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Senior Java Software Engineer

Jobs via Dice

San Jose, CA

Full-time

Engineering, Information Technology

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

About the company

Company websiteSoftware Development

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