Position Description:

TOP 3 Must Have :

1. Strong experience as solution architect or enterprise architect

2. The candidate must be a former hands-on developer with at least 5 years experience with programming

3. Strong knowledges on cloud solution (Azure is a plus)

TOP 3 Nice to Have :

1. Experience in implementing, scaling solution and maintaining the solution

2. Exceptional communication skills, with the ability to articulate complex ideas to both technical and non-technical stakeholders.

3. Strong interpersonal and leadership abilities to influence and inspire across organizational boundaries.

Skills Required:

-Bachelor's or Master's degree in computer science, Engineering, or a related field.

-At least 5-6 years of hands-on experience on Java/J2EE or Python, with the ability to dive into the technical weeds and build prototypes or POCs as needed.

-4+ years of experience in technology leadership, with at least 3 years in enterprise architecture roles.

-Deep understanding of enterprise systems, cloud platforms (AWS, Azure, GCP), and modern architectural patterns (microservices, event-driven architecture).

-Strong background in data architecture, including integration, analytics, and governance frameworks.

-Strong Object

-Oriented Programming and Design Pattern concepts with practical experiencing of leveraging the same during development.

-Strong analytical and problem

-solving skills. Candidate should be able to design and then implement solutions.

-Experience in ideating and scaling innovation programs and fostering alignment between IT and business teams.

-Exceptional communication skills, with the ability to articulate complex ideas to both technical and non-technical stakeholders.

-Strong interpersonal and leadership abilities to influence and inspire across organizational boundaries.

Skill Desired:

-Certifications such as TOGAF, SAFe Architect, AWS Certified Solutions Architect, or similar.

-Experience with frameworks like ITIL, COBIT, or Lean Portfolio Management.

-Implementation level knowledge of Artificial Intelligence and Generative Artificial Intelligence

-Strong Database skills including relational and semi structured databases.

-DevOps experience covering CI/CD pipeline management, usage of containers for application deployment, observability tools.