO), sick leave, and paid public holidays. - Retirement: A 401(k)-retirement savings plan is available to help you plan for your future. - Professional Growth: We provide a dedicated learning and development budget to support your career growth. - Flexible Work: You'll have flexible work hours and remote work options. - Perks: We offer business and client travel reimbursement, internet and workstation reimbursements, anniversary rewards, and employee stock options (ESOP). - Community engagement: You can participate in team events and in-person organizational meetups.

• Define and own the overall architectural vision across data ingestion, vector retrieval, orchestration, inference, and developer tooling. • Establish engineering standards, design patterns, and best practices for building scalable AI platforms. • Lead architecture discussions and design reviews across engineering teams. • Architect agentic workflows using modern frameworks such as MCP, LangGraph, CrewAI, and related orchestration systems. • Design and optimize retrieval systems, vector knowledge architectures, and multi-tool AI pipelines. • Build scalable frameworks for integrating embeddings, vector databases, and Retrieval-Augmented Generation (RAG) systems. • Lead and mentor engineers across machine learning, AI application development, and full-stack engineering teams. • Provide technical guidance on system scalability, performance optimization, and architecture decisions. • Define best practices for MLOps, observability, monitoring, and cost optimization across AI platforms. • Architect secure, cloud-native deployments across multiple regions using modern infrastructure frameworks. • Ensure systems meet reliability, scalability, and operational standards. • Work closely with product, data, and research teams to convert experimental GenAI concepts into production-ready solutions. • Align architecture decisions with product roadmaps and business goals.