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
Development Manager
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 a Senior Software Engineer to design, build, and scale our next-generation Data Platform and Data-Driven APIs. This role combines distributed data processing (Apache Spark) with platform and microservices engineering (Java) to enable reliable, scalable, and real-time data access.
You will operate at the intersection of data engineering and backend platform engineering-building systems that not only process large volumes of data but also expose that data through robust, well-designed APIs and services.
This role goes beyond implementing requirements. We expect engineers to understand business context, challenge assumptions, and take end-to-end ownership of delivering meaningful outcomes.
Design and develop scalable data pipelines using Apache Spark (batch and streaming)
Build and maintain data platform layers: ingestion, transformation, and serving
Optimize Spark jobs for performance, cost, and reliability (partitioning, skew handling, memory tuning)
Implement data quality, observability, and lineage frameworks
Contribute to data architecture decisions (Lakehouse, data mesh, storage formats, partition strategies)
Define and enforce data contracts and schema evolution practices
Design and build data-driven platform APIs using Java (preferred)
Develop microservices that expose curated datasets for product and partner consumption
Implement RESTful APIs and event-driven services for real-time and near real-time data access
Ensure low-latency, high-availability data serving layers
Integrate with upstream/downstream systems, including legacy APIs where required
Build and deploy solutions on Azure (preferred) / AWS / GCP
Leverage cloud-native services for data storage, compute, and messaging
Work with event streaming systems (Kafka/Event Hubs) for real-time pipelines
Support containerized deployments and orchestration (Kubernetes) where applicable
Champion unit tests across both data and service layers
Build automated validation frameworks for data pipelines
Implement end-to-end observability (metrics, logging, tracing) across pipelines and APIs
Drive CI/CD practices for both data and application code
Conduct code reviews and enforce engineering best practices
Engage deeply with product and business stakeholders to understand why, not just what
Translate business problems into scalable data and platform solutions
Take end-to-end ownership from design through production and support
Proactively identify performance bottlenecks, data issues, and system gaps
Mentor engineers on distributed systems, Spark optimization, and API design
Promote best practices in data engineering, microservices, and software craftsmanship
Contribute to platform vision and long-term architectural evolution
4+ years of software engineering experience with strong focus on data platforms and/or distributed systems
Hands-on expertise in Apache Spark or Scala or PySpark
Strong programming skills in Java (preferred) / Scala / Python
Experience building large-scale data pipelines (ETL/ELT)
Experience developing backend services or APIs (REST/microservices)
Deep understanding of:
Distributed systems (partitioning, shuffle, fault tolerance)
Data storage formats (Parquet, ORC, Avro)
Data modeling and schema evolution
Experience with cloud platforms (Azure/AWS/GCP)
Familiarity with workflow orchestration tools (Airflow, Dagster, etc.)
Strong system design and performance optimization skills
Experience with Spark Structured Streaming
Exposure to Lakehouse architectures (Delta Lake, Iceberg, Hudi)
Experience with event-driven architectures (Kafka, Event Hubs)
Knowledge of data governance, catalog, and lineage tools
Experience with CI/CD for data and microservices
Familiarity with Kubernetes and containerized workloads
Experience designing low-latency data serving APIs
A successful engineer in this role will:
Deliver high-quality, production-grade data pipelines and APIs that power real business outcomes
Build systems that are scalable, observable, and resilient underload
Take ownership end-to-end, ensuring data flows reliably from source to consumer
Balance data correctness, performance, and cost efficiency
Contribute to evolving a modern data platform integrated with product-facing services
You will work on foundational platform problems at scale, where data correctness, performance, and availability directly impact financial and healthcare outcomes. This role offers the opportunity to shape both data infrastructure and the APIs that bring it to life, in a system undergoing significant modernization.
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.
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