Lead Developer - R&D

Must have Skills.

• Bachelor’s degree in science or engineering with 6 to 8 years of software development experience
• A solid foundation in computer science and software engineering principles
• Experience with relational databases (Oracle, SQL Server, DB2, etc.) and /or Big data platforms like Databricks / Hadoop etc.
• Strong understanding of Object-Oriented Programming, Design Patterns and System design fundamentals.
• Experience with Agile development methodologies (specifically scrum); SAFe knowledge/experience is desirable.
• Experience in troubleshooting, fine tuning and identifying the potential bottle necks on the applications.
• Exposure to Security and Compliance:
• Knowledge of security best practices in software development Strong commitment to data protection and privacy compliance
• Knowledge of security best practices in software development
• Strong commitment to data protection and privacy compliance
• Strong orientation towards Performance Optimization: Identifying performance bottlenecks in applications and databases and propose optimizations.
• Identifying performance bottlenecks in applications and databases and propose optimizations.
• Monitoring application and database performance regularly and take necessary actions to improve efficiency.
• Good conceptual, analytical and mathematical skills.
• Proven experience in exploring new technologies to developing and delivering innovative solutions.
• Knowledge of insurance or any other financial domain is desirable.
• High learning capability and ability to perform under pressure.
• Good interpersonal, written, and oral communication skills in English
• Excellent analytical and problem-solving skills
• Passion for process automation and software quality.
• Team player, Independent, out-of-the-box thinker, and self-learner.

Strong experience in designing and developing enterprise applications using relevant technologies.

• Java (J2EE / Java 8+) Java / .Net /Django / Laravel / Rails Frameworks: Spring / Spring Boot / Hibernate Spring Modules: Spring MVC, Spring JDBC, Spring Security JSON, SPML, JavaScript, JQuery, XML/XSL, SPML, HTML5, CSS, EJB, AJAX, Velocity Database: Any RDBMS (Oracle /DB2 /SQL Server) NoSQL Database: MongoDB / Cassandra / Couchbase Big Data & Data Engineering Platforms: Databricks (Spark-based Lakehouse platform), Apache Spark, Kafka IDE: JBoss Developer Studio / IBM Rad / eclipse Application Server – WebLogic / WebSphere / JBoss / Tomcat Frontend: React / Angular / Node.js API: GraphQL Hands on experience on SOAP or RESTful Webservices Certification in Java xx is preferred. Familiarity with Microservices, Event-Driven programming, Kubernetes Experience of SSO, LDAP, Reporting Tools (eg: Jasper Reports, PowerBI, Tableau) Knowledge of software architecture principles and best practices.
• Java (J2EE / Java 8+)
• Java / .Net /Django / Laravel / Rails
• Frameworks: Spring / Spring Boot / Hibernate
• Spring Modules: Spring MVC, Spring JDBC, Spring Security
• JSON, SPML, JavaScript, JQuery, XML/XSL, SPML, HTML5, CSS, EJB, AJAX, Velocity
• Database: Any RDBMS (Oracle /DB2 /SQL Server)
• NoSQL Database: MongoDB / Cassandra / Couchbase
• Big Data & Data Engineering Platforms: Databricks (Spark-based Lakehouse platform), Apache Spark, Kafka
• IDE: JBoss Developer Studio / IBM Rad / eclipse
• Application Server – WebLogic / WebSphere / JBoss / Tomcat
• Frontend: React / Angular / Node.js
• API: GraphQL
• Hands on experience on SOAP or RESTful Webservices
• Certification in Java xx is preferred.
• Familiarity with Microservices, Event-Driven programming, Kubernetes
• Experience of SSO, LDAP, Reporting Tools (eg: Jasper Reports, PowerBI, Tableau)
• Knowledge of software architecture principles and best practices.

AI exposure and Skills

• Handson experience with GitHub Copilot, Copilot CLI, Claude Code, or equivalent AI tools for code generation, refactoring, legacy modernization, test generation, documentation, and design scaffolding
• Practical exposure to agentic AI across the SDLC , including requirement interpretation from Jira stories, design exploration, automated test agents, release/validation agents, and quality gates
• RCA & Production Support : AI-assisted root cause analysis using logs, metrics, and stack traces; defect correlation across code, configuration, and data; fix and prevention recommendations with Human-in-the-Loop (HITL) validation
• Responsible AI: Adherence to data privacy, IP protection, hallucination avoidance, secure-by-design code, governance checkpoints, and compliance with business, regulatory, and architectural standards
• Guide team in adopting AI-assisted development practices.

SaaS exposure and Skills

• Hands-on experience with Cloud Platforms such as: Amazon Web Services, Microsoft Azure, or Google Cloud
• Exposure to containerization (Docker, Kubernetes)
• Experience working with Event-driven systems (Apache Kafka) is desirable
• Experience with CI/CD pipelines and DevOps practices; CI/CD tools: Jenkins / Git / Bitbucket
• Good understanding of multi-tenant SaaS architecture
• Understanding of modern architectural methods and patterns such as Microservice Architecture, Cloud Computing and Containers.
• Understanding of scalability, observability, and system reliability
• Understanding of Security & Identity protocols: OAuth2 / OIDC, SSO, RBAC, tenant isolation is desirable

Sapiens is an equal opportunity employer. We value diversity and strive to create an inclusive work environment that embraces individuals from diverse backgrounds.

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