Padmi

Web Application Developer

MumbaiPosted 2 months ago
Software engineeringSeniorFull Time; Regular
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Responsibilities: Design, develop, and maintain Python-based backend services, APIs, and data pipelines.Contribute to system architecture and low-level design (LLD) for assigned modules.Build and optimize ETL workflows for data ingestion and transformation.Work with search systems, including vector search engines (Elasticsearch, OpenSearch, Pinecone, Weaviate, Milvus, and FAISS).Implement caching strategies (Redis, Memcached) to improve performance.Integrate with pub/sub messaging systems (Kafka, RabbitMQ) for distributed and event-driven processing.Collaborate with product managers, architects, and QA engineers to deliver robust solutions.Mentor junior developers through code reviews, pair programming, and knowledge sharing.Explore and contribute to the adoption of LLMs, AI agents, and agentic workflows for intelligent automation.Follow best practices for CI/CD, testing, and containerization (Docker/Kubernetes). Requirements: Strong expertise in Python 3-8 years for backend systems, data pipelines, or AI integration.Hands-on experience with Java or Go for microservices.Proficiency in REST API design and microservices architecture.Experience with ETL flows and data pipeline development (Airflow, dbt, Luigi, etc. ).Practical exposure to search systems (Elasticsearch, Solr, and OpenSearch) and vector search engines (Pinecone, Milvus, Weaviate, and FAISS).Solid experience with RDBMS (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis, Cassandra).Understanding of caching systems (Redis, Memcached).Experience with pub/sub systems (Kafka, RabbitMQ).Strong grasp of low-level design, distributed systems basics, concurrency, and performance optimization.Familiarity with LLMs, AI agents, and modern AI development frameworks (LangChain, LlamaIndex, Haystack).Version control and DevOps exposure (Git, CI/CD, Docker, Kubernetes).Familiarity with frontend frameworks (React/Angular).Cloud development experience on AWS, GCP, or Azure.Understanding of observability frameworks (Prometheus, Grafana, ELK, and OpenTelemetry). Responsibilities: Design, develop, and maintain Python-based backend services, APIs, and data pipelines.Contribute to system architecture and low-level design (LLD) for assigned modules.Build and optimize ETL workflows for data ingestion and transformation.Work with search systems, including vector search engines (Elasticsearch, OpenSearch, Pinecone, Weaviate, Milvus, and FAISS).Implement caching strategies (Redis, Memcached) to improve performance.Integrate with pub/sub messaging systems (Kafka, RabbitMQ) for distributed and event-driven processing.Collaborate with product managers, architects, and QA engineers to deliver robust solutions.Mentor junior developers through code reviews, pair programming, and knowledge sharing.Explore and contribute to the adoption of LLMs, AI agents, and agentic workflows for intelligent automation.Follow best practices for CI/CD, testing, and containerization (Docker/Kubernetes). Requirements: Strong expertise in Python 3-8 years for backend systems, data pipelines, or AI integration.Hands-on experience with Java or Go for microservices.Proficiency in REST API design and microservices architecture.Experience with ETL flows and data pipeline development (Airflow, dbt, Luigi, etc. ).Practical exposure to search systems (Elasticsearch, Solr, and OpenSearch) and vector search engines (Pinecone, Milvus, Weaviate, and FAISS).Solid experience with RDBMS (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis, Cassandra).Understanding of caching systems (Redis, Memcached).Experience with pub/sub systems (Kafka, RabbitMQ).Strong grasp of low-level design, distributed systems basics, concurrency, and performance optimization.Familiarity with LLMs, AI agents, and modern AI development frameworks (LangChain, LlamaIndex, Haystack).Version control and DevOps exposure (Git, CI/CD, Docker, Kubernetes).Familiarity with frontend frameworks (React/Angular).Cloud development experience on AWS, GCP, or Azure.Understanding of observability frameworks (Prometheus, Grafana, ELK, and OpenTelemetry).

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