Dice is the leading career destination for tech experts at every stage of their careers. Our client, Xoriant Corporation, is seeking the following. Apply via Dice today!
We d love to chat if you have:
5+ years experience designing, developing and supporting scalable payment systems using Java, Spring Boot, AWS cloud services
Expertise in Java, microservices, messaging queues, event streaming, SQL/NoSQL, REST, CI/CD
Design, build and support highly reliable, low latency payment systems and APIs
Implement secure, compliant and fraud-resistant payment solutions
Develop robust integrations with third party payment providers leveraging messaging and events
Build ingestion pipelines, data lakes and AI/ML models for payment analytics
Instrument payment systems for monitoring, logging, tracing and alerting
Diagnose and troubleshoot issues quickly in live production environments
Automate deployment, testing and infrastructure management using IaC tools
Work closely with product and business teams to drive payment innovation
Develop solutions leveraging leading technologies like cloud, containers, Kafka, AI/ML
Take full ownership of critical payment systems and mentor junior engineers
Promote scalability, reliability, security and engineering best practices
Provide technical guidance during design, code reviews and testing
Clearly communicate technical details and tradeoffs to stakeholders
Make critical recommendations influencing payment systems direction
Participate in team meetings and facilitate technical discussions
Required Skills:
5+ years experience designing, developing, and operating distributed systems and microservices leveraging Java, Spring Boot
Bachelor's degree in CS or related field; Master's preferred
Expertise in Java, SQL/NoSQL, REST, messaging, CI/CD pipelines, automated testing
Experience with payment systems, PCI compliance, security, encryption highly preferred
Design, build, and support reliable applications on AWS cloud (EC2, RDS, Lambda, API Gateway)
Implement scalable architectures using containers, Kubernetes.
Monitor, log and alert on application performance using CloudWatch,Datadog
Diagnose and troubleshoot issues efficiently in development and production environments
Hands-on experience developing and monitoring AI/ML models
Identify opportunities to apply AI/ML capabilities to solve problems
Advocate for engineering best practices around development, testing, deployment
Provide technical guidance and mentoring to less experienced engineers
Work cross-functionally with product, design, and leadership teams
Thanks & Regards,
Narendra Kunware
US
