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Job Description

Description :



- Lead technology modernization and transformation initiatives, evolving legacy systems into scalable, cloud-native architectures.



- Break down complex projects into manageable tasks, upholding high standards in software design, especially for Java-based backends and API-driven services.



- Define project scopes and influence product and engineering direction with a strong focus on modern backend architecture and MACH principles.



- Optimize performance, code quality, and system uptime; enhance visibility through key engineering metrics.



- Champion new Ways of Working (WoW) across engineering teams to foster agility, innovation, and delivery excellence.



- Collaborate cross-functionally to align engineering execution with business priorities and resolve organizational challenges.



- Mentor engineers and drive knowledge-sharing on MACH architecture, cloud platforms, and service-oriented patterns.



- Recruit top engineering talent and promote the companys tech brand through open-source contributions, tech talks, and community engagement.



Leadership :



- Set a clear vision aligned with business and product strategy, driving technical direction through transformational leadership.



- Build and scale high-performance teams with a culture rooted in trust, innovation, and continuous learning.



- Recognize and reward excellence; support growth and career development through mentoring and coaching in a collaborative, Agile environment.



Qualifications :



Expertise Required :


- Java programming and scalable backend development.



- API-first design, REST/GraphQL services, and third-party integrations.



- Strong experience with MACH architecture : Microservices, API-first, Cloud-native, Headless systems.



- Proven success in technology modernization and transformation projects.



- Agile Development and Software Development Lifecycle (SDLC).



- Continuous Integration/Deployment, Cloud Platforms (AWS/GCP/Azure), and DevOps culture.



- Secure Web Development, AI/Machine Learning, and Microservices/SOA.



- Change Management, Technology Governance, and Engineering Metrics.


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