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Tier-1 bank, mid-level generalist fullstack role, metro location, and broad tech requirements increase competition.
Strong fintech preference and specialized AI/cloud/backend stack mean moderately high domain sensitivity but transferable skills exist.
Explicit 5-8 years, 6+ Java requirement, extensive mandatory tech and AI experience make screening highly strict.
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Participate in feasibility studies, system design, development, testing, implementation, and user support for new or revised application systems.
Provide specialist applications development expertise to analyze complex problems, recommend solutions, and implement security measures post-deployment.
Advise, coach junior analysts, manage project delivery phases, and ensure compliance with company policies and regulations.
5-8 years of relevant experience in systems analysis and programming, preferably in financial services or complex/global environments.
Strong technical expertise in full-stack development: React.js, Base UI, Java (Core Java, J2EE, Spring Boot), Python (FastAPI, Django), REST/SOAP web services, microservices, and SOA.
Hands-on experience with Generative AI, CI/CD pipelines, containerization (Docker, Kubernetes), cloud platforms (Azure, AWS), search/caching tech (Redis, Solr, Elasticsearch), and databases (PostgreSQL, MongoDB, HBase, Cassandra).
Bachelor’s degree or equivalent experience. Work Experience Required: 5-8 years. Notice period: Not explicitly mentioned in the JD.
Experienced full-stack engineer with demonstrated ability leading and mentoring engineering teams in large, complex technology projects.
Proven track record in managing end-to-end delivery under pressure and in matrixed environments with multiple stakeholders.
Strong technical problem solver with expertise in integrating AI solutions and modern deployment/infrastructure technologies within financial services or similar sectors.