Expert Software Engineer, Data Platform

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 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

Platform APIs & Backend Engineering

• 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

Cloud & Platform Integration

• 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

Quality, Observability & Engineering Excellence

• 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

Product Mindset & Ownership

• 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

Mentorship & Leadership

• 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

Required Qualifications (Hard Requirements)

• 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 …