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Role – Python Developer
Experience – 4Year
Location Hyderabad
Budget – 18LPA
Skillset
● Python: Expert-level (Senior) or Strong (Mid) proficiency in Python, focusing on maintainability and performance.
● Cloud/GCP: Experience with GCP.
● Linux: Exposure of Linux systems to support high-performance workstation environments.
● Data & Observability: Exposure in log analysis, SQL-based monitoring, and implementing SRE principles at scale.
Responsibilities
● Advanced Troubleshooting: Triage complex bugs and provide robust Python-based fixes. Senior Level engineers are expected to identify systemic patterns in bugs to prevent future regressions.
● Observability: Lead efforts in monitoring and alerting; analyze the full stack to isolate issues across GCP services or internal partner dependencies.
● Reliability Engineering: Perform critical KTLO operations and engineering tasks. This includes adapting the Python codebase to remain compatible with evolving GCP infrastructure and Linux kernel updates.
Job ID: 147537229
Skills:
Algorithm Design, Api Development, Agile Project Management, Javascript Frameworks, Angular, Django, React, Pandas, RDBMS, Numpy, Gcp, Apache Kafka, Flask, data structures, Python, AWS, object-oriented programming, cloud-native technologies, Key-Value, DataFrames
Skills:
Microservices, Docker, Python, Rest Apis, prompt tuning, CI CD workflows, Hugging Face, vector databases, Pinecone, document retrieval, few-shot prompting, Chroma, agent construction, Cohere, LangChain, LLMs, Anthropic, prompt engineering, GenAI-powered applications, backend architecture, FAISS, OpenAI, Weaviate, LlamaIndex
Skills:
Workflows, Python, LangChain, LangGraph, GenAI, embeddings, chains, LLMs, vector databases, Agents, prompt engineering
Skills:
Unit Testing, Api Development, Numpy, Django, Git, Pandas, Docker, Flask, Azure, Python, AWS, async programming
Skills:
Backend Development, Java, Apis, Rest Apis, Python, Microservices, Agentic AI, Scalable application design, Cloud-based deployments, AI-driven solutions
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