Create prototypes and software design proposals that provide short-term business value while aligning with future-state product and architecture vision
Research and break down large initiatives into parallelizable chunks of work that provide incremental business value towards the end feature goal
Champion proposals into production through all phases of the Agile SDLC from design to implementation
Contribute to improving the core product build, CI/CD pipelines, and overall SDLC
Work with senior developers and architects to define and oversee the execution of the product architecture roadmap
Troubleshoot and eliminate persistent root causes for production issues that your product faces
Degree in Computer Science, Software Engineering, or equivalent work experience
Facilitate design discussions within and outside of the squad
Represent the team in technical discussions with Tech Leads, Operations, Product/UX, and external stakeholders
Provide mentorship to the other developers on your team through design reviews, pair programming, and code reviews
Keep technical documentation up to date and create new artifacts when required
Share knowledge on new technologies and industry best practices to build our coding standards
Experience building highly distributed microservice architecture using Java 17/21, Spring Boot 3.x, and Gradle
Strong OOP skills, advocate for code quality, Design Patterns, and SOLID principles
Experience with complex projects in the public cloud (AWS, ideally)
Developing and maintaining CI/CD pipelines with GitHub Actions (or other tool)
Creating and optimizing complex SQL queries, stored procedures, and functions
Strong initiative to improve processes, tools, methodologies, and product quality
Expertise with test-driven development, developing unit tests, integration tests, end-to-end tests
Experience with developing and working with thoughtfully designed HTTP APIs, such as REST or GraphQL
As a member of this team, you are expected to integrate AI-assisted development into your daily workflow. This means using AI tools strategically to accelerate delivery, improve code quality, and solve problems faster, while maintaining strong engineering judgment and accountability for all work that ships.
Proficiently use inline code completion tools in your daily IDE workflow
Use conversational AI assistants for pair programming, design discussion, debugging, and documentation
Critically evaluate all AI-generated output before committing, verify correctness, security, and alignment with team standards
Identify routine or well-scoped tasks as candidates for agentic automation, and propose improvements to your tools/workflows to support this
Build feedback loops: document what worked, what failed, and why, to improve future agent performance and team understanding
Collaborate with your team to design and instrument AI-powered developer tooling; measure its impact on velocity and quality
SPA development using Angular/Typescript
Experience with Serverless Framework
Experience with trunk-based development
Automated testing frameworks such Cypress, RestAssured, JMeter
Knowledge of accounting and auditing concepts
Experience working within a large enterprise Monorepo codebase (NX preferred)
Experience with container technologies, such as Docker. Ideally with container orchestration such as Kubernetes.
Java 17/21 (Spring Boot 3.x)
Microservices hosted on AWS EKS, Lambda Serverless
Orchestration with AWS Step Functions & SNS/SQS
NX monorepos
Storage on AWS Aurora, DynamoDB, MongoDB, S3
Jira to manage our backlog
Our devs prefer to use IntelliJ (IDEA/PyCharm) with Claude Code
We use Microsoft 365 (Outlook, OneDrive, Teams, Word, Excel, etc.) and Slack