Badkhal Lake Delhi Delhi Python senior developer devops Jobs – 84 Open Jobs Today

Python Senior Developer - DevOps
HCLTech —Noida, Uttar Pradesh
- Azure
- Master's degree
- AWS
4d

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Python Senior Developer - DevOps
HCLTech —Noida, Uttar Pradesh
Collaborate within team to integrate devops best practices into project workflows. Develop, and implement devops solutions to improve software delivery pipeline…
4d
Senior Site Reliability Engineer
Sezzle —Delhi, Delhi
Drive capacity planning, benchmarking, and work with the team to stress test our systems, find bottlenecks, and prepare for further growth in the business.
₹5,000 - ₹9,500 a month

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Python Senior Developer - DevOps

HCLTech -
Noida, Uttar Pradesh

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Job details

4 days ago

Qualifications

CI/CD
Cloud infrastructure
Azure
Law
Kubernetes
PaaS
Git
Master's degree
AWS
Docker
Version control systems
Continuous integration
SDKs
Back-end development
GitHub
APIs
AI
Python
IaaS

Full job description

Noida, Uttar Pradesh
Job Summary
The Senior Developer will be responsible for developing and implementing DevOps solutions using Python and GitHub. The primary objectives include enhancing automation, continuous integration, and deployment processes to support software development projects.
Key Responsibilities
1. Develop, and implement devops solutions to improve software delivery pipeline efficiency
2. Create automation scripts using python to streamline software development and deployment processes
3. Collaborate within team to integrate devops best practices into project workflows
4. Manage version control systems, particularly github, to ensure code quality and versioning control
5. Troubleshoot and resolve any issues related to devops tools and processes
6. Stay updated with the latest trends and technologies in devops to recommend improvements and enhancements
Skill Requirements

Required Skills

Strong proficiency in Python and backend AI development.

Experience with LLMs (Azure OpenAI, Gemini, etc.) and any Agent development kit.

Knowledge of embeddings (Sentence-Transformers, OpenAI Embeddings, etc).

Hands-on experience with vector DBs like Pinecone, Qdrant, Weaviate, Chroma, FAISS, etc.

Familiarity with hybrid search tools such as Azure AI Search, OpenSearch or similar.

Experience deploying applications on cloud PaaS/IaaS or Kubernetes.

Working knowledge of CI/CD and LLM/MLOps practices.

Nice to Have

Experience with evaluations, prompt engineering, fine-tuning and agent workflows.

Other Requirements

Responsibilities

Develop solutions using LLMs (Azure OpenAI, Google Gemini, OpenAI APIs or similar) and Agent Development Kits (OpenAI Agent SDK/Google ADK/Langchain/Langraph).

Build RAG pipelines using LangChain, LlamaIndex, or similar tools.

Implement document processing, embeddings, vector search, and hybrid semantic search.

Deploy GenAI applications on Azure ML Studio, Vertex AI, AWS, or using FastAPI + Docker/Kubernetes.

Integrate CI/CD workflows using GitHub Actions, Azure DevOps, etc.

Collaborate with product and engineering teams to deliver scalable, secure, and high-performance AI systems.

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