BackEnd AI Developer with Payments[W2 Role] (Local to San joseSan Francisco, CA]
San Francisco, CA - USA
Job Summary
Bac End AI Developer
Job Title: Software Engineer
Location: San Jose CA
The Card Payment teams are responsible for building enhanced capabilities
for card issuing & processing in the cloud-based Accounts Payables
and Accounts Receivables platforms. Youll be working with peer developers
product managers designers architects and your manager to create new
product capabilities to grow and scale card payments for Bill.
Enable customers to pay & get paid using streamlined card payment options
from rapid to instant payouts across multiple channels. Our spotless & smart
methodologies define solutions for effortless card payment CX. We are
looking for a strong passionate engineer to join us on an exhilarating
journey to clock colossal payment volumes build & ideate towards next-gen
capabilities & invent new revenue streams in the Card Issuing space.
Wed 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
* Bachelors degree in CS or related field; Masters 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
Job Title: Software Engineer
Location: San Jose CA
The Card Payment teams are responsible for building enhanced capabilities
for card issuing & processing in the cloud-based Accounts Payables
and Accounts Receivables platforms. Youll be working with peer developers
product managers designers architects and your manager to create new
product capabilities to grow and scale card payments for Bill.
Enable customers to pay & get paid using streamlined card payment options
from rapid to instant payouts across multiple channels. Our spotless & smart
methodologies define solutions for effortless card payment CX. We are
looking for a strong passionate engineer to join us on an exhilarating
journey to clock colossal payment volumes build & ideate towards next-gen
capabilities & invent new revenue streams in the Card Issuing space.
Wed 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
* Bachelors degree in CS or related field; Masters 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