Principal Software Engineer

Requirements:
MS/MTech, BE/BTech in computer science or related fields.
Excellent programming skills with 10+ years of professional experience in Java development.
5+ years of experience as an architect or in leading software development teams.
High ethical standards, mutual respect, and the ability to work across global teams.
Proven ability to architect stable, fault-tolerant, high-performance, well-instrumented, compliant, and 'Always'
On systems in high-transactional global distributed environments.
Exposure to design patterns, software architecture best practices, Agile SDLC, build and deployment tools, and CI/CD practices.
Good understanding of non-functional requirements.
Excellent knowledge of software and application design, solutioning, and architecture.
Exceptional hands-on skills in Java, J2EE, Spring, Spring Boot, RDBMS, NoSQL, and OOAD.
Proficiency with SOAP, REST, RESTful, JSON-RPC, JMS, SOA/EDA, and microservices architecture; client-server and distributed systems; and enterprise integration methodology and standards.
Practical knowledge of cloud technologies (GCP is a plus) and application containerisation.
Proven analytical and problem-solving skills in architecture and design.
Experience with SaaS, PaaS, IaaS, and cloud migration strategy.
Understanding of web/application servers like Tomcat.
Familiarity with integration frameworks.
Knowledge of rule engines like Drools.
Experience in JVM monitoring, diagnostics, and tuning.
Proficiency in Test-Driven Development.
Experience in networking, system monitoring, and problem diagnostics.
Knowledge of command-line tools and scripting (bash, Python, or others).
Understanding of presentation technologies (HTML, JavaScript, jQuery).
Proficient in presentation and distributed cache technologies.
Solid understanding of data engineering and related technologies.
Excellent communication skills for seamless collaboration with stakeholders, extended teams, and customers.
Capable of clearly articulating technical concepts and analysis implications to a diverse audience.
Highly motivated team player with a deep understanding of business needs.
Strong intermediary between business and technical staff.
Committed to continuous development and learning.
Knowledge of the payment domain is a plus - hands-on experience with AI technologies and MCP servers.
Strong understanding of AI concepts, machine learning techniques, and model lifecycle management.
Proficiency in Python, AI libraries, and cloud-based AI services.
Experience in designing and implementing MCP servers, including setup, tuning, and troubleshooting.

Experience
10-14 yrs