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Software Architect, Systems Engineer, Data Engineer

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Vendavo Inc
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Systems Engineer, Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: California

We’re a growing team, and as we scale, so does our need to expand our engineering team. You’ll be joining a people-focused company, and as a
Software Architect. This role offers the opportunity to influence, improve architecture and engineering practices, and shape the future of a core Vendavo product while working on both modern technologies and robust services.

THE OPPORTUNITY
  • Architecture & Technical Leadership
  • Define and own the technical roadmap for the platform, aligning architecture decisions with business objectives and product strategy.
  • Design scalable, resilient microservices architectures using event-driven patterns (Event Sourcing, CQRS), message brokers (Kafka, Kinesis, SQS), and Data Mesh principles.
  • Champion event-driven development practices across teams, designing domain events, event schemas, pub/sub topologies, and asynchronous communication patterns for loosely coupled services.
  • Lead the architectural transformation from legacy monolithic systems to modern, event-driven, cloud-native services.
  • Establish and enforce architectural standards, design patterns, coding guidelines, and technology guardrails across engineering teams.
  • Conduct architecture reviews, threat modeling, and technical feasibility assessments for new features and platform initiatives.
Hands-On Development & Design
  • Write production-grade code in Node.js and Python, contributing to critical system components, proof-of-concepts, and performance-sensitive modules.
  • Design and optimize complex ETL pipelines and data workflows involving Amazon Document

    DB (Mongo

    DB-compatible), MySQL on RDS, and other AWS-native data services.
  • Lead database schema design, query optimization, and data migration strategies across MySQL (RDS) and Document

    DB.
  • Architect CI/CD pipelines using Azure Dev Ops, infrastructure-as-code, and deployment automation targeting AWS EKS (Kubernetes) and other managed services.
  • Drive the migration of legacy ETL processes (e.g., Talend) to native Python/Node.js-based data pipelines with improved reliability and maintainability.
Collaboration & Mentorship
  • Partner with the Engineering Manager to translate business requirements into implementable technical designs and sprint-ready work items.
  • Mentor and coach developers and QA engineers across both Scrum teams, raising the technical bar through design reviews, pair programming, and knowledge-sharing sessions.
  • Collaborate cross-functionally with Product, Dev Ops, Security, and other engineering teams to ensure cohesive platform evolution.
  • Drive technical decision-making through RFCs, ADRs (Architecture Decision Records), and collaborative design sessions.
Quality & Security
  • Champion engineering excellence: testability, observability, performance, and security-by-design.
  • Drive adoption of automated testing strategies (unit, integration, contract, and performance testing).Lead security architecture reviews, penetration test remediation, and vulnerability management.
  • Establish SLOs/SLIs and monitoring/alerting strategies to ensure platform reliability.
AI driven development, Good To have
  • Lead the design and integration of Generative AI solutions including LLM-powered copilots (e.g., Claude Code), Retrieval-Augmented Generation (RAG) systems, and Model Context Protocol (MCP)-enabled architectures.
  • Architect scalable and secure GenAI frameworks leveraging Amazon Bedrock, embeddings, vector databases, and advanced prompt orchestration strategies.
  • Establish governance, monitoring, and guardrails to ensure responsible, reliable, and cost-effective deployment of enterprise GenAI capabilities.
THE SKILL SET
  • 12 + years of professional software engineering experience with at least 3–4 years in an architect or senior technical leadership role.
  • Deep expertise in Node.js with hands‑on experience building enterprise‑grade backend services and APIs.
  • Strong proficiency in Python for data engineering, ETL pipelines, scripting, and automation.
  • Solid experience with Amazon Document

    DB (or Mongo

    DB) and MySQL on AWS RDS, including schema design, indexing, and query optimization.
  • Demonstrated experience designing and implementing microservices architectures, RESTful APIs, and event‑driven systems.
THE BENEFITS
  • Pr…
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