Job Summary

Synechron is seeking a skilled Senior Engineer - Solutions to design, develop, and deliver Service Domains within our Enterprise Banking Backbone (EBB) – Core Acquiring Platform. This role is central to building scalable, secure, and innovative microservices and distributed architectures that support our payment processing ecosystem. The successful candidate will contribute to the modernization of banking solutions by leveraging AI-powered engineering and cutting-edge technologies, ensuring robust service delivery aligned with business objectives.

Software Requirements

Required Skills:

• Proficiency in Java with strong hands-on experience in building and maintaining microservices and distributed systems
• Experience creating and consuming REST APIs with OpenAPI specifications
• SDK development and integration experience
• Expertise in Kafka Streams for data processing in distributed architectures
• Data management skills with both relational and NoSQL databases
• Knowledge and practical experience in AI-powered engineering approaches
• Ability to utilize API Gateway (beneficial but not mandatory)
• Experience working with Cloud platforms (preferably AWS services like EC2, ECS, Lambda, S3, Secrets Manager, KMS, IAM)
• Configuration management using Infrastructure as Code (e.g., CloudFormation, Terraform)
• Version control experience with Git
• Familiarity with SAST/DAST tools and CI/CD pipelines for automated deployment and security testing

Preferred Skills:

• Experience with C# and Python
• Familiarity with container orchestration tools such as ECS or Kubernetes

Overall Responsibilities

• Design, develop, test, and maintain scalable Service Domains within the Core Acquiring Platform, ensuring high performance and security standards
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Create comprehensive API specifications and SDKs for seamless integration and interoperability
• Implement distributed architecture patterns and leverage microservices for system scalability and resilience
• Incorporate AI-powered engineering techniques to optimize system performance and functionality
• Manage cloud infrastructure configurations and deployment pipelines, ensuring automation and consistency
• Conduct performance tuning, security assessments, and troubleshooting to maintain system integrity
• Document design decisions, technical standards, and operational procedures to facilitate team knowledge sharing
• Stay current with emerging technologies and industry best practices to promote innovative solutions

Technical Skills (By Category)

Programming Languages:

• Required: Java (expertise in building enterprise-grade microservices)
• Preferred: Python, C#

Databases/Data Management:

• Relational databases (e.g., PostgreSQL, MySQL)
• NoSQL databases (e.g., MongoDB, Cassandra)

Cloud Technologies:

• Preferred: AWS services including EC2, ECS, Lambda, S3, Secrets Manager, KMS, IAM, CloudFormation
• Knowledge of CloudFormation or similar Infrastructure as Code tools

Frameworks and Libraries:

• Microservices frameworks (e.g., Spring Boot, Quarkus)
• Kafka Streams for real-time data processing
• SDK development tools

Development Tools and Methodologies:

• Version control (Git)
• CI/CD pipelines (Jenkins, GitLab CI/CD, etc.)
• SAST/DAST security testing tools
• Agile development practices

Security Protocols:

• Application and system security best practices, data encryption, API security, and identity/access management

Experience Requirements

• Minimum of 5+ years of professional experience in software engineering, particularly with Java-based microservices architecture
• Proven experience building service domains in large, distributed systems, particularly in financial or banking environments
• Hands-on experience with Kafka Streams and real-time data processing solutions
• Demonstrated capability in designing and implementing REST APIs with OpenAPI specifications
• Experience managing cloud infrastructure with AWS or similar cloud providers
• Familiarity with AI integrations in system architecture is a plus

Preferred:

• Prior involvement in Core Banking, Payment Processing, or similar financial technology sectors
• Experience working with AI-powered tools and frameworks

Day-to-Day Activities

• Develop and deploy new service domains and microservices with clear API interfaces and SDKs
• Collaborate in agile teams during planning, refinement, and sprint execution meetings
• Write and maintain API specifications and documentation for internal and external consumption
• Design distributed systems architecture, ensuring robustness, security, and scalability
• Automate deployment processes using Infrastructure as Code and CI/CD pipelines
• Monitor system performance and troubleshoot operational issues proactively
• Incorporate emerging AI and machine learning techniques to enhance system efficiency
• Conduct code reviews, security assessments, and performance tests
• Participate in technical discussions to influence architecture, technology choices, and best practices

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field; higher degrees or equivalent experience preferred
• Relevant certifications such as AWS Certified Solutions Architect or similar are advantageous
• Continuous learning through technical workshops, courses, or professional development initiatives

Professional Competencies

• Strong analytical and problem-solving skills with attention to detail
• Ability to design scalable, secure, and reliable solutions in complex environments
• Effective stakeholder management and communication skills
• Ability to collaborate with diverse teams and translate technical concepts to non-technical audiences
• Self-motivated, proactive, and able to work independently or in team settings
• Willingness to adapt to evolving technologies and project requirements
• Demonstrate innovation, creativity, and a continuous improvement mindset
• Manage tasks efficiently to meet deadlines without compromising quality