Full-Time

DevOps Engineer

Posted on 3/13/2025

AI Sqaured

AI Sqaured

51-200 employees

Integrates AI models into business apps

No salary listed

India

In Person

On-call rotation for one week

Category
DevOps & Infrastructure (1)
Required Skills
Bash
Kubernetes
Microsoft Azure
Python
Grafana
Github Actions
Git
Docker
AWS
Prometheus
Confluence
Grafana Loki
Requirements
  • 3+ years of hands-on experience in a DevOps role.
  • Strong proficiency with Azure and AWS.
  • Experience with containerization and orchestration: Docker and Kubernetes.
  • Experience with monitoring and logging tools (Prometheus, Grafana, Loki, etc.)
  • Experience building and maintaining workflows with GitHub Actions.
  • Scripting skills in Python, Bash, or similar language is encouraged.
  • Experience with git and git-based workflows.
  • Familiarity with collaboration development tools like Linear, Slack, and Confluence.
Responsibilities
  • Design, implement, and maintain scalable, secure, and cost-effective cloud infrastructure in Azure.
  • Build and optimize automated CI/CD pipelines to ensure seamless and efficient deployment of ML models, APIs, and other applications.
  • Automation of manual processes and workflows.
  • Monitoring and troubleshooting to ensure uptime, performance, and reliability of our systems.
  • Responding quickly to incidents and troubleshoot infrastructure or application-related issues.
  • Close collaboration with Software Engineers, Data Scientists, and Product teams to ensure infrastructure meets the needs of AI and ETL workloads, and can handle high volumes of data and computation.
  • Adherence to security best practices in system architecture and deployment pipelines to ensure data privacy, security, and compliance with relevant regulations (SOC 2, CCPA).
  • Continuous evaluation and optimization for system performance, cost management and scalability of AI-related and ETL workloads.
  • Create and maintain clear documentation on deployment processes, infrastructure setup, and troubleshooting guides to support internal teams and reduce downtime.

Squared.ai builds and deploys AI-powered solutions for businesses by integrating predictive and generative AI into business applications. It bridges data science and business teams to enable rapid AI projects and adoption without long development cycles. The platform prepares foundational models and LLMs, enables real-time integration with mission-critical apps, and provides user-friendly interfaces plus real-time performance monitoring. Its goal is to democratize AI-driven decision-making by delivering timely AI-powered insights within existing web apps and workflows.

Company Size

51-200

Company Stage

Series A

Total Funding

$19.8M

Headquarters

Washington DC, District of Columbia

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $13.8M Series A in April 2024 led by Ansa Capital.
  • Partnered with UNIFI Music for AI artist management integration.
  • Completed first acquisition post-funding to enhance AI maintenance.

What critics are saying

  • C3.ai erodes differentiation with superior scale in Fortune 500 clients.
  • DataRobot automates deployments 3x faster, capturing mid-market share.
  • H2O.ai's free tier drives SMB churn via open-source monitoring.

What makes AI Sqaured unique

  • Sparx unifies sales, finance, operations data for instant AI insights without coding.
  • Platform reduces AI integration from months to hours via no-code connections.
  • Real-time monitoring auto-tunes models for seamless business app embedding.

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Benefits

Hybrid Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

5%

1 year growth

2%

2 year growth

22%
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