Associate Data and Cloud Engineer

The Associate Data & Cloud Engineer is a full-time, on-site role based in Mumbai. This role involves supporting the design, deployment, and maintenance of cloud infrastructure, ensuring systems are secure, reliable, and scalable. The engineer collaborates with software development teams to streamline releases, troubleshoot system issues, and improve overall performance and observability. The position also includes documenting configurations, following best practices for security and compliance, and participating in continuous improvement of DevOps workflows along with managing entire Data & Cloud Engineering.

-Monitor data quality of objects stored on S3 buckets. Emit the custom AWS Cloudwatch metrics and set up alarms for anomalies.

• Implement a semantic data modeling layer that centralizes metrics used within the organization.
• Fine-tune dbt models processing real-time data.
• Propose a KPI measuring the impact of a given recommendation engine.
• Implement a reverse-ETL pipeline using Airbyte.
• Create a data model of advertisements impression using real-time, high-volume events in SQL language (dbt models).
• Optimize Redshift queries.
• Build and maintain highly-responsive data dashboards and visualizations (either in Metabase or a chosen framework).
• Nurture data quality by implementing atomic data-oriented tests.

What you'll do

Cloud Infrastructure Management

Design, manage, and optimize cloud infrastructure using

AWS

and

Azure

.

Implement and maintain high-availability, scalable, and cost-effective cloud architectures.

Automation & CI/CD

Automate continuous integration and delivery using

Git

or

Bitbucket

.

Create, maintain, and improve build pipelines using

GitLab

and

Jenkins

.

Automate infrastructure provisioning and configuration using

Terraform

,

Ansible

, or other IaC tools.

Microservices & Containerization

Design, deploy, and manage

microservices

, databases, and front-end applications using container orchestration platforms like

Kubernetes

.

Work on end-to-end deployment pipelines, containerized applications, and environments.

Testing & Code Quality

Integrate automated testing and code quality checks within pipelines using tools for unit testing, integration testing, and static code analysis.

Monitoring & Observability

Set up and maintain observability systems, including monitoring, logging, and alerting for APIs, databases, network, and user interfaces.

Use tools like

Prometheus

,

Grafana

,

ELK

, and

CloudWatch

to ensure high system reliability and performance.

Open Source Adoption & Cost Optimization

Research and implement open-source frameworks for authentication, authorization, workflows, health monitoring, business rules, document management, and service management to minimize cloud managed service costs.

Apply

FinOps

strategies to monitor and reduce cloud operational expenses while ensuring performance and scalability.

Preferred Qualification:

• Hands-on experience in open-source tools
• Good experience in Data Engineering, building data pipelines, end to end Devops lifecycle
• Candidate must be able to join within

10 Days / Immediate Joining

preferred

• Demonstrated experience operating production Azure environments
• Experience supporting AI/LLM workloads (local or API-based) in production
• Comfortable working in a small startup team where you own outcomes, not just task
• Experience assessing and improving inherited infrastructure (not just building greenfield)