Design and implement pipeline management systems for data capture, refresh, and comparison workflows
Build scalable mechanisms to capture data from multiple sources, process updates, and maintain synchronization
Develop efficient data refresh strategies ensuring consistency and minimal latency
Implement data comparison (CCR) frameworks to detect mismatches, anomalies, and drift across systems
Microservices & Platform Development
Design and develop Java-based microservices supporting data pipelines and CCR workflows
Build RESTful APIs to trigger, monitor, and manage pipeline executions
Ensure services are scalable, resilient, and fault-tolerant
Apply domain-driven design (DDD) principles where applicable
Containerization & Deployment
Develop and deploy services using Docker-based containerization
Ensure consistency across environments through containerized builds and deployments
Support integration with orchestration environments where applicable
Data Consistency & Reliability
Build systems that ensure data integrity across distributed services
Design mechanisms for idempotency, retry handling, and failure recovery
Identify and resolve data discrepancies through automated comparison frameworks
Performance & Optimization
Optimize pipelines and services for throughput, latency, and resource efficiency
Troubleshoot bottlenecks in data movement and comparison processes
Ensure systems scale effectively with increasing data volume and complexity
Quality & Engineering Excellence
Write clean, maintainable, and testable code following engineering best practices
Implement unit, integration, and system-level tests
Participate in code reviews and design discussions
Contribute to CI/CD pipelines for automated build and deployment
Collaboration & Ownership
Work closely with product, engineering, and data teams to understand data consistency requirements
Take end-to-end ownership of features from design to production support
Communicate progress, risks, and technical decisions clearly
Continuous Improvement
Identify gaps in existing pipeline and data validation systems and propose improvements
Drive enhancements in pipeline reliability, monitoring, and maintainability
Stay current with best practices in microservices and data platform engineering
Required qualifications (Hard requirements)
4+ 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
Requirements
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 wi
Benefits
Health insurance
Additional Information
Do you want to shape the future of fintech and healthtech ? Energized by challenges and inspired by bold goals? Ready to elevate your career alongside driven and talented colleagues? If that sounds like you, explore a career at Alegeus today. Opportunity Happens Here .
Senior Software Engineer - Data Platform (Java, Pipelines & Microservices)
Location
Bangalore, India
About Alegeus
Alegeus is the market leader in consumer-directed healthcare (CDH) solutions, powering millions of consumer benefit accounts including FSAs, HSAs, HRAs, dependent care and wellness programs through a modern SaaS and payments platform.
We are investing aggressively in modernization, API-first integration, real-time data access, and AI-enabled automation to redefine how consumers save and spend on healthcare. At this inflection point, we are transforming our platform, elevating engineering rigor, and building a next-generation product and engineering organization.
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.
Alegeus · Bangalore, India