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# Full-Stack Senior Software Engineer

- **Company:** Conga
- **Location:** Sophia, WV, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data Structures, Data Stores, Data Systems, Software Design Patterns, Distributed Systems, Github, Hibernate (Java), Java Database Connectivity, Java Web Services, Junit, Liquibase, MultiDimensional EXpressions, Microsoft SQL Server, Online Analytical Processing, NoSQL, Object-Oriented Software Development, Redis, Dropwizard, Selenium, Software Engineering, SQL Databases, SQL Server Analysis Services, Systems Integration, TypeScript, GitHub Copilot, ReactJS, Spring-boot, Backend, Event Driven Architecture, Solid Principles, Kubernetes, Cassandra, Playwright, Apache Kafka, Front End Software Development, Claude, Cucumber (Software), Docker, Service Stack, Jenkins, Databricks, Microservices
- **Published:** November 13, 2026
- **Apply:** https://job-boards.greenhouse.io/conga/jobs/5292532007

## About the Role

A proven track record…

 * 5+ years of experience developing large-scale, complex applications using Java and modern JavaScript technologies, preferably React and TypeScript
 * Strong Java backend development experience, with a solid understanding of object-oriented design, design patterns, SOLID principles, and microservices architecture.
 * Experience working with large relational or NoSQL data stores.
 * Awareness of algorithmic complexity, Java data structures, and their performance implications.
 * Strong analytical, problem-solving, communication, and collaboration skills.
 * Ability to independently drive well-scoped work to completion while collaborating effectively across application and team boundaries.
 * A proactive mindset and an interest in learning and contributing across the full technology stack.
 * Hands-on experience using AI-assisted development tools such as GitHub Copilot, Claude, or similar, as part of professional software engineering workflows.

Nice to have

 * Experience with analytical data technologies such as SQL Server Analysis Services, OLAP, MDX, or DAX.
 * Experience with distributed systems, event-driven architectures, cloud platforms, or large-scale data processing.

Our technology landscape

 * Backend: Java 21, Spring Boot, Dropwizard, JDBI, Hibernate, Liquibase
 * Frontend: React, TypeScript
 * Data and messaging: Microsoft SQL Server, Kafka, Cassandra, Databricks, Redis, TiDB
 * Analytics: OLAP, MDX, DAX, SQL Server Analysis Services
 * Cloud and deployment: Docker, Kubernetes, Helm, Azure
 * Delivery: GitHub Actions, Azure DevOps, Jenkins
 * Testing: Cucumber, Selenium, Playwright, JUnit

## Description

We're looking for a full-stack senior engineer to build, enhance, and maintain our Price Optimization and Management solutions. The team develops and evolves a family of enterprise pricing products across both monolithic and microservices architectures. You will work across application and service boundaries to drive technical decisions and deliver reliable, production-ready solutions.

What you'll do

 * Contribute to the team's end-to-end ownership of applications, from development through production operation and continuous improvement
 * Design and implement Java services, REST endpoints, business rules, and data-access code for our pricing workflows.
 * Build modern, intuitive, and accessible user experiences with React and TypeScript, integrating seamlessly with backend services and APIs.
 * Design and evolve data solutions across SQL and NoSQL databases, covering data modeling, schema evolution, data-access patterns, performance, and scalability.
 * Participate in technical design and planning by analyzing requirements, assessing complexity, breaking down work, defining technical stories, and contributing to estimates.
 * Build quality in from the start through automated unit, integration, and end-to-end testing.
 * Troubleshoot production incidents, identify root causes, and drive sustainable fixes and preventative improvements.
 * Collaborate with engineers across application, data, and deployment boundaries to deliver cohesive solutions