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Key Responsibilities:
• Architect and design complex, scalable workflows and solutions that align with business needs
and technology goals.
• Develop cloud-native architectures, ensuring scalability, performance, and security for enterprise
applications.
• Lead initiatives to improve data interoperability, ensuring seamless integration of systems and
enabling efficient data exchange across diverse platforms.
• Lead the design and implementation of robust APIs, ensuring that they enable effective system
integration, scalability, and data flow.
• Advocate for and implement DevOps best practices, including CI/CD pipelines, infrastructure
automation, and operational excellence.
Good to have:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 10-12 years of experience in software architecture, with expertise in cloud-native architectures
and data integration strategies.
• Strong experience in at least one major cloud platform (e.g., AWS, Azure, Google Cloud) and
multi-cloud strategies.
• Proficient in DevOps tools and practices (e.g., Docker, Kubernetes, Jenkins, Terraform) with a
focus on automation and infrastructure-as-code.
• Experience with AI/ML frameworks and the ability to integrate machine learning solutions into
enterprise architectures.
• Proven experience with data interoperability frameworks and tools, ensuring the seamless flow
of data between different systems.
Job ID: 126948203
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