Experience with cloud platform like AWS / Azure
Experience with implementing and integrating AI, Machine Learning and related data solutions, along with ML OPS is preferred.
Strong understanding of architectural design patterns and computer-science fundamentals
Nice to have knowledge of open-source technologies and impact of build vs buy decisions in the area of data movement, enrichment, workflow, orchestration
Must be able to articulate and/or have experience with integration patterns, data movement and enrichment capabilities.
Must understand enterprise security and privacy requirements associated with the above technologies.
Proven experience collaborating on latest technologies with Engineers and Architects.
Extensive background in working with technical product teams
Proven track record of being results oriented with demonstrated ability to achieve aggressive goals.
Proven communication and facilitation skills.
Experience with Agile software development methodology.
Must excel working in team-oriented roles that rely on ability to collaborate with others
WHAT YOU WILL WORK ON
Lead and grow a high-performing team of Cloud Integration Engineers responsible for building and operating scalable applications and services that support the Finance & Procurement ecosystem.
Own the technical delivery of cloud-native integration solutions, ensuring they are secure, reliable, and aligned with enterprise architecture and platform standards.
Partner closely with Product, Architecture, Security, and Platform teams to translate business needs into well-designed technical solutions.
Provide hands-on technical leadership across the full software development lifecycle, including design, development, testing, deployment, and production support.
Drive adoption of modern cloud engineering practices, including infrastructure as code, CI/CD pipelines, observability, and automated quality and security controls.
Guide the team on integration patterns, data movement, enrichment, orchestration, and workflow design across distributed systems.
Champion architectural best practices and contribute to technology decisions, including build vs. buy evaluations and adoption of open-source or managed cloud services.
Support the implementation and integration of AI/ML-powered solutions and data pipelines, in partnership with platform and data teams, where they add measurable business value.
Foster a collaborative, inclusive, and results-oriented team culture focused on continuous improvement, learning, and rapid delivery.
Mentor and coach engineers, helping them grow their technical depth, leadership capabilities, and career progression.
Ensure solutions meet enterprise security, privacy, and compliance requirements while maintaining high standards for performance and resiliency.
Drive all agile ceremonies, including, stand-ups, sprint planning, sprint refinement
