Lead 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:

• 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:

o Knowledge of security best practices in software development

o Strong commitment to data protection and privacy compliance

Strong orientation towards Performance Optimization:

o 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. (Edit below as needed)

o Java (J2EE / Java 8+)

o Java / .Net /Django / Laravel / Rails

o Frameworks: Spring / Spring Boot / Hibernate

o Spring Modules: Spring MVC, Spring JDBC, Spring Security

o JSON, SPML, JavaScript, JQuery, XML/XSL, SPML, HTML5, CSS, EJB, AJAX, Velocity

o Database: Any RDBMS (Oracle /DB2 /SQL Server)

o NoSQL Database: MongoDB / Cassandra / Couchbase

o Big Data & Data Engineering Platforms: Databricks (Spark-based Lakehouse platform), Apache Spark, Kafka

o IDE: JBoss Developer Studio / IBM Rad / eclipse

o Application Server – WebLogic / WebSphere / JBoss / Tomcat

o Frontend: React / Angular / Node.js

o API: GraphQL

o Hands on experience on SOAP or RESTful Webservices

o Certification in Java xx is preferred.

o Familiarity with Microservices, Event-Driven programming, Kubernetes

o Experience of SSO, LDAP, Reporting Tools (eg: Jasper Reports, PowerBI, Tableau)

o 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