Senior Java Developer

Lead Developer - Job Description

As a Lead Developer at Sapiens, you will be an active and productive member of an Agile/Scrum team participating in technical design, development or maintenance of our software products.

You will be involved in technical design, coding, testing/debugging, and documentation activities, while leveraging cloud-native architectures, AI-assisted development practices, and SaaS principles to drive scalable and high-quality solutions. In addition, you will lead a small team, fostering technical excellence, continuous learning, and contributing to the overall success of Sapiens.

Roles & Responsibilities:

• Analyse provided requirement specifications and understand the technical and functional context, carry out feasibility analysis and effort estimations
• Develop and unit test user stories while adhering to defined coding standards and other quality standards.
• Participate in code reviews and design discussions.
• Prepare and maintain technical documentation.
• Analyse and resolve application defects.
• Developing use cases and design alternatives in accordance with business requirements
• Active participation and contribution in development process and scrum team ceremonies
• Provide technical leadership and mentoring to junior developers.
• Conduct code reviews and guide the team members to maintain code quality
• Lead a small team of 2-3 people and own technical deliverables
• Help in recruitment, assimilate necessary technical knowledge and share with team to meet organizational goals.
• Focus on learning technology, product and Insurance domain while performing above roles and responsibilities!
• Apply AI-assisted coding tools (Copilot, code analysers, refactoring assistants) to generate code (eg., Java, SQL etc.), improve code quality, reduce defects, and accelerate delivery in Sapiens products.
• Leverage AI models to interpret requirements, generate test cases, create documentation, and detect anomalies or optimization opportunities across the system
• Continuously explore and adopt emerging AI/automation practices relevant to Sapiens architecture, ensuring reuse and standardization across teams.

Required Qualifications and Skills:

• Bachelors 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
• Strong orientation towards Performance Optimization:
• 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.

Technology Skills:

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.

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