Experience: 13+ years
Full-time
Infinx Healthcare is a leading healthcare payment solutions provider specializing in next-generation, cloud-based SaaS
Our mission is to maximize and preserve revenue across the US healthcare revenue cycle by combining
human expertise with artificial intelligence.
We are looking for a highly experienced Technical Architect to provide technical leadership for our Core Platform &
This role is central to driving cloud architecture, platform modernization, the adoption of AIdriven
product capabilities, and the embedding of industry best practices across our B2B SaaS platform, raising
engineering excellence, product reliability, and long-term scalability.
The ideal candidate brings deep expertise in cloud-native architecture, distributed systems, enterprise SaaS, and dataintensive
Engineering Managers, Leads, TPMs, QA, DevOps, and leadership to shape the long-term technical direction of the
Cloud Architecture & Technical Leadership
~ Define and drive the long-term cloud architecture vision and roadmap for the Infinx Core Platform & Automation

Design highly scalable, secure, multi-tenant SaaS systems on the cloud (AWS) capable of handling high

Drive adoption of microservices, event-driven architecture, API-first design, and cloud-native development

Review system designs, architecture proposals, and critical implementation decisions.
Proactively identify and address architectural bottlenecks, performance issues, and technical debt.
Re-architect legacy components toward cloud-native, containerized, and serverless patterns.
Drive decomposition and cloud migration strategies (e.g.,



Lead cloud cost optimization (FinOps) and platform efficiency initiatives.
AI-Driven Product Innovation
Partner with Product and Data teams to design and embed AI/ML-driven capabilities into the platform.
Define architecture patterns for integrating LLMs, ML models, and intelligent automation into product
Drive adoption of AI-assisted engineering practices to accelerate delivery and improve developer productivity.
Evaluate and recommend emerging AI frameworks, tooling, and other solutions.
Bring industry best practices to product development across the full software delivery lifecycle.
Improve platform reliability, performance, availability, and operational stability.
Drive engineering quality initiatives such as automated testing, code quality, secure coding (OWASP), and CI/CD
Partner with QA and DevOps to strengthen release engineering and production readiness.
Participate in roadmap planning, technical estimation, risk identification, and prioritization.
Balance short-term delivery goals with long-term platform sustainability.
Build strong engineering depth across backend, frontend, platform, and data engineering functions.
13+ years in product engineering, with strong experience designing and building scalable enterprise SaaS





Strong expertise in Java and Spring Boot based enterprise application development.
Deep understanding of distributed systems, scalable architectures, and cloud-native design principles.
Proven experience designing and building microservices-based platforms.
Strong experience with REST APIs, asynchronous messaging, and event-driven systems; Hands-on experience with relational and NoSQL databases such as PostgreSQL, MongoDB, and Redis.
Robust understanding of performance tuning, scalability, caching, and resiliency patterns.
Hands-on experience with AWS services such as EC2, ECS/EKS, S3, RDS, Lambda, CloudWatch, and IAM.
Strong understanding of software security best practices and OWASP guidelines.
AI & Data Engineering
Experience integrating AI/ML or LLM-driven capabilities into products.
Familiarity with AI-assisted development tooling and related concepts.
Hands-on experience in data engineering technologies such as SQL, Apache Spark, Apache Flink, or equivalent
Understanding of data lakes, lakehouse architectures, batch processing, and stream processing.

Proven experience leading large-scale product engineering initiatives.
Experience working in Agile/Scrum product engineering environments.
Exposure to AI/ML-driven product capabilities or AI-assisted software development.
Experience building highly configurable enterprise workflow platforms.
Experience with data engineering, analytics, or reporting platforms (Lakehouse / Warehouse / Databricks /
QuickSight / Power BI).
~ Cloud certifications (e.g., AWS Solutions Architect – Professional).

📌 Technical Solutions Architect - AWS (Bengaluru)
🏢 Infinx
📍 Bengaluru