01Responsibilities
Design, develop, and support enterprise-grade applications using .NET, .NET Core, and Python, ensuring scalability, maintainability, and performance.
Define and implement robust application architecture patterns aligned with business, security, and operational requirements.
Lead the design of modern data architectures, including relational databases, NoSQL/document stores, star schemas, data lakes, and streaming data pipelines.
Translate business and technical requirements into end-to-end solution designs that integrate application, data, and infrastructure components effectively.
Provide guidance on infrastructure topologies for both on-premises and cloud-based environments, including virtual machines, containers, Kubernetes/AKS, and Azure-native services.
Drive adoption of strong SDLC and DevOps practices, including CI/CD, code quality controls, release automation, environment management, and agile delivery methodologies.
Collaborate with cross-functional teams including business stakeholders, architects, developers, data engineers, and operations teams to deliver high-quality technology solutions.
Ensure solutions are designed with appropriate focus on resilience, scalability, security, and operational efficiency.
Troubleshoot complex technical issues across application, data, and infrastructure layers, and provide practical resolution approaches.
Work effectively in high-pressure environments, managing multiple priorities while maintaining delivery quality and timeliness.
Leverage industry knowledge to align technology solutions with insurance domain requirements, processes, and business objectives.
Qualifications: Bachelors degree in Computer Science, Information Technology, Engineering, or a related field.
Strong hands-on experience in application development using .NET, .NET Core, and Python with 6-10 years of industry experience
Deep knowledge of data technologies and architectures, including:
Relational databases
Document-oriented / NoSQL databases
Dimensional modeling / star schemas
Data lakes
Streaming and event-driven data architectures
Strong understanding of infrastructure design and deployment topologies across both on-premises and cloud environments.
Experience working with virtual machines, containerized platforms, Kubernetes/AKS, and Microsoft Azure services.
Sound knowledge of Software Development Life Cycle (SDLC) and modern DevOps practices, including agile delivery, CI/CD pipelines, automated deployments, and version control.
Ability to design and build fast, agile, and robust enterprise solutions with a strong engineering mindset.
Demonstrated ability to work effectively under pressure in demanding delivery environments.
Good understanding of the insurance industry, including domain processes, systems, and business context.
Strong analytical, problem-solving, and communication skills with the ability to engage both technical and business stakeholders.
