Senior Devops Engineer
2 weeks ago
Job Title: Senior / Lead DevOps Engineer (GenAI)
Level: A4 & A5 (Experience: 5.1 9 Years)
Key Responsibilities
Design, build, and maintain CI/CD pipelines for GenAI model training and deployment.
Automate infrastructure provisioning & scaling using Terraform, Ansible, Pulumi.
Optimize GPU/TPU utilization and monitor model performance in production.
Integrate GenAI workflows (LLM fine-tuning, embedding generation, RAG pipelines) into production environments.
Collaborate with ML Engineers, Data Scientists, and Platform teams to ensure reproducibility & traceability of models/datasets.
Implement observability for GenAI workloads – logging, monitoring, alerting.
Ensure security, compliance, and cost optimization across cloud/hybrid environments.
Required Skills & Qualifications
5+ years of DevOps / MLOps experience, with 1–2 years in GenAI-focused environments.
Strong proficiency in Docker, Kubernetes, Terraform, Jenkins/GitLab CI, Helm.
Hands-on experience with LLMs, transformers, Hugging Face, LangChain, OpenAI (or similar).
Expertise in cloud platforms (AWS/GCP/Azure) – especially AI/ML services like SageMaker, Vertex AI, Azure ML.
Experience with monitoring tools (Prometheus, Grafana, ELK).
Familiar with ML lifecycle tools – MLflow, Weights & Biases, DVC.
Strong scripting skills in Python, Bash, or Go.
Preferred Qualifications
Experience with RAG pipelines, LLMOps, or orchestration platforms (LangServe, BentoML, FastAPI).
Knowledge of enterprise ML security standards.
Exposure to prompt management tools and GenAI deployment practices.
Soft Skills
Strong problem-solving and ownership mindset.
Ability to lead architecture & design discussions for GenAI infrastructure.
Excellent communication and collaboration across AI, data, and DevOps teams.
What You'll Get
Opportunity to shape and scale GenAI infrastructure in production.
Exposure to state-of-the-art models and tools.
Competitive compensation, flexible working environment & growth opportunities. Role & responsibilities
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