Software Engineer

The Software Engineer will engage directly and continuously with cross-functional partners—including Software Engineers, Product Managers, Designers, and Product Owners—to build, validate, and ship software products quickly in a fast-paced and highly collaborative environment.

• Strong hands-on experience in Full Stack development is an added advantage.
• Preferable experience in integrating virtual assistant Commercial Off-The-Shelf (COTS) products and utilizing Google Cloud AI/ML capabilities to build intelligent features.
• Understanding of Microservices, Orchestration Patterns, and virtual agent setups on hybrid or private clouds is good to have.
• Responsible for developing engineering and career growth for software engineers by coaching, mentorship, feedback, and pair programming.
• Collaborate across teams to contribute to the product roadmap and ensure technical alignment.
• Facilitate technical architecture discussions focused on application functionality and integrations.
• Proficient across the full stack of technologies, preferably using React (or React.js) in the front end and Spring Boot on the back end.
• Review ongoing production operations, troubleshoot issues, and incorporate lessons learned through post-incident reviews such as postmortems.
• Actively participate in Agile ceremonies, promoting Agile best practices and culture.
• Bring at least 3 years of software engineering experience.
• Strong knowledge in Java, PCF, Google Cloud Platform (GCP), Spring Boot, and cloud-native application development.
• Adhere to solid Software Craftsmanship practices including Test-Driven Development (TDD), Clean Code, and Refactoring.
• Experienced with DevOps and Security tools such as Jenkins, 42Crunch, SonarQube, Checkmarx, and FOSSA.
• Knowledge of Agile methodologies like Scrum and SAFe Agile.
• Demonstrate strong leadership and communication skills, and a passion for coaching and teaching others.
• Ability to understand and solve business problems through continuous improvement and innovation, leveraging AI where possible.

• Collaborate continuously with Software Engineers, Product Managers, Designers, and Product Owners to build, validate, and release software products early and often.
• Apply Full Stack development skills; prior experience in virtual assistant COTS product integration and Google Cloud AI/ML capabilities preferred.
• Understand Microservices architecture, orchestration patterns, and virtual agent deployment on hybrid or private clouds.
• Develop the engineering skills and career growth of peers by mentoring, coaching, providing feedback, and pair programming.
• Partner with cross-functional teams to contribute to and drive the product roadmap.
• Lead and participate in technical architecture discussions on application functionalities and integrations.
• Work across the technology stack, particularly with React (or React.js) and Spring Boot.
• Review and troubleshoot production software operations, leveraging post-incident reviews to identify improvements.
• Actively engage in Agile ceremonies, championing Agile software processes, culture, and best practices.
• Maintain expertise in Java, PCF, GCP, Spring Boot, and cloud-native applications.
• Consistently apply Software Craftsmanship techniques such as TDD, Clean Code, and Refactoring.
• Utilize DevOps and security tools including Jenkins, 42Crunch, SonarQube, Checkmarx, and FOSSA.
• Work effectively within Agile methodologies (Scrum, SAFe Agile).
• Provide leadership and coaching to peers with excellent communication skills.
• Use a deep understanding of business challenges to guide continuous innovation and improvement, with an emphasis on incorporating AI-driven solutions where relevant.

• Minimum 3 years’ experience in Software Engineering, preferably in eCommerce systems or related integrations involving Full Stack technologies.
• Proven ability to drive delivery through cross-functional alignment.
• Strong expertise in front-end digital technologies such as React (or React.js) or full-stack development with JavaScript and Spring Boot.
• Capable of making data-driven decisions to align engineering efforts with the product roadmap.
• Active participant in engineering team ceremonies to help execute projects within a Mobile platform or similar environments.
• Basic knowledge of cloud services and infrastructure as code is essential.
• Familiarity with Site Reliability Engineering (SRE) practices and tools like Cloud Build and Tekton, with an understanding of observability, traceability, and monitoring.
• Effective team player comfortable working in diverse and multi-stakeholder environments, ideally with experience in a global delivery model.
• Excellent communication skills, able to tailor messaging to different audiences.
• Demonstrated skill in developing highly technical services and capabilities.
• Experience deploying software using source control, change sets, and CI/CD pipelines.
• Strong interest or experience in integrating and working with AI and Machine Learning technologies, especially those available on Google Cloud Platform.
• Knowledge of microservices, orchestration patterns, and virtual agent configurations on hybrid or private cloud platforms is beneficial.