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Software Engineer, Backend Developer, Software Architect

Job in Columbia, Boone County, Missouri, 65201, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    Backend Developer, Software Architect, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer
  • Architect and evolve distributed systems with a focus on performance, scalability, and maintainability
  • Lead the strategy and implementation of automation across broad technical areas, integrating work across multiple teams and stakeholders to eliminate manual processes, improve reliability, and establish scalable operational mechanisms with measurable KPI impact aligned to business priorities
  • Drive modernization of legacy platforms by influencing key technical decisions, championing change across dependent teams, and delivering solutions that improve scalability, maintainability, and long-term operational efficiency across multiple departments
  • Lead the development of backend APIs and services that power customer-facing digital platforms
  • Write clean, well-tested, secure code—and guide others to do the same through code reviews and mentorship
  • Build and optimize synchronous and asynchronous integrations (REST, GraphQL, Kafka, messaging queues)
  • Mentor engineers on architectural design, modern development patterns, and industry best practices
  • Evaluate and integrate emerging technologies to improve system capabilities and developer efficiency
  • Collaborate with cross-functional teams to align technical execution with business goals
  • Champion CI/CD, automated testing, observability, and system performance
Requirements
  • Bachelor’s or Master’s in CS, Engineering, or related field (or equivalent experience)
  • 8+ years of experience building enterprise-grade backend platforms and services
  • Deep expertise in Java, Spring Boot, and scalable microservice architectures
  • Experience in generative AI using LLMs, MCP, and/or predictive maintenance
  • Experience with distributed systems, event-driven architecture, and technologies like Apache Kafka
  • Hands‑on experience with containerization (Docker, K8s/AKS) and Microsoft Azure
  • Familiarity with PostgreSQL, Redis, and cloud‑native storage solutions
  • Track record of mentoring engineers and lead
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