Middleware Software Engineer

Sol-Ark is a Veteran‑owned solar and battery‑based technology manufacturer based in Texas. Our mission is to provide the most reliable, innovative, and affordable solar storage solutions to power families and their businesses. Founded in 2013, the company has experienced massive, organic growth due to our equipment being 3× more powerful and capable than best‑in‑class alternatives. It is a fast‑paced, casual work environment where a close‑knit team values merit, character, aptitude, sustainability, and self‑reliance.

This position will be based in our corporate headquarters in Allen, Texas (Dallas‑Fort Worth area). This is not a remote position.

• Candidates must be legally authorized to work in the United States without requiring employer‑sponsored visa sponsorship now or in the future.
• Candidates must have permanent work authorization in the United States. Sol‑Ark does not provide visa sponsorship, including but not limited to F‑1 CPT, F‑1 OPT (including STEM OPT), H‑1B, or any other employment‑based visa requiring future sponsorship.
• Open to C2C.

• Design and develop high‑quality Java custom enterprise software applications in AWS cloud, ensuring adherence to project specifications, timelines, and quality standards.
• Collaborate with cross‑functional teams (hardware engineers, firmware engineers, system architects) to design and develop software systems and interfaces.
• Lead through all phases of the software development lifecycle, including design, implementation, testing, and documentation.
• Develop optimized code for high availability, scalability, and cost containment in cloud systems.
• Debug and troubleshoot software, cloud configurations, and firmware integration issues, utilizing appropriate tools and techniques.
• Conduct code reviews to ensure software quality and maintainability.
• Design and implement software to work with relational and No
  
  SQL databases.
• Manage and run DB SQL dumps, scripts, and help with data mining.
• Develop CI/CD pipelines to build, deploy on‑demand micro‑services and enterprise Java applications and software systems and APIs.
• Work with test automation to maintain CI/CD pipelines for all software projects.

• Experience in Dev Ops, maintaining AWS Infrastructure Storage, Compute & Network.
• Experience in setting up ECS, DB, Java Cloud.
• Experience in deploying customer Java/JEE software using containers (Docker), maintaining multiple environments (integration, QA, production).
• Expertise in designing and developing middleware and backend systems using Java 17+ and Spring IoC Frameworks.
• Expertise in designing and developing micro‑service and event‑driven architectures.
• Expertise in developing MQTT, Kafka Streams, messaging systems, and data streaming solutions for real‑time and near real‑time IoT applications.
• Expertise in relational and No
  
  SQL databases (Mongo
  
  DB, MySQL, Postgres).
• Expertise in designing and developing RESTful web services.
• Experience with lightweight server‑side technologies (Spring Boot, Go, Next.js, Node.js, Scala).
• Familiarity with agile or scrum development methodologies.
• Proficient knowledge of modern software security concepts (TLS 1.2+).
• Working knowledge of Ansible, Terraform, Docker or similar toolsets.
• Dev Ops to deploy front‑end, back‑end components and databases to the AWS cloud.
• Familiarity with code quality tools (Sonar Qube, Coverity, Klocwork, etc.).
• Familiarity with unit testing frameworks for developing bug‑free software applications.
• Familiarity with software configuration management tools and version control systems.
• Self‑starter, able to work independently to deliver against aggressive timelines.
• Excellent communication skills to collaborate with multidisciplinary teams.
• Strong analytical and problem‑solving abilities, with attention to detail.

• Ability to create data lakes, data pipelines, automated reporting using standard data frameworks and toolsets.
• Knowledge in data mining, data analysis and integrating data analysis tools with software applications.
• Knowledge to create AI agents using LLM, natural language processing, machine learning, and/or autonomous decision…