FullStack Developer

Job Description:

We are seeking highly accomplished Full Stack Developers with extensive hands-on experience to lead and deliver modern full stack engineering solutions across web applications, APIs, microservices, cloud platforms, data services, and DevSecOps capabilities.

Key Responsibilities:

• Demonstrate expertise in the end-to-end design, development, testing, deployment, and support of enterprise-grade applications and digital services.
• Provide strong technical proficiency across React, Angular, TypeScript, JavaScript, HTML5, CSS3, Java, Spring Boot, Node.js, REST APIs, and microservices architecture.
• Design, develop, and integrate relational and NoSQL data solutions utilizing technologies such as Oracle, PostgreSQL, SQL Server, MongoDB, and Redis.
• Drive cloud-native engineering initiatives leveraging Azure or AWS, containerization, Kubernetes, event-driven architectures, messaging platforms, and infrastructure automation.
• Establish and promote best practices for CI/CD, automated testing, observability, secure coding, code reviews, and vulnerability remediation in collaboration with DevSecOps and cybersecurity teams

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline; an advanced degree is preferred.
• Minimum of 8 years of software engineering experience, with a strong track record of delivering enterprise-scale full stack applications.
• Deep expertise in front-end frameworks, server-side technologies, API design, microservices, database platforms, distributed systems, and cloud environments.
• Experience with test-driven development, automated testing frameworks, source control systems, build and deployment pipelines, containerization, application monitoring, and site reliability engineering practices.
• Demonstrated ability to design and implement secure applications utilizing authentication, authorization, OAuth 2.0, OpenID Connect, secrets management, encryption, and secure API design patterns.
• Strong understanding of regulatory, risk, cybersecurity, data privacy, accessibility, and compliance requirements applicable to customer-facing and internal banking applications.

Preferred AI & Advanced Engineering Skillset:

• Experience integrating Generative AI and Large Language Models, including Azure OpenAI, GPT, Claude, Gemini, or equivalent enterprise AI platforms, into secure production environments.
• Hands-on experience with Retrieval-Augmented Generation (RAG), vector databases, semantic search, prompt engineering, agentic workflows, model APIs, and AI orchestration frameworks.
• Ability to develop AI-enabled full stack solutions such as copilots, intelligent search platforms, document processing systems, virtual assistants, workflow automation tools, and personalized digital experiences.
• Experience building reusable AI services, UI components, evaluation frameworks, automated test suites, guardrails, telemetry solutions, and human-in-the-loop controls.
• Strong understanding of AI lifecycle management, AI security, data governance, privacy, responsible AI practices, explainability, monitoring, and regulatory compliance.
• Familiarity with performance engineering, distributed caching, event streaming, API gateways, service mesh architectures, feature management, and production support for high-volume platforms.