Role summary
We are looking for an Expert Software Engineer to build and scale core components of our Data Platform using Java, pipeline orchestration, and microservices architecture.
This role focuses on designing systems that capture, refresh, and compare (CCR) data across platforms to ensure consistency, correctness, and traceability. You will build backend services and pipeline frameworks that enable reliable data movement and validation across distributed systems.
You will operate at the intersection of data processing and backend engineering, with a strong emphasis on system reliability, data correctness, and platform scalability
Key responsibilities
- Pipeline & Data Processing Systems
- Microservices & Platform Development
- Containerization & Deployment
- Data Consistency & Reliability
- Performance & Optimization
- Quality & Engineering Excellence
- Collaboration & Ownership
- Continuous Improvement
Required qualifications (Hard requirements)
- 8+ years of software engineering experience
- Strong programming expertise in Java
- Experience building microservices-based architectures
- Hands-on experience with pipeline management / workflow systems
- Experience working with Docker and containerized deployments
- Experience designing and implementing data capture, refresh, and comparison (CCR) systems or similar data validation frameworks
- Strong understanding of:
- Distributed systems and data consistency challenges
- API design and backend service development
- Fault tolerance, retries, and idempotent processing
- Experience with CI/CD pipelines and modern development practices
Preferred qualifications
- Experience with large-scale data systems or data platforms
- Familiarity with event-driven architectures
- Exposure to cloud platforms (Azure/AWS/GCP)
- Experience designing data reconciliation or audit systems
- Understanding of performance tuning for data-intensive services
What success looks like
A successful engineer in this role will:
- Build robust systems that ensure data consistency across platforms
- Deliver scalable pipelines that reliably capture, refresh, and compare data
- Identify and resolve data discrepancies proactively
- Design services that are resilient, observable, and production-ready
- Take ownership of systems that directly impact data trust and platform reliability
Why join us
You will work on foundational problems around data correctness and system reliability, which are critical to financial and healthcare platforms. This role offers the opportunity to shape how data is validated, synchronized, and trusted across the ecosystem using a focused
