Our Client, an IT Services and Consultant company, is looking for a Senior Microservices Developer / Lead – Java, Python & GenAI for their Plano, TX,/Hybrid location.
Responsibilities:
Develop and support Java & Python microservices for enterprise applications.
Design robust distributed application architectures using Python, core Java, and microservices that deliver scalable and maintainable enterprise solutions for complex business needs and must have worked using GenAI tools.
Define high level and detailed technical blueprints that translate business requirements into clear implementation patterns, ensuring reusability, modularity, and long term adaptability.
Evaluate existing systems and services to identify architectural gaps, technical debt, and opportunities for modernization, proposing practical migration strategies that minimize risk and downtime.
Guide end to end solution design covering application, data, integration, and security layers to ensure consistent standards, compatibility, and compliance across the technology landscape.
Collaborate with product and engineering teams to shape technical features and APIs, ensuring microservices interact efficiently and support future enhancements without fragile dependencies.
Establish coding practices and architectural guardrails for Python and core Java services, promoting clean code, performance optimization, and reliable error handling for production robustness.
Review design documents, sequence diagrams, and interface contracts to validate that microservices follow agreed principles and support smooth deployment into hybrid environments.
Conduct technical assessments of new tools, frameworks, and cloud native patterns that can strengthen microservices resilience, scalability, and observability while optimizing cost and resource usage.
Mentor senior developers on architectural patterns such as domain driven design, event based communication, and service decomposition, helping teams deliver solutions aligned with enterprise direction.
Partner with stakeholders to incorporate pricing optimization concepts into solution design where relevant, enabling data driven decision flows that improve margins and customer satisfaction.
Ensure non functional requirements such as performance, security, reliability, and maintainability are built into architectural decisions, using benchmarks and design reviews to validate outcomes.
Document architectural decisions, integration approaches, and service boundaries clearly so that distributed teams can implement and maintain solutions consistently in a hybrid work model.
Coordinate with operations and platform teams to ensure architectures support efficient monitoring, incident response, and continuous improvement for day shift delivery and support.
Requirements:
Preferred certifications include AWS Certified Solutions Architect or equivalent cloud architecture certification relevant to microservices based solutions.
Must have worked on the projects using GenAI based projects and have AI based skills.