Custom Dev​/DevOps Security Clearance

Education:

Bachelor's degree required Responsibilities

• Design, develop, test, and maintain Java-based applications, delivering high-quality and maintainable code.
• Analyze user and business requirements, translating them into effective technical solutions.
• Collaborate with cross functional teams - including Pega developers, QA, Dev Ops, and product owners, to deliver scalable, high-performing software features.
• Debug, troubleshoot, and optimize applications to ensure system reliability, performance, and maintainability.
• Participate in code reviews, contributing to coding standards, best practices, and architectural discussions.
• Support deployment activities and ensure smooth rollout of new features across environments.
• Work closely with QA teams to validate functionality, reproduce issues, and resolve defects.
• Utilize monitoring and logging tools to detect and address system performance issues or bottlenecks. Required Skills & Experience
• 2+ Years of Professional Experience
• Strong proficiency in Java development, with experience building production-ready applications.
• Experience with Pega or integrating Java applications with Pega-based workflows, services, or APIs.
• Ability to write high-quality, scalable, and maintainable code using industry best practices.
• Familiarity with Git and modern version control workflows (branching, pull requests, peer review).
• Understanding of CI/CD pipelines, automated builds, and Agile development methodologies.
• Ability to work effectively with cross functional partners and communicate technical concepts clearly. Bonus / Preferred Qualifications
• Experience working with Pega PRPC (Pega Rules Process Commander).
• Knowledge of Pega BPM concepts such as case management, rule sets, and workflow design.
• Hands-on experience integrating Pega using REST or SOAP APIs.
• Pega certifications such as CSA or CSSA.
• Prior experience in enterprise-level application development environments.
• Exposure to Dev Ops practices, cloud platforms (AWS, Azure), or containerized environments (Docker, Kubernetes).