
Application Engineering Lead
1 week ago
Role & responsibilities
Key Responsibilities:
- Lead and manage the development and implementation of large-scale, complex insurance applications.
- Oversee and coordinate cross-functional teams to ensure successful project delivery.
- Provide technical leadership and mentorship to engineering teams, fostering a culture of innovation and excellence.
- Engage in pre-sales activities, including client presentations, requirement gathering, and solution design.
- Develop and implement accelerators to streamline development processes and enhance productivity.
- Collaborate with stakeholders to define project scope, objectives, and deliverables.
- Ensure adherence to best practices, coding standards, and quality assurance processes.
- Stay current with emerging technologies and industry trends to drive continuous improvement.
Qualifications:
- Bachelor's or masters degree in computer science, Engineering, or a related field.
- 15+ Experience in application engineering.
- Extensive experience in the insurance domain, with a deep understanding of industry-specific challenges and opportunities.
- Proven experience managing large, complex programs across multiple technologies.
- Strong hands-on technical skills, with proficiency in:
- Programming languages: Java, Python, C#, JavaScript, .Net
- Web technologies: HTML5, CSS3, Angular, React
- Databases: SQL Server, Oracle , NoSQL (MongoDB, Cassandra)
- Cloud platforms: AWS, Azure, Google Cloud
- DevOps tools: Jenkins, Docker, Kubernetes..
- Microservices architecture and RESTful APIs
- Enterprise integration patterns and tools (e.g., MuleSoft)
- Security best practices and tools (e.g., OAuth, JWT, SSL/TLS)
- Demonstrated experience in pre-sales activities, including client engagement and solution design.
- Experience in building and implementing accelerators to improve development efficiency.
- Excellent leadership, communication, and interpersonal skills.
- Ability to work effectively in a fast-paced, dynamic environment.
- Experience with Agile and DevSecOps methodologies.
- Experience with container orchestration and serverless architectures.
Preferred candidate profile
- Familiarity with regulatory and compliance requirements in the insurance industry.
- Knowledge of machine learning and AI technologies.
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