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Pune · On-site · 2-5 Yrs · Oct 8
Enterprise Software & Network Solutions · 5001 to 10000 Employees · Bozeman, US
Snowflake makes enterprise AI easy, efficient, and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com.
Hiring: Engineering
What employees say
+ Great place to work for teco
− Frequent changes in business model
More reviews on the company profile.
Interview experience · Data Analyst
The interview was well organized, and the interviewer was professional and friendly. However, the technical assessment focused heavily on Apache Spark, which was not mentioned in the job description and wasn't part of my
Average difficulty · Bengaluru · 37 reports
More interview insightsJob description
Overview
Cloud Support Engineer — AI/ML & Programmability (Night Shift)
Responsibilities
- Drive technical solutions to complex problems, providing in-depth analysis and guidance to Snowflake customers and partners via email, web, and phone
- Adhere to response and resolution SLAs and escalation processes to ensure fast resolution of customer issues
- Investigate issues using the Snowflake environment, connectors, third-party partner software, and internal tools
- Troubleshoot customer use cases built on Snowflakes Cortex and ML stack, working across Python runtimes and relevant ML libraries
- Investigate, evaluate, and compare Large Language Models to help customers get maximum value from Snowflakes AI capabilities
- Work with customers to resolve programmability-related issues, including DevOps and Kubernetes
- Document known solutions to our internal and external knowledge bases
- Report well-documented bugs and feature requests arising from customer submissions
- Partner with engineering teams to prioritise and resolve customer requests
- Participate in a range of Support initiatives
- Provide support coverage during holidays and weekends based on business needs
- 2+ years of experience in a technical support environment or a similar technical, customer-facing function
- Bachelors or Masters degree in Computer Science or a related discipline, or equivalent practical experience
- Excellent written and verbal communication skills in English, with strong attention to detail
- In-depth knowledge of at least one major cloud providers ecosystem
- Working knowledge of Python and relevant ML libraries
- An intermediate understanding of LLMs and their enterprise applications
- Understanding of software development principles, including object-oriented programming and version control (Git, GitHub, GitLab)
- Understanding of RESTful APIs and web services
- Familiarity with MLOps practices and tools
Nice to have
- Experience in a 24x7 support environment, including technical case escalation, incident management, and on-call rotations
- Background supporting an RDBMS, and familiarity with database release management
- Understanding of machine learning foundations — neural networks, statistics, and optimisation — and of optimising model performance, scalability, and efficiency
- Production experience with frameworks such as Pandas, NumPy, scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, or Keras
- Working experience with Jupyter Notebooks
- Experience with development tools and IDEs (Visual Studio Code, Eclipse, IntelliJ IDEA)
- Experience with API tooling such as Swagger/OpenAPI, Postman, and API Gateway
- Experience with data visualisation tools — Tableau, Power BI, matplotlib, seaborn, or Plotly
- Understanding of big data technologies such as Hadoop or Spark
- Understanding of event-driven architectures and microservices
- Knowledge of authentication and authorisation protocols such as OAuth and JWT
- This role works the 4th / night shift, typically starting at 10:00 PM IST
- Participation in pager duty rotations during nights, weekends, and holidays
- Applicants should be flexible with schedule changes to meet business needs
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Job application FAQ
Last updated 24 October 2026
- How do I apply for Cloud Support Engineer AI ML Night Shift at Snowflake?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Snowflake may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Cloud Support Engineer AI ML Night Shift role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Cloud Support Engineer AI ML Night Shift remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Cloud Support Engineer AI ML Night Shift role at Snowflake?
- This is a mid-level Cloud Support Engineer AI ML Night Shift role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.