MLOps AIOps GCP - Lead
IRIS software
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Job Description
Are you ready to do the best work of your career at one ofIndia's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture thattruly values your talent and ambitions
Join Iris Software - one of thefastest-growing IT services companies- whereyou own and shape your success story.
At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential.
At Iris, every role is more than a job - it's a launchpad for growth.
Job Description
We are seeking an experienced MLOps & AIOps / GCP Engineer to join the Gemini domain team. This role focuses on designing, building, and operating secure, scalable, production-grade ML and GenAI platforms on Google Cloud Platform (GCP), enabling reliable model training, deployment, monitoring, and incident response. You will collaborate with data scientists, platform engineers, and product teams to operationalize ML/GenAI use cases (including agentic workflows) and ensure high availability through robust production support, automation, and observability practices.
- Experience: 8-9 years
- Work Mode: Hybrid
- Employment Type: Full-time / Contract
- Primary Tech Stack: Python, GCP, Vertex AI, GitHub CI/CD, LangChain, LangGraph
Required Technical Skills
Programming & Engineering
- Python (production-grade development, packaging, testing, performance profiling)
- Strong understanding of APIs/microservices patterns, containerization, and runtime optimization
Cloud Technologies (Primary: GCP)
- Hands-on experience with Google Cloud Platform, including (as relevant):
- Vertex AI (pipelines, training, endpoints, model registry, monitoring)
- Cloud Storage, BigQuery, Pub/Sub
- Cloud Run and/or GKE
- Cloud Logging/Monitoring, IAM, Secret Manager, VPC networking
Data/ML/MLOps Platforms (any of the below)
- Experience with at least one: Vertex AI / Databricks / Amazon SageMaker / Azure Machine Learning
- MLOps fundamentals: pipeline orchestration, model registry, lineage, reproducibility, model monitoring, and automated retraining
GenAI / Agentic Frameworks (Mandatory)
- Working knowledge of LangChain and LangGraph
- RAG patterns, prompt and response handling, tool/function calling concepts, evaluation approaches
Databases / Vector Stores (Any)
- Experience with databases and/or vector DBs (e.g., pgvector, Pinecone, Weaviate, Milvus, Elastic, OpenSearch, etc.)
- Understanding of embeddings lifecycle, indexing strategies, and retrieval performance considerations
DevOps / CI-CD
- GitHub CI/CD (e.g., GitHub Actions), branching strategies, release workflows
Required Experience
- Must be proficient in GCP and related tech stack
- Needs to know DevOps concepts using Github CI/CD
- Must have worked on production support and aware of GenAI release management
- Needs to know concepts of AI Ops, MCP server, Apigee.
- At least 8+ years of work experience, at least 3+ years with GCP.
Mandatory Competencies
Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click to view the benefits.
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