Software Engineer #1061150
Job Description:
Employees in this job function are responsible for designing, developing, testing and maintaining software applications and products to meet customer needs. They are involved in the entire software development lifecycle including designing software architecture, writing code, testing for quality and deploying the software to meet customer requirements. Full-stack software engineering roles, who can develop all components of software including user interface and server side also fall within this job function.
Key Responsibilities:

• Engage with customers to deeply understand their use-cases, pain points, and requirements, showcasing empathy and advocating for user-centric software solutions
• Solve complex problems by designing, developing, and delivering using various tools, languages, frameworks, methodologies (like agile) and technologies
• Assess the requirements of the software application or service and determine the most suitable technology stack, integration method, deployment strategy, etc.
• Create high-level software architecture designs that outline the overall structure, components, and interfaces of the application
• Collaborate with cross functional teams like product owners, designers, architects etc.
• Define and implement software test strategy, guidelines, policies and processes in line with organization vision, industry regulations and market best practices.
• Work on continuously improving performance and optimizing the application and implement new technologies to maximize development efficiency
• Familiar with programming practices, such as test-driven development, continuous integration, and continuous delivery
• Support security practices to safeguard user data including encryption and anonymization.
• Create user-friendly and interactive interfaces
• Develop and maintain back-end applications like APIs and microservices using server-side languages
• Evaluate and incorporate emerging technologies and capabilities to deliver their solutions, and are monitoring and participating in solutions for new stack layers, often involving industry collaboration

Skills Required:

• Spring Boot
• PostgreSQL
• GCP
• Java

Skills Preferred:

• Dynatrace
• TDD
• GenAI

Experience Required:

• Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.
• 6+ years in IT;
• 4+ years in development

Experience Preferred:

• Strong knowledge of Software Craftsmanship practices including TDD, Clean Code, Refactoring, etc.
• 5+ years of professional software development
• experience using Java, Spring Boot, and Microservices
• At least 2+ years of experience in Google Cloud Platform
• Proven experience applying AI-assisted and agentic AI software engineering practices to accelerate code generation, improve code review quality, and automate development workflows
• Familiarity with spec-driven development practices and the ability to translate requirements into structured, AI-assisted implementation plans
• Solid understanding of secure coding, software design, and engineering best practices, with the ability to critically assess AI-generated code for correctness, security, and maintainability
• Have used continuous integration/continuous delivery tools and pipelines (e.g., Tekton, Cloud Build, Gradle, Kubernetes etc.)
• Alerting and Monitoring experience with Cloud Monitoring/Dynatrace/Splunk etc.
• Unit testing and Mocking frameworks experience
• Relational and NoSQL database experience
• Proficiency with RESTful API standards/tools
• Iterative development (Agile methodology) experience
• Experience working with DevOps/Security tools like GitHub, Cloud Build, Tekton, 42Crunch, FOSSA, SonarQube, Cycode etc.
• Knowledge of working with Agile software methodologies i.e. Scrum, eXtreme Programming, etc.
• Ability to collaborate well with product managers, designers, and business partners.

Education Required:

• Bachelor's Degree

Additional Info:

• Developing exceptional user experiences with backend APIs using frameworks such as Spring Boot and Microservices
• Apply AI-assisted and agentic AI tools to accelerate code generation, improve code review quality, automate development workflows, and support spec-driven development
• Continuously identify opportunities to enhance engineering productivity through the responsible adoption of AI-driven software engineering practices
• Ensure all AI-assisted contributions result in secure, reliable, and maintainable solutions consistent with team and organizational engineering standards
• Validate and release¿applications using¿continuous¿integration¿and¿continuous¿delivery tools
• Work in collaborative environment including pairing and mobbing with other cross-functional engineers
• Work on a small¿agile team¿to deliver working, tested software
• Work effectively with¿technical product manager, product owners, product designers, and¿other technical experts
• Work on a team focused on delivering Available, Testable, and Portable solutions using Domain Driven Design, CQRS, Hexagonal Architecture, and Event Driven Architecture