Cloud Solution Architect

Bachelor’s or Master’s degree in Computer Science, engineering, or a related technical discipline.
10+ years of software engineering experience with at least 5 years in an architecture role.
Proven track record designing and architecting cloud native solutions
Strong object-oriented programming skills in Java or C#
Deep understanding of cloud-native design patterns, with the ability to apply patterns to build scalable, maintainable, and secure cloud applications
In-depth knowledge of event-driven architectures and real-time data streaming using tools like Apache Kafka
Experience with Kubernetes with a strong focus on designing scalable, secure, and resilient micro service architectures
Solid understanding of data security principles including encryption, key management, and secure design principles
Deep understanding of identity protocols and cloud authentication flows
Experience designing and implementing CI/CD pipelines that support blue/green deployments, canary releases, and automated rollback strategies.
Strong understanding of application monitoring, observability, and alerting practices to ensure system reliability, performance, and rapid incident response.
Outstanding written and verbal communication skills
Ability to work well with peers in a collaborative team environment.

Lead end-to-end architecture design of an investment management and trading SaaS platform using Microsoft Azure technologies.
Define and enforce architectural standards, best practices, and reusable design patterns.
Collaborate with engineering, product, and security teams
Own the design of robust authentication and authorization frameworks using OAuth2, SAML, OpenID Connect, and SCIM.
Ensure the platform meets enterprise-grade SLAs for performance, security, availability, and compliance (e.g., SOC2, PCI-DSS)
Provide architectural direction across development teams and lead technical design reviews.
Participate in strategic planning, technical roadmap development, and system architecture reviews.
Drive proof-of-concepts and prototyping of innovative solutions and tools.
Lead the modernization of legacy trading systems, migrating from monolithic architectures to modular, cloud-native services that improve scalability, latency, and fault tolerance. Ensure continuity of business logic while modernizing core infrastructure.
Leverage AI and machine learning tools to drive platform innovation, automate operations, and enhance developer productivity.
Identify opportunities to integrate AI-powered insights across the application lifecycle and customer experience.
Stay current with Azure feature updates and industry best practices; evaluate emerging tools for strategic benefit.

No preferred qualifications provided.