Software Architect

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