Senior Python Software Engineer (Java)

About the role

In this role, you will contribute to the modernization and evolution of business-critical systems, helping to shape scalable and sustainable technology solutions that support long-term organizational goals. Working closely with technical stakeholders, you will transform legacy workflows and data models into cloud-native solutions while supporting knowledge retention, service continuity, and long-term sustainability.

Responsibilities

• Design, develop, and maintain senior-level Python solutions, including REST APIs and integrations with automated workflows
• Modernize complex workflows and data structures to improve long-term system sustainability
• Collaborate with technical stakeholders to support modernization initiatives and ensure seamless integration with existing systems
• Develop and integrate solutions using relational databases, particularly DB2 and SQL, following established database integration patterns
• Deliver enterprise-grade applications using modern cloud and container technologies
• Contribute to the analysis and maintenance of legacy implementations using Java, KornShell, and, where applicable, Cobol
• Implement capabilities for test data preparation, data masking, synthetic data generation, and related data engineering activities
• Document technical decisions, implementation details, and operational procedures to support knowledge sharing and service continuity

Requirements

• Extensive experience developing enterprise applications using Python development, including REST API development and workflow integration
• Strong experience with relational databases, particularly DB2, SQL, and database integration patterns
• Proven experience with cloud-native development, containerized deployments, and production-grade services
• Practical knowledge of Java and KornShell; knowledge of Cobol is considered an advantage
• Demonstrated skills to analyze and modernize legacy systems, workflows, and data structures
• Hands-on experience implementing data engineering solutions, including test data preparation, data masking, or synthetic data generation
• Proficiency in producing clear technical documentation covering design decisions, implementation details, and operational procedures
• Effective organizational and communication skills
• Mastery in supporting capacity planning, effort estimation, onboarding, knowledge retention, and continuity of service while adapting to changing workloads and delivery priorities

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.