Senior Software Engineering Consultant (Java)

Quick Facts

• Role: Senior Software Engineering Consultant (Java)

• Focus: Backend engineering leadership across full-stack applications

Description

Implement applications using 12-factor principles to build products and iterative enhancements. Own full-stack delivery with primary backend development using Java/Spring Boot, APIs, SQL, testing, and CI/CD, plus contributions to containerized deployments on Kubernetes. Optionally support frontend work, primarily with React, and participate in exploring modern AI-assisted development.

Responsibilities

• Design, develop, and maintain Java backend services using Spring Boot (or similar frameworks)

• Build OAuth-backed APIs and services with SQL-based relational data stores

• Apply modern engineering practices to ensure scalability, reliability, and maintainability; write clean, testable, production-ready code

• Troubleshoot and resolve issues across applications, containers, and basic networking layers

• Contribute to CI/CD pipelines and continuous integration/deployment

• Deploy and operate services in containerized environments, including Kubernetes

• Improve observability, resiliency, and operational practices

• Support frontend components when needed (primarily React)

• Collaborate via standups, planning, retrospectives, design discussions, and code reviews

• Explore modern AI system concepts (model orchestration, agent-based workflows, multi-agent patterns)

Requirements

• 3+ years (Senior Consultant II) or 5+ years (Lead Consultant) building Java backend systems

• Proficiency with Spring Boot (or similar Java frameworks)

• Experience building and integrating APIs using OAuth

• Hands-on SQL and relational database knowledge

• Strong automated testing practices and production-ready coding

• CI/CD pipeline experience with continuous integration and deployment

• Containerized deployment support experience, including Kubernetes

• Ability to troubleshoot across applications, containers, and networking layers

• Knowledge of scalability, reliability, resiliency, maintainability, and observability practices

• Effective collaboration and clear communication in technical settings

• Familiarity with modern AI systems and AI-assisted development tools (model orchestration/agents)

• Foundational knowledge of cloud platforms (AWS, GCP, or Azure)

Benefits

• Annual compensation range: $90,700.00–$153,925.00 (based on experience and qualifications)

• Comprehensive technology setup (laptop, monitors, headset, keyboard, mouse)

• If eligible to work from home: monthly connectivity reimbursement

• Remote work requirements: dedicated private workspace and reliable internet (min 50 MB download / 5 MB upload)