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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer (SWE), Level 2 [D.26.0244] - **Company:** Dover Networks LLC - **Location:** United States - **Experience:** Experienced - **Salary:** $176,000 - $192,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Spring Security, Amazon Elastic Compute Cloud, Amazon S3, Confluence, JIRA, Build Automation, Automation of Tests, Bash Shell, Big Data, Continuous Integration, Data Transformation, Database Queries, Software Design Patterns, Linux, Elasticsearch, Data Flow Control, Groovy, Junit, Python (Programming Language), Apache Maven, MongoDB, NoSQL, Redis, Ansible, Amazon Simple Notification Service (SNS), Web Application Frameworks, Data Processing, Scripting, ReactJS, Spring-boot, AWS Lambda, Git, Documentation System, Vue.js, Spring Data, Containerization, AI Platforms, AngularJS, Gitlab-ci, Deployment Automation, Apache Nifi, Npm(Software), Api Design, Software Coding, Restful APIs, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines, Docker, Jenkins - **Published:** November 14, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9314808/software-engineer-swe-level-2-d260244 ## About the Role tooling, particularly in ways that help us integrate new data sources more efficiently and deliver faster. This long-running software effort is known for its technical stability, team cohesion, and deep integration into mission-critical systems, offering you the opportunity to make meaningful contributions in a fast-paced, collaborative environment., * Java experience. * Proficiency in at least two of the following: + Modern JavaScript frameworks (VueJS, React, Angular, etc.) + Spring Boot Rest APIs and Spring Libraries (Spring Security, Spring Data, etc.) + Experience with NoSQL databases (e.g., Elasticsearch, MongoDB, Redis, Dgraph, etc.). * Familiarity with Git for version control, and Maven and/or npm for build automation. * Working knowledge developing in a Linux environment. * Demonstrated willingness and ability to learn new tools, technologies, and workflows. * Comfortable using task-tracking and documentation tools like Jira, Confluence, or similar platforms. * Excellent communication and teamwork skills. Nice to Haves: * Dataflow experience (e.g., Apache Nifi or similar tools), including data wrangling (discovery, mining, cleaning, exploration, modeling, structuring, enriching, and validating) * Leveraged AI platforms to assist in hybrid automated/manual data transformation, code development, and schema management. * Experience with AWS services (EC2, S3, SQS, SNS, Lambdas, etc.). * Familiarity with CI/CD tools (e.g., GitLab CI/CD, Jenkins) and automated testing (e.g., JUnit). * Hands-on experience with containerization technologies such as Docker and Kubernetes. * Scripting with Bash, Python, and/or Groovy. * Knowledge of DevOps automation tools such as Ansible, Packer, and Terraform. YOE Requirement: 8 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S. ## Description Description: Join a high-impact, mission-driven team as a Full-Stack Software Engineer, supporting a mature and well-established technical organization. You'll be a member of a small 3-4 person team, which plays a critical role within a broader 20+ person development organization. Together, the team supports a robust web-based platform that integrates diverse publicly available information (PAI) sources into a powerful analytical tool used by hundreds of mission customers. In this role, you'll contribute across the stack, developing ingest pipelines, building scalable REST APIs, and enhancing user-facing visualizations. The platform supports large-scale data ingestion, complex queries, and interactive analysis. You'll collaborate closely with other sub-teams on the project to ensure end-to-end functionality and performance. We're looking for a developer who is excited to contribute to all aspects of this system and who also brings an interest in improving team processes and, * Contribute to the ongoing enhancement of a mature software system through code development, testing, documentation, and Jira task management. * Assist with the design and implementation of new data processing workflows. * Leverage established design patterns and AI platforms to streamline code development, data transformation, and schema management, ensuring the product's long-term scalability and maintainability. * Understand API-driven microservice design patterns, NoSQL databases, dataflow tools (Apache NiFi), and modern web frameworks. * Contribute to all parts of the data processing lifecycle, from collection to processing to storage, and facilitate presentation to analysts in our UI. * Maintain a team player mentality as a collaborative member of a fast-paced, structured team.