Technical Architect

Full Stack Architect We are seeking an experienced Full Stack Architect to design, build, and govern scalable, secure, and high-performance enterprise applications. The role requires strong hands-on expertise across front-end, back-end, microservices, cloud, and DevOps, along with the ability to guide teams and define technical standards.

Key Responsibilities:

Design end-to-end full stack architecture for web and enterprise applications.

Define and implement microservices-based architectures using modern frameworks.

Own application design decisions, including scalability, performance, security, and resilience.

Develop and review backend services and APIs.

Collaborate closely with UI, backend, DevOps, QA, and product teams.

Ensure adherence to coding standards, architectural best practices, and design patterns.

Perform code reviews and mentor senior and junior developers.

Drive cloud adoption, CI/CD pipelines, and DevOps best practices.

Participate in technical discussions with stakeholders and customers.

Skill Requirements:

Backend:

Strong expertise in Java (Core Java, Java 8+)

Frameworks: Spring Boot, Spring MVC, Hibernate

RESTful API design, Microservices architecture

Messaging/Event-driven systems (e.g., Kafka)

Frontend:

Strong knowledge of HTML5, CSS3, JavaScript (ES6+)

Modern frameworks: Angular / React

Experience with responsive UI and reusable component design

Databases:

Relational: Oracle, PostgreSQL, MySQL

NoSQL: MongoDB

Strong SQL and performance tuning skills

Cloud & DevOps:

Cloud platforms: AWS / Azure / GCP

CI/CD tools: Jenkins, Maven

Containerization: Docker, Kubernetes

Monitoring & logging tools (e.g., ELK, Prometheus, Splunk)

Testing & Quality:

Experience with Unit, Integration, and Regression testing

Knowledge of test frameworks (Selenium, Karma, Cucumber)

Exposure to TDD / BDD practices

Other Requirements:

Exposure to API gateways and integration platforms.

Experience with gRPC communication.

Knowledge of application performance monitoring tools (e.g., New Relic).

Domain experience in Banking / Financial Services.

Familiarity with AI/ML integration at an enterprise level.