What You Will Do:

• Design, develop, and test full0stack components, including enterprise web service APIs, backend services, and user interfaces that consume REST APIs.

• Collaborate with product management to translate requirements into technical designs and provide accurate estimates.

• This role involves building internal and external interfaces using Microservices and automation patterns as part of a complete system modernization.

• Define, implement, and maintain automated unit and integration tests.

• Develop high0quality, production0ready code in short, iterative increments.

• Work closely with engineering, QA and Systems teams to improve and manage the development pipeline.

• The ideal candidate will contribute across the full stack design, development, and testingleveraginga cloud technology platform (GCP or similar) and industry0standard tools, frameworks, and design patterns. In addition, the senior0level role includes mentoring responsibilities, architectural influence, and technical leadership across teams.

• Champion best practices development and cloud automation to continuously enhance development efficiency and reliability.

• Leads cross0functional modernization initiatives, ensuring alignment across multiple teams and driving cohesive technical execution on complex enterprise0wide programs.

• Provide technical leadership across feature teams, guiding architectural decisions and ensuring alignment with cloud0native standards and microservices best practices.

• Mentor junior and mid0level engineers through code reviews, pair programming, and structured knowledge0sharing.

• Participate in solution architecture discussions, contributing to long0term modernization strategy and technology selection.

• Act as a senior technical point0of0contact for cross0functional stakeholders, helping bridge product, engineering, and platform teams.

• Subject matter expert. Demonstrates strategic thinking byanticipatingfuture technical challenges and proactively proposing forward0looking solutions that strengthen organizational readiness.

• Identifysystem bottlenecks, architectural gaps, and improvement opportunities across distributed systems.

• Ability to manage multiple tasks with varying priorities.

• Strong communicationskills across diverse formats.

• Facilitates discussions with stakeholders to ensure alignment onapproaches.

• Adherence to Agile development methodologies.

• Experience leadingmultipleprojects or processes, with minimal guidance.

• Experience with IDEs such as Eclipse, IntelliJ, or VS Code.

• GCP certification or familiarity with Google Cloud Platform.

• Experience with cloud0based AI/ML services (GCP Vertex AI, Gemini Code Assist, AWS SageMaker, or Azure ML) andMLOpspractices (CI/CD for ML, model monitoring).

• Proficiency in Python for developing, training, and deploying machine learning models.