Understands emerging technology trends and disruptions and the practical application of existing, new, and emerging technologies to enable new and evolving business and operating models
Assist with production triage when performance or availability issues arise.
Perform system performance and functional analysis of new advanced architectures in comparison with existing paradigms.
Collaborate with internal engineering teams to optimize and characterize new components, functions, and architectures.
Construct or modify component models and create approximately timed models to analyze performance results and provide guidance on architecture choices.
Collaborate and work with global architecture teams to build Cloud solutions.
Create future architecture by utilizing cloud native Digital stack and Unified data platforms.
Fast pace learner to pick-up business processes, current application landscape and create solution roadmaps
Lead creation and management of Application integration models, GCP infrastructure provisioning and DevOps pipelines
Contribute towards architecture assessments on technical solutions and make recommendations on performance metrics that meet business SLAs and align with architectural governance standards.
Collaborate with teams through the enterprise architecture processes and advise teams on cloud-based design, development, and data mesh architecture.
Provides deliverables from performance perspective like standard definitions, reference models and architecture designs to help the architecture review board (ARB) assess the impact of new and ongoing technology investment on the business and IT estate.
Required Skills and Selection Criteria:
10+ years of relevant work experience in solution architecture, with deep understanding of cloud hosting concepts and implementations.
Experience in converting legacy applications to containerized microservice design applications.
Hands-on performance engineering experience in design for performance
Experience in proactively identifying & resolving performance issues
Conceptual clarity around front-end development / GraphQL / CRM / Data Warehousing / ETL, etc.
Experience in implementing Non-Functional Requirements (NFRs) for cloud-based solutions.
Experience in implementing best practices for cloud-based solutions
Hands on experience in implementing API, Micro-services and application security
Strong exposure working in an environment where Development processes – Agile, SAFe been used.
Should have experience in BFS domain
Strong understanding of microservices architecture.
Google Professional Cloud Architect certification is an advantage.
Excellent communication and collaboration skills
Ability to work independently and as part of a team
Strong problem-solving skills and attention to detail
Nice to Have
Master’s degree in Computer science/engineering, Data science or related field.
Strong communication, interpersonal, organizing, and problem-solving skills
Good presentation skills with ability to communicate architectural proposals to diverse audiences (user groups, stakeholders, and senior management).
Ability to work on multiple tasks in a fast paced & dynamic environment.