At Kshema, we are re-imagining agricultural insurance with the power of Public Cloud, GIS, Remote sensing and cutting-edge AI-based algorithms to assess, model and price insurance risks for farmers adequately. We are taking the latest advances in Mobile, Geospatial technologies and the web to empower the next generation of agricultural insurance. Would you like to be part of a dynamic team using cutting-edge technology to unlock value for our clients Then we would love to get to know you!
Role Overview
As a Principal Member of Technical Staff (PMTS) – Data Solutions, you will be a technical authority and architect driving the design, evolution, and execution of next-generation digital insurance platforms from data perspective. You will solve company-wide, ambiguous, high-impact problems, influence engineering direction across multiple teams, and ensure systems are scalable, secure, resilient, and regulation-ready while enabling rapid innovation.
You will work at the intersection of technology, product, risk, and compliance, shaping platforms that power real-time underwriting, claims automation, fraud detection, and personalized insurance experiences.
What You Will Work On
- Define and own end-to-end architecture for large-scale, cloud-native insurance platforms.
- Drive adoption of modern architectural paradigms:
- Event-driven & streaming architectures
- Microservices & service mesh
- Domain-Driven Design (DDD)
- Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
- Make long-term technology bets aligned with business strategy and regulatory needs.
- Lead exploration and production adoption of emerging technologies, including Real-time data platforms (Kafka, Flink, Spark Streaming)
- Build and maintain data pipelines for ingesting, validating, and harmonizing data from multiple sources.
- Design and implement backend data services, APIs, and microservices to support platform functionality.
- Develop backend components for data processing, transformation, and distribution layers.
- Design relational and dimensional data models to support enterprise-scale data management.
- Build and optimize backend data access layers and query optimization services.
- Architect data distribution mechanisms and backend APIs to support downstream consumption and analytics.
- Identify architectural gaps, data quality issues, and performance bottlenecks; recommend and implement solutions.
- Provide technical leadership and mentorship on data architecture and backend development best practices.
- Contribute to the evolution of Data Warehouse platform capabilities, backend services, and technical roadmap.
- Design systems capable of:
- Handling millions of policies and claims in real time
- Supporting multi-tenant, multi-region deployments
- Meeting strict latency, uptime, and disaster recovery SLAs
- Ensure zero-trust security, data privacy, and compliance with insurance regulations (IRDAI, GDPR, SOC2, ISO).
- Partner closely with Product, Actuarial, Risk, Legal, and Compliance teams.
- Translate complex business and regulatory requirements into elegant technical solutions.
- Act as a technical advisor to senior leadership and executive teams.
- Drive alignment across teams without formal authority.
- Raise the technical bar through mentorship of Lead and senior engineers.
Requirements
What we look for:
- Proven track record of building and shipping high-quality backend API components with a minimum of 12 years of experience in Application Development, with principal-level impact.
- Strong experience in data architecture, data warehousing, and enterprise data platform implementation
- Deep knowledge in selecting, configuring and integrating 3rd party SaaS or COTS solutions as well as coordinating the development of such solutions
- Technical skills include strong Hands-on development on Spring Boot, JPA
- Strong background in data-intensive systems and real-time processing.
- Deep experience with data ingestion patterns, ETL/ELT processes, and data pipeline orchestration
- Proficiency in data modelling (logical, physical, and dimensional) for analytical workloads
- Hands-on experience writing complex SQL and optimizing query performance.
- Experience with security-critical and compliance-heavy domains (fintech, insurance, banking).
- Ability to influence architecture across multiple teams and products.
- Strong SQL skills and experience and experience with relational and non-relational databases e.g. (Postgres/Oracle/Mongo).
- Broad experience in building interfaces between (cloud) solutions (Azure/AWS), API management and development.
- Detailed real-world experience with Scrum or similar agile methodologies
- Hands-on experience with AI/ML or GenAI in production is a plus.
- Experience with the Azure platform is a plus
- Outstanding communication skills and emotional intelligence
You will be a great fit in the team if:
- You've got positive energy. You're optimistic about the future and determined to get there.
- You have a can do attitude.
