Software Engineer

Work Schedule

Environmental Conditions

Job Description

Responsibilities: 

1) Understand requirements, high-level designs, enterprise domain knowledge, security constraints and operational expectations; use approved AI tools to clarify ambiguity and produce an actionable delivery plan. 

2) Provide and document detailed architecture and function designs covering APIs, data models, transactions, error handling, security, observability and maintainability. 

3) Implement, integrate and troubleshoot backend or full-stack functionality, working with front-end and test engineers and adapting to technologies beyond the traditional Java stack when the product requires it. 

4) Use AI coding agents to accelerate analysis, coding, refactoring, test generation and documentation while retaining engineering ownership through review, verification and traceable decisions. 

5) Create unit, integration, contract, automation and system-test support as appropriate; prepare reliable development and test environments and improve CI/CD feedback loops. 

6) Support production through deployment automation, monitoring, logging, tracing, incident response and root-cause analysis; eliminate repetitive manual work with safe automation and clear runbooks. 

Requirements: 

1) BS or MS in Computer Science, Software Engineering or a related field. 

2) 3+ years of experience developing web applications or comparable backend/full-stack systems. 

3) Strong Java fundamentals with experience in Spring, Spring Boot, ORM/MyBatis or comparable frameworks in other languages like python, TS etc; able to learn and work across languages and technology stacks. 

4) Solid experience designing REST APIs and service integrations, including JSON, versioning, validation, error handling, authentication and authorization; familiarity with event-driven patterns is a plus. 

5) Understands database transactions, data consistency and performance, and can write and review complex SQL; experience with MySQL, PostgreSQL or equivalent databases is a plus. 

6) Familiar with Linux, containers or cloud environments, deployment configuration, CI/CD and operational troubleshooting; experience with infrastructure as code is a plus. 

7) Able to write meaningful unit, integration and API/contract tests across data-access, service and controller layers and use automation to improve regression confidence. 

8) Hands-on experience with approved AI coding assistants or agents; able to curate enterprise context, decompose problems, validate AI output and keep generated code secure, testable and maintainable. 

9) Able to connect product requirements, high-level design, source code, data, security policies and operations knowledge to make pragmatic architecture and implementation decisions. 

10) Understands secure software development, privacy and data protection, secrets management, dependency and license risks, threat-aware API design and common application security principles. 

11) Working knowledge of HTML, CSS and JavaScript sufficient for front-end integration and end-to-end troubleshooting; experience with a modern front-end framework is a plus. 

12) Excellent communication and knowledge-sharing skills; effective working independently and collaboratively with product, scrum, technical leadership, front-end, test and operations teams in an Agile environment.