AWS cloud Architect (Remote)

Job Title: AWS cloud Architect

Remote

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Role Overview:

• The Technology Architect Solutions & Platforms will be responsible for designing and delivering scalable, secure, and high-performance technical solutions that enable AI-driven and digital transformation across Evernorth. This role requires deep expertise in cloud architecture, enterprise systems design, and modern development practices, with a focus on enabling innovation and operational efficiency.

Top skills will be:

• Stakeholder management
• Team leadership
• Enterprise architecture
• Working knowledge of GenAI platform design with RAG patterns

Key Responsibilities:

Solution Architecture:

• Design end-to-end technical solutions that align with business and digital transformation goals.
• Translate functional requirements into scalable and maintainable architectures.

Cloud & Platform Engineering:

• Architect cloud-native solutions using platforms such as AWS, Azure, or Google Cloud Platform.
• Define infrastructure-as-code and CI/CD pipelines to support agile delivery.

Enterprise Systems Design:

• Lead hands-on design and development of enterprise-grade systems and platforms.
• Ensure systems are resilient, secure, and optimized for performance and cost.

Microservices & DevOps:

• Implement microservices-based architectures and containerization strategies.
• Promote DevOps practices including automation, monitoring, and continuous integration.

Collaboration & Leadership:

• Work closely with product managers, data scientists, and engineering teams to ensure architectural alignment.
• Provide technical guidance and mentorship to development teams.

Mandatory Skills & Qualifications:

• Proven experience in solution and cloud architecture, including multi-tier and distributed systems.
• Hands-on expertise in designing enterprise-grade systems with high availability and scalability.
• Strong knowledge of microservices architecture and DevOps practices (CI/CD, container orchestration, etc.).

Preferred Qualifications:

• Familiarity with healthcare application ecosystems, including interoperability and compliance standards.
• Understanding of AI/ML model infrastructure, including deployment, monitoring, and lifecycle management.
• Bachelor s or Master s degree in Computer Science, Engineering, or related field.
• Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure Architect Expert).

Personal Attributes:

• Technically curious and passionate about innovation.
• Strong communicator and collaborator across technical and business teams.
• Detail-oriented with a strategic mindset.