Vacancy description
DevHub
India, Ahmedabad
Senior Software Development Engineer (Python) in Ahmedabad, India is listed on Jobeax. Browse 30,000+ vacancies available.
Senior Software Engineer - Python at Infocusp Innovations About the Role We are seeking a highly skilled Senior Software Engineer- Python with expertise in building scalable backend systems, APIs, and platform services that power modern data and AI applications. The ideal candidate will have strong experience in Python-based backend development, distributed systems, cloud-native architectures, and microservices, along with exposure to data engineering and modern data platforms. This role requires a self-driven engineer who can independently design and develop backend services, collaborate with cross-functional teams, and contribute to the architecture of enterprise-scale platforms supporting analytics, AI, machine learning, and real-time data applications. Backend Platform Engineering Design, develop, and maintain scalable backend services and APIs using Python, FastAPI, and Flask. Build high-performance microservices and distributed systems for data and AI-driven applications. Apply Object-Oriented Programming (OOP), design patterns, and software engineering best practices. Optimize application performance, scalability, reliability, and security. Implement robust authentication, authorization, monitoring, and observability frameworks. Distributed Systems & Data Processing Develop backend services that integrate with large-scale data platforms and analytics systems. Build and optimize batch and real-time data processing workflows using technologies such as Kafka, Apache Beam, and Apache Flink. Design scalable solutions for high-volume data ingestion, transformation, and processing. Work with modern data platforms such as Databricks, Snowflake, AWS Glue, Dataflow, or equivalent technologies. Cloud, DevOps & Infrastructure Build and deploy cloud-native applications on AWS, GCP, or Azure. Implement Infrastructure as Code (Terraform) and containerized deployments using Docker and Kubernetes. Develop CI/CD pipelines and adopt DataOps/DevOps best practices. Establish monitoring, alerting, logging, and observability for production systems. Collaboration & Technical Leadership Collaborate with Product, Software, Data, and AI/ML teams. Own technical initiatives from design through deployment and maintenance. Qualifications 4+ years of experience in Backend Engineering or Software Engineering. Strong proficiency in Python, FastAPI, Flask, OOP, and software design principles. Experience building scalable REST APIs, microservices, and distributed systems. Experience with Kafka or other event-streaming technologies. Experience with Docker, Kubernetes, Terraform, and CI/CD pipelines. Strong understanding of cloud platforms (AWS, GCP, or Azure). Preferred Experience with Data Engineering concepts, ELT/ETL pipelines, and workflow orchestration (Airflow/Dagster). Good to have experience with dbt, Snowflake, Databricks, Apache Beam, or Apache Flink. Good to have experience with building AI/ML or RAG infrastructure. Familiarity with vector databases, embeddings, and feature stores. Experience
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