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 .

Technical Skills (Mandatory)

Strong expertise in

Java (Core Java, Java 8+)

Frameworks:

Spring Boot, Spring MVC, Hibernate

Frontend

Modern frameworks:

Angular / React

Experience with responsive UI and reusable component design

Databases

NoSQL:

MongoDB

Strong SQL and performance tuning skills

CI/CD tools:

Jenkins, Maven

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

Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field.

18 Yrs

of overall IT experience.

Strong problem‑solving, communication, and stakeholder management skills.

Nice to Have

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.

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