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.
Bangalore, India
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.
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.
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
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
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
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
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 and modern engineering stack.
BECAUSE WE CARE, WE OFFER:
A flexible work environment
Competitive salaries, paid vacation, and holidays
Robust professional development programs
Comprehensive health, wellness, and financial packages
SHARED AMBITION. INSPIRED FUTURE.
At Alegeus, our success is guided by our aligned vision and values—it is how we work together and collaborate to achieve our goals.
People First. We pride ourselves in bringing talented people together and treating one another with care.
Partner Powered. We are committed to empowering our partners, knowing our success is shared and we win as one.
Always Advancing. We are driven by potential and relentlessly determined to achieve our goals.
“I truly believe that people who are well-skilled and talented can go wherever they want in this company. We want to create the best place anyone has ever worked.” - Alegeus employee
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We are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, marital status, or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. The information collected by this application is solely to determine suitability for employment, verify identity and maintain employment statistics on applicants.
At Alegeus, being transparent about our compensation philosophy and approach is more than just a legal requirement. As our organization continues to grow and evolve, we have made a commitment to ensure that our compensation framework is equitable, data-driven, consistent, and unbiased, with allowable pay differences based on factors unique to each candidate (think: skills, experience, qualifications, etc.) in order to attract and retain a highly talented and committed workforce.
We are taking an “inside-out” approach to pay transparency by first educating our valued managers and internal workforce and then moving to publishing compensation ranges externally. In the interim, if you are a California, Colorado, Connecticut, Maryland, Nevada, New Jersey, New York, Ohio or Washington resident and this role is physically available in your state or classified as remote, you may be eligible to receive additional information about the compensation and benefits for this role, which we will provide upon request. Please send an email identifying the title of the role you are interested in and the state you reside in to talentacquisitionteam@alegeus.com.
Alegeus may use AI technology during candidate interviews. The uses include recording, note-taking, and summarizing candidate interviews. The information generated by the AI technology will be used by Alegeus during the hiring process. If you wish to opt out of having AI technology transcribe your interview, please notify your recruiter in advance of the interview. Otherwise, by agreeing to an interview with us, you consent to the use of AI technology during your interview.