Sr Java Backend Developer
About The Position
Location: San Jose, CA Hybrid: Hybrid model of 3 days onsite and 2 days remote (onsite Monday, Tuesday and Thursday) MUST HAVE: Backend 5+ years experience designing, developing, and operating distributed systems and microservices leveraging Java Design, build, and support reliable applications on AWS cloud (EC2, RDS, Lambda, API Gateway) NICE TO HAVE: Exposure to payments or fintech environments Experience with payment systems, PCI compliance, security, and encryption Familiarity with GitHub Copilot or similar AI coding tools Master's degree in CS or related field 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
Requirements
- Backend 5+ years experience designing, developing, and operating distributed systems and microservices leveraging Java
- Design, build, and support reliable applications on AWS cloud (EC2, RDS, Lambda, API Gateway)
- 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
- 5+ years experience designing, developing, and operating distributed systems and microservices leveraging Java, Spring Boot
- Bachelor's degree in CS or related field
- Expertise in Java, SQL/NoSQL, REST, messaging, CI/CD pipelines, automated testing
- Experience with payment systems, PCI compliance, security, encryption
- Design, build, and support reliable applications on AWS cloud (EC2, RDS, Lambda, API Gateway)
Nice To Haves
- Exposure to payments or fintech environments
- Experience with payment systems, PCI compliance, security, and encryption
- Familiarity with GitHub Copilot or similar AI coding tools
- Master's degree in CS or related field
Responsibilities
- 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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
