Aws Devops + Snowflake Engineer

Fractal Analytics; Pune District, Mumbai, Bengaluru; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Fractal Analytics in Pune seeks a Senior DevOps Engineer to own automated pipelines across AWS, Snowflake and AI platforms. You will craft scalable frontend, backend, Snowflake, and infrastructure pipelines using Terraform, Docker, and GitHub Actions, focusing on security, reliability, and rapid releases.

This role demands strong scripting, Linux networking, IAM/secrets management, CloudWatch monitoring, and hands-on CI/CD/production support in a data-centric environment.

Qualifications

• Experience with AWS, Snowflake, and AI platform deployments.
• Strong automation and scripting skills.
• Expertise in CI/CD, monitoring and security practices.

Responsibilities

• Frontend Pipeline: Install Node.js dependencies, run linting/tests, build React app, security scans, publish artifacts, deploy to S3, invalidate CloudFront, run smoke tests.
• Python Backend Pipeline: Install Python dependencies, run formatting/lint checks, unit/integration tests, security scans, build Docker image, push to ECR, deploy to ECS/EKS, health checks/rollback.
• Snowflake Pipeline: Validate SQL/scripts, apply schemas/tables/views/procedures/roles, promote changes thru approvals, track migrations, enforce protection.
• Infrastructure Pipeline: Terraform formatting/validation, plan, security scans, production-change approvals, apply, secure state in S3 with locking.
• AI and GenAI DevOps: Bedrock deployment, Claude integration, versioning, vector-store deployment, model evaluation, logging, monitoring, cost controls.
• Snowflake-Specific: RBAC, network policies, auto-suspend, data sharing/audit, env promotions Dev-QA-UAT-prod, AWS IAM integration.

Skills

AWS

Terraform

Docker

GitHub Actions

Python scripting

React build and deployment

Snowflake deployment automation

Linux and networking

IAM and secrets management

CloudWatch monitoring

CI/CD and production support

Tools

Terraform

Docker

GitHub Actions

Job description

Role: Senior DevOps Engineer AWS, Snowflake & AI Platform

Core profile:

• AWS

Terraform

Docker

GitHub Actions

Python scripting

React build and deployment

Snowflake deployment automation

Linux and networking

IAM and secrets management

CloudWatch monitoring

CI/CD and production support

The DevOps Engineer should create separate or reusable workflows for:

Frontend Pipeline

• Install Node.js dependencies

Run linting and unit tests

Build the React application

Perform security and dependency scans

Publish artifacts

Deploy to S3

Invalidate CloudFront cache

Run smoke tests

Python Backend Pipeline

• Install Python dependencies

Run formatting and lint checks

Execute unit and integration tests

Run security scans

Build the Docker image

Push the image to Amazon ECR

Deploy to ECS or EKS

Run health checks and rollback if required

Snowflake Pipeline

• Validate SQL and migration scripts

Apply schemas, tables, views, procedures, and roles

Deploy development-to-production changes through approval gates

Track migration history

Prevent unauthorized production changes

Support rollback or recovery procedures

Infrastructure Pipeline

• Run Terraform formatting and validation

Execute terraform plan

Scan infrastructure for security issues

Require approval for production changes

Execute terraform apply

Store Terraform state securely in Amazon S3 with locking

AI and GenAI DevOps Skills

For an AI-enabled program, the DevOps Engineer should additionally understand:

• Amazon Bedrock API deployment and access control

Claude model integration and environment configuration

Prompt and configuration versioning

RAG infrastructure and vector-store deployment

Model and prompt evaluation pipelines

AI response logging and traceability

Token usage, latency, and cost monitoring

Guardrails and content-safety configuration

Data privacy and PII controls

Model endpoint availability and fallback patterns

LLMOps/MLOps integration with application CI/CD

Snowflake-Specific Expectations

The engineer should be comfortable with:

• Snowflake account, database, schema, warehouse, and role administration

RBAC and least-privilege access

Snowflake network policies and private connectivity

Warehouse sizing, auto-suspend, and cost controls

SQL deployment automation

Data quality and pipeline monitoring

Secrets and key-pair authentication

Environment promotion across Dev, QA, UAT, and Production

Snowflake integration with AWS S3 and IAM roles

Secure data sharing and audit logging