Software Engineer

Role & responsibilities

Summary of the Role:
Design, build, and operate cloud-native backend services using Java (Spring Boot) and Python on AWS (Lambda, Step Functions). Develop and maintain PostgreSQL data models and modern UI components (Svelte/React/Angular/Vue). Improve CI/CD, observability, automated testing, and operational runbooks. Participate in incident triage, performance tuning, architecture, and specification-driven development while responsibly leveraging enterprise AI-assisted development tools.

Job Responsibilities

• Design, develop, and deliver scalable, resilient backend services using Java (Spring Boot) and Python.
• Build cloud-native components on AWS, leveraging managed services such as AWS Lambda and AWS Step Functions (plus related services such as API Gateway, SQS/SNS, CloudWatch as applicable).
• Design and optimize data models and queries in PostgreSQL, ensuring performance, integrity, and maintainability (schema design, indexing, migrations) and develop and maintain user-facing features using Svelte or another modern UI framework (e.g., React/Angular/Vue), integrating with backend APIs and ensuring a high-quality user experience.
• Collaborate across backend, UI, and product to translate requirements into clear UI behavior, usability, and accessibility considerations, and produce or contribute to architecture and design artifacts; ensure design constraints are met in code.
• Implement and improve CI/CD pipelines and engineering standards (code quality, security scanning, observability, deployment automation).
• Participate in end-to-end delivery, including supporting applications running in production and test environments to ensure stability, performance, and availability, and perform incident triage, troubleshooting, and root-cause analysis across services, workflows, and databases; drive fixes through to resolution and prevent recurrence.
• Improve observability (logs, metrics, traces, dashboards, alerts) and operational runbooks to reduce mean time to detect/restore and improve resilience, and contribute to engineering communities of practice and foster a culture of inclusion, accountability, and continuous learning.
• Demonstrate a learning mindset: ramp up quickly, run pragmatic experiments/spikes, and apply new technologies where they add value and use AI-assisted development techniques (where approved) to accelerate implementation (scaffolding, test creation, refactoring, documentation, troubleshooting) while validating correctness and security.
• Practice specification-driven development: translate requirements into clear technical designs (APIs, workflows, data contracts, UI behavior), define acceptance criteria, and deliver against functional and non-functional needs.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Preferred candidate profile

• Formal training or certification in software engineering and 3+ years applied experience
• Hands-on experience in system design, application development, testing, and operational stability
• Strong proficiency in Java (Spring Boot) and/or Python in production
• Experience delivering on AWS using managed services/serverless patterns (including Lambda and Step Functions)
• Solid experience with relational databases, including PostgreSQL (data modeling, SQL performance tuning, migrations)
• Front-end development experience with modern frameworks (Svelte, React, Angular, Vue) and ability to integrate with backend APIs
• Strong understanding of SDLC and agile delivery practices, CI/CD, automated testing, resiliency, and security fundamentals
• Experience providing production and non-production application support, monitoring, troubleshooting, and incident/problem management
• Hands-on experience using enterprise-authorized AI-assisted software development tools and ability to validate and refine AI outputs
• Understanding of responsible AI use, data sensitivity, and secure handling of inputs/outputs in engineering workflows
• Ability to produce or contribute to architecture and design artifacts and specification-driven development (APIs, workflows, data contracts)
• Experience improving observability (logs, metrics, traces, dashboards, alerts) and operational runbooks
• Demonstrated curiosity, adaptability, and ability to ramp up quickly and try new technologies
• Familiarity with event-driven architecture, workflow orchestration, and distributed system patterns
• Observability and production excellence experience (SLOs, logging/metrics/tracing, alerting)
• Experience with API design (REST) and contract testing
• Background in lending/credit domain
• Knowledge or hands-on experience with Svelte UI development.

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• Familiarity with event-driven architecture, workflow orchestration, and distributed system patterns.
• Observability and production excellence experience (logging/metrics/tracing, alerting, SLOs).
• Experience with API design (REST) and contract testing.
• Background in lending/credit domain (helpful, not required)
• Knowledge in Svelte UI development experience (helpful, not must)