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Remote Java Software Engineer Jobs in St Louis, MO

Booz Allen Hamilton, Inc.

Data Engineer

O Fallon, IL · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0245880 Location: O'Fallon,IL,US Share job via: Share Data Engineer ... C++, Java, or Linux * Experience creating software for retrieving, parsing, and processing ...

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Remote Java Software Engineer information

See St Louis, MO salary details

$25

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How much do remote java software engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for remote java software engineer in St. Louis, MO is $58.75, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $66.39 per hour, depending on experience, location, and employer.

What is a remote Java software engineer?

A Remote Java Software Engineer is a professional who develops, tests, and maintains Java-based applications while working from a remote location. They collaborate with teams using communication and project management tools, ensuring software quality and performance. Responsibilities often include writing clean code, debugging issues, and integrating with databases or third-party services. This role requires proficiency in Java, frameworks like Spring, and familiarity with cloud platforms or CI/CD pipelines. Remote Java engineers must be self-motivated and able to work independently while adhering to project deadlines.

What are the key skills and qualifications needed to thrive as a remote Java software engineer?

To thrive as a Remote Java Software Engineer, you need strong proficiency in Java programming, object-oriented design, and experience with databases, typically supported by a degree in computer science or a related field. Familiarity with tools such as Spring Boot, Git, RESTful APIs, and cloud platforms like AWS or Azure is highly valuable, as are certifications like Oracle Certified Professional Java Programmer (OCPJP). Excellent communication, self-motivation, and time management skills distinguish top candidates in remote environments. These abilities enable engineers to effectively collaborate, meet deadlines, and contribute to high-quality software solutions from any location.

What are the typical challenges faced when working remotely as a Java software engineer?

Remote Java Software Engineers often encounter challenges such as maintaining effective communication with distributed teams, managing their own schedules, and staying motivated without in-person oversight. It’s also common to face technical obstacles related to ensuring code quality and integrating with collaborative tools while working independently. However, most organizations support remote engineers with regular virtual meetings, robust project management systems, and communication platforms like Slack or Microsoft Teams. Those who proactively communicate and plan their tasks often find great success and flexibility in a remote setup.

What are the most commonly searched types of Java Software Engineer jobs in St. Louis, MO?

The most popular types of Java Software Engineer jobs in St. Louis, MO are:

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For Remote Java Software Engineer jobs in St. Louis, MO, the most frequently searched job titles are:

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Remote Java Software Engineer jobs near you

Software Engineer Sr - Fullstack/Vue

Maryland Heights, MO • On-site, Remote

The Timberline Group
See more jobs at The Timberline Groupexternal

Full-time

Re-posted 17 days ago

Job description

US Citizens or GC Holders only
Must be on our W2- no C2C
Local candidates only
Onsite- 2-3 days per week
RESPONSIBILITIES:
Full Stack Development
  • Design and build end-to-end full-stack applications using Node.js on the backend and Vue.js on the frontend, delivering cohesive, production-ready features from database to UI.
  • Develop scalable REST/GraphQL APIs and microservices that integrate with platform technologies such as Apache Solr, MongoDB, PostgreSQL, Oracle, and RabbitMQ deployed on Kubernetes.
  • Build and maintain internal libraries and SDKs that simplify consumption of platform services, and refactor existing applications for efficiency, reliability, and maintainability.
  • Lead architecture decisions for new features, ensuring solutions align with Twelve-Factor App principles and best practices.
AI-Assisted & Agentic Engineering
  • This role requires comfort working alongside AI-powered tools while maintaining strong engineering judgment, validation, and accountability for outcomes.
  • Sr Developers will contribute to the adoption and continuous improvement of AI-enabled workflows by providing feedback, identifying opportunities for automation, and safely incorporating AI assistance into repeatable operational patterns.
  • This includes leveraging approved AI tools and agents to assist with platform operations, troubleshooting, automation, documentation, and workflow efficiency under established governance and best practices.
  • Sr Developers on the INFOPS Application Development team are expected to actively use and support AI-assisted and agentic engineering workflows as part of their day-to-day work.
  • Develop agent-to-agent (A2A) AI workflows or applications.
  • Design, implement, and maintain MCP (Model Context Protocol) servers that expose enterprise data and capabilities to AI agents and LLM-powered workflows.
CI/CD & DevOps
  • Own and evolve CI/CD pipelines using GitHub, Jenkins, and Codefresh, from commit hooks through automated testing and production deployment.
  • Develop and maintain deployment orchestration tools and automation workflows on Kubernetes-based platforms (including OpenShift).
  • Drive DevOps improvements: infrastructure-as-code, automated testing, deployment reliability, and monitoring with Prometheus and Grafana.
  • Participate in on-call rotation, monthly maintenance windows, and platform lifecycle tasks to ensure platform reliability.
Leadership & Collaboration
  • Mentor mid-level and junior developers, conducting code reviews and sharing architectural knowledge to elevate team capability.
  • Work with customers and stakeholders to understand integration needs and translate business requirements into robust engineering solutions.
  • Collaborate with partner engineering teams to drive efficiencies across the organization and contribute to best practices.
  • Maintain strong documentation and actively contribute to team knowledge sharing.
  • Work effectively in a fast-paced environment with shifting priorities, balancing support work, ad hoc requests, and project deliverables.

REQUIRED QUALIFICATIONS:
  • Bachelor's degree in Computer Science, MIS, or related field, or equivalent experience
  • 5+ years of professional development experience with a strong full-stack focus
  • 5+ years of experience with JavaScript and Node.js, building production APIs, services, and microservices
  • 3+ years of experience with Vue.js; component design, state management (Pinia/Vuex), and frontend architecture.
  • Hands-on experience using AI coding tools (Claude, GitHub Copilot, M365 Copilot, Windsurf) in a professional engineering context
  • Experience building or integrating with MCP (Model Context Protocol) servers or similar AI agent integration patterns
  • CI/CD and DevOps experience: pipeline authoring, automated testing, deployment automation (GitHub Actions, Jenkins, Codefresh, or equivalent)
  • Experience with GitHub, Docker, and Kubernetes
  • Experience with Linux/Unix and shell scripting
  • Familiarity with microservices, Twelve-Factor App principles, and cloud-native development
  • Strong test-first mindset with experience in unit, integration, and end-to-end testing
  • Ability to analyze requirements and communicate effectively, both verbally and in writing
  • Team-oriented with strong work ethic, collaboration skills, and the ability to mentor others
  • Strong problem-solving, change management, and technical planning abilities

PREFERRED QUALIFICATIONS:
  • Experience with Java, Grails, Python, or Go
  • Experience with React frontend development
  • Experience with IDP concepts and platforms like Backstage
  • REST API design and implementation, including OpenAPI/Swagger documentation, API gateway and routing patterns
  • Familiarity with secure, minimal containers: Minimus, Docker Hardened Images, etc.
  • Kubernetes-based platforms such as OpenShift
  • Cloud providers, especially Azure
  • Databases: MongoDB, Oracle, PostgreSQL
  • Messaging, search, and caching tools: RabbitMQ, Apache Solr, Redis
  • Containers and automation tools: Docker, Ansible
  • Monitoring tools: Prometheus, Grafana, Splunk
  • Prior experience designing AI-driven internal tooling or copilot integrations

The Timberline Group
Phone: 636-209-5537
PO Box 385, Lebanon, MO 65536
www.timberlinegrp.com
resumes@timberlinegrp.com
"Delivering quality solutions through quality people"

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