BENGALURU · FULLTIME
Expert Software Engineer, Data Platform
Alegeus
Bengaluru · onsite · Posted 61d ago
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Section · 01
About this role
Senior Software Engineer – Data Platform
Location
Bangalore, India
Reports to
Development Manager
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 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.
Key Responsibilities
Data Platform Engineering
- 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
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.
Apply now, connect a friend to this opportunity, or sign up for job alerts!
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 [HIDDEN TEXT].
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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Section · 02
Skills
Section · Company
About Alegeus

Alegeus
FinTech
501-1000
employees
1995
31 years old
Waltham
US
About
Alegeus Technology
Alegeus is a FinTech company operating in the healthcare benefits space. At a high level, were the leading platform that powers tax-advantaged benefit accounts so think of things like HSAs, FSAs, etc. In other words, we sit at the intersection of healthcare, payments, and technology, and essential we're helping millions of people save smarter and spend better on their healthcare.
In recent years, Alegeus has grown quickly and successfully, but like many fast-growing companies, we’ve reached that stage where we need to evolve from “scale-first strategy” to sustainable, scalable growth. We’re sharpening our identity as a true FinTech company, not just HealthTech and we’re building the operational and strategic infrastructure to support that future.
Since joining Vista Equity Partners, one of the world’s leading private equity firms focused exclusively on software and technology with approx. 80 companies in their portfolio, we’ve been laying the groundwork for that next phase of growth and maturity. We’re investing in technology (think product, AI, etc.) , leadership, and process, all with the goal of creating a more aligned, efficient, and high-performing organization. When it comes to the numbers here's a rapid fire breakdown:
- 1k employees, HQ in Boston, but also have office in Bangalore and Orlando and a presence in Milwaukee.
- We've doubled revenue in five years.
- Directionally we're $300m + this year
- We've tripled EBITDA in five years with 47% EBITDA margins
- We're projected to have more than 11M lives on platform this year, with ~99% client retention
- Greater than 50% rule of 40
Industries
Employee ratings
44 reviews
Culture
2.5
Career growth
2.2
Work-life
2.9
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