Senior / SME Software Developer – Java / Python

Job Summary

The Senior / SME Software Developer will provide technical leadership, architectural guidance, and hands-on software engineering for complex system modernization and data transformation initiatives. The role focuses on designing and developing scalable backend applications, microservices, APIs, and data processing pipelines using Java and/or Python.

Key Responsibilities

• Architect, design, develop, test, and maintain scalable software applications and microservices.
• Provide technical leadership and subject matter expertise in software architecture and engineering practices.
• Design and implement RESTful APIs, event-driven architectures, and system integrations.
• Develop and optimize data storage, ingestion, transformation, and processing pipelines.
• Work with relational and NoSQL databases, including data modeling and query optimization.
• Design cloud-native solutions using AWS or Azure, Docker, and Kubernetes.
• Apply security, zero-trust, high-availability, and performance engineering practices.
• Establish software development and engineering best practices.
• Participate in code reviews and automated testing.
• Mentor developers and lead technical design sessions.
• Collaborate with stakeholders to translate technical and operational requirements into solutions.
• Support Agile/Scrum development and continuous improvement.

Required Qualifications

• 7+ years of professional software engineering experience for Senior-level positions.
• 10+ years of progressive software engineering and architectural leadership experience for SME-level positions.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Strong production experience with Java and/or Python.
• Experience with Spring Boot, FastAPI, Flask, or similar frameworks.
• Strong knowledge of microservices architecture and enterprise APIs.
• Advanced experience with SQL, relational databases, and NoSQL databases.
• Experience with AWS or Azure cloud environments.
• Experience with Docker and Kubernetes.
• Strong understanding of CI/CD, automated testing, and secure coding practices.
• Experience working in Agile/Scrum environments.
• Active TS/SCI with CI Polygraph clearance.
• Experience with ETL/ELT, distributed computing, Spark, Kafka, AWS Glue, or EMR is preferred.