Software Architect
Cornerstone OnDemand · Hyderabad
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Employer requisition: req11210
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Collected role description
We are seeking a highly experienced Architect to lead the design and delivery of scalable, high-performance platforms across backend engineering, data engineering, and AI/ML solutions. This role will define architecture strategy, guide engineering teams, and drive innovation in data-driven and AI-enabled products. In this role you will… Architecture & Design Define end-to-end architecture for distributed systems using Java and Python ecosystems Design scalable, secure, and high-availability systems (microservices, event-driven architectures) Establish best practices for system design, coding standards, and performance optimization Lead architecture reviews and provide technical governance Backend Engineering (Java & Python) Architect and guide development of backend services using: Java (Spring Boot, reactive frameworks) Python (FastAPI, Flask, data/AI pipelines) Ensure API design standards (REST/GraphQL) and system interoperability Optimize system performance, reliability, and scalability Data Engineering Design and implement modern data platforms (batch + real-time processing) Architect data pipelines using tools like Spark, Kafka, Airflow Define data modeling strategies (OLTP, OLAP, lakehouse architectures) Ensure data quality, governance, and lineage AI / Machine Learning Architect AI/ML solutions including: Predictive models NLP / Generative AI use cases Collaborate with data scientists to productionize models (MLOps) Design scalable inference pipelines and model deployment strategies Evaluate and integrate emerging AI technologies Cloud & DevOps Lead cloud-native architecture on AWS/Azure/GCP Define CI/CD pipelines and DevOps practices Ensure containerization and orchestration (Docker, Kubernetes) Drive infrastructure-as-code and automation strategies Leadership & Stakeholder You have what it takes if you have… 12+ years of experience in software engineering, with 5+ years in architecture roles Strong expertise in: Java (Spring ecosystem) Python (backend + data/AI) Deep knowledge of distributed systems and microservices architecture Hands-on experience with data engineering frameworks (Spark, Kafka, Airflow) Experience with AI/ML systems and production deployment Strong understanding of cloud platforms (AWS/Azure/GCP) Proven ability to design scalable, fault-tolerant systems #LI-Onsite
Collected experience requirement
12+ years