Java Developer with AI
Senior full-stack engineer on a digital banking payments platform that clears 500M+ transactions a year, helping migrate the stack to microservices built with Java, Kotlin, Spring, and React. Day-to-day involves API development, payment rails integration, and use of AI coding tools like Copilot and Codex, on-site in Phoenix, Arizona.
- Compensation
- Not disclosed
- Location
- Phoenix, Arizona, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Bachelor's or master's degree in computer science, computer engineering, software engineering, or other technical discipline, or equivalent work experience
- Push Payments expertise
- 5+ years of software development experience with strong knowledge in Java and REST APIs
- Exposure to alternate JVM languages such as Kotlin or Clojure
- Familiarity with AI models and experience using AI tools such as Copilot and Codex
- Experience writing ADRs (Architecture Decision Records)
- Database experience with MySQL, MongoDB, Redis, Postgres
- Container orchestration experience with Kubernetes, GKE, Docker
- CI/CD experience with Jenkins and SonarQube
- Cloud services experience (BigQuery, Dataflow, Cloud SQL, Cloud Composer, AWS EMR)
- Experience with frameworks Quarkus and Ktor
- Applied statistics skills: distributions, statistical testing, regression analysis
- Creativity and problem-solving skills
- Adaptability and flexibility
- Innovative thinking and startup mindset
Nice to have
- In-depth knowledge of web technologies such as JavaScript, HTML, CSS, TypeScript, SASS, LESS
- Strong proficiency in React tools such as Enzyme, Webpack, Redux, Flux
- Expertise in web frameworks like React Native, AngularJS, Angular2, VueJS, Svelte, Bootstrap
- Working knowledge of software testing tools: Mocha, Jest, TDD, Karma, Selenium
- Familiarity with databases: MySQL, NoSQL (MongoDB), PostgreSQL, Redis
- Strong background in cloud platforms like AWS, Microsoft Azure, and Google Cloud Platform
Full description
Senior Java/Kotlin/AI Software Engineer(Premium) - Digital Banking, Payments
The Payments Platform is responsible for clearing more than 500 million transactions a year globally, with a value of over 1 trillion dollars (Yep! that is not a typo, trillion with a T). This is a mission critical endeavor, with plenty of interesting engineering challenges in a space that is ripe for innovation. Open banking, ISO 20022, real-time/instant payments, and modern cross-border schemes are revolutionizing clearing and settlement. Our Platform is becoming the gateway to existing and emerging global payment rails; and we are using an innovative integration stack to speak the many schemes and formats. Beyond the transactional aspect, our differentiating value is contextual. A rich data backbone and deep integration with enterprise data sources allow us to offer powerful omnichannel APIs and extension points used by developers that build customer facing experiences such as P2P payments, loans, bill-pay, commercial cross border payments, AP automation, and many more.
We are beginning our journey of transforming the technical landscape in our teams to use a microservice architecture and are looking to bolster our technical talent by acquiring full-stack developers, using technologies such as Java, Kotlin, Spring, and React.
Qualifications:
Bachelor's or master's degree in computer science, computer engineering, software engineering, or other technical discipline, or equivalent work experience
Push Payments Expertise
5+ years of software development experience with strong knowledge in Java, Rest APIs, and exposure to alternate JVM languages: Kotlin, Clojure
Technical Skills:
Python, Scala, Node.js, Golang, Java, JavaScript, C++, C#,Kotlin
Familiarity with AI models and experience using AI tools such as Copilot and Codex
Experienced in writing ADRs
Database: MySQL, MongoDB, Redis, Postgres
Search & log: Solr, Fruendt, Prometheus
Container orchestration: Kubernetes, GKE, Docker
CI/CD: Jenkins, SonarQube
Cloud services: Big Query, DataPro, Dataflow, Cloud SQL, Cloud Composer, AWS EMR
Other: Git, Gitflow, Jira, Bitbucket, Gitlab, Trello, Scrum
Frameworks: Quarkus, Ktor
NoSQL databases: MongoDB, Cassandra, HBase, Couchbase
Applied statistics skills: distributions, statistical testing, regression analysis
Creativity & Problem-Solving Skills
Adaptability & Flexibility
Aptitude for technology; curiosity, passion, and startup mindset
Innovative thinking
Other Skills (that will be a plus):