DevOps Engineer

UptimeAI Inc.; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Collaborative and growth-oriented environment

Opportunities for leadership and innovation

Job summary

A fast-growing AI-first SaaS startup is seeking a Mid-Senior level DevOps Engineer to manage cloud infrastructure and deploy applications. The ideal candidate has 3-8 years of experience in SaaS environments, is AWS and Azure certified, and has solid expertise with CI/CD pipelines and infrastructure as code. Join a collaborative team to contribute to innovative AI solutions in the industrial sector.

Qualifications

• 3 – 8 years of experience as a DevOps/Cloud Engineer.
• Proven experience deploying applications to cloud environments.
• Expertise in CI/CD tools and infrastructure as code.

Responsibilities

• Manage cloud infrastructure across Azure.
• Build CI/CD pipelines for applications.
• Optimize costs and performance for cloud workloads.

Skills

Azure networking

CI/CD pipelines

Bash scripting

Containerization

Security best practices

Education

AWS Certified Solutions Architect – Associate

Azure Certified (AZ-104 or higher)

Tools

Docker

Kubernetes

Terraform

GitHub Actions

Datadog

Job description

About the Company: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would.

About the Role: We are a fast-growing, AI-first SaaS startup backed by top-tier investors and operating across India and the US. Our platform helps enterprises optimize critical business functions using cutting-edge AI and automation. As we scale, we’re looking for a hands‑on DevOps Engineer who thrives in startup environments and can take ownership of cloud infrastructure, deployment, and CI/CD workflows.

Responsibilities:

• Design, implement, and manage cloud infrastructure across Azure for both internal platforms and customer‑specific deployments
• Configure and maintain VPCs, VPNs, and peering to enable secure, scalable, and isolated environments
• Build and automate CI/CD pipelines for application and ML workloads
• Manage multi‑tenant vs single‑tenant deployments based on customer requirements
• Implement monitoring, alerting, logging, and disaster recovery strategies
• Work closely with engineering to ensure seamless Dev→Prod flows and secure release management
• Set up and manage infrastructure as code (e.g., Terraform, Pulumi, Bicep, CloudFormation)
• Optimize costs, performance, and availability for both internal and customer‑facing cloud workloads
• Enforce security best practices, access control, and compliance across infrastructure

Qualifications:

• 3 – 8 years of experience as a DevOps/SRE/Cloud Engineer in high‑growth SaaS or product startups
• AWS Certified (at least Solutions Architect – Associate) and Azure Certified (e.g., AZ‑104 or higher)
• Strong experience with Azure networking, including VPC, VPNs, subnets, route tables, security groups, NAT gateways
• Site‑to‑site VPN setups for enterprise customers
• Proven experience deploying applications to customer‑controlled cloud environments (BYOC) and company‑controlled SaaS environments
• Expertise with tools like: CI/CD – GitHub Actions, GitLab CI, Azure Pipelines; IaC – Terraform, Bicep, or Pulumi; Containers – Docker, Kubernetes (EKS/AKS preferred)
• Familiarity with secrets management, IAM, role‑based access control, and SSO/SAML integration
• Strong scripting skills in Bash, Python, or PowerShell
• Comfortable working in a fast‑paced, ambiguous startup environment

Required Skills:

• Experience with AI/ML pipeline deployment or GPU workloads
• Exposure to SOC2, ISO27001, or GDPR compliance in a cloud environment
• Familiarity with tools like Prometheus, Grafana, Datadog, ELK, or Azure Monitor

Pay range and compensation package: Not specified in the provided job description.

Equal Opportunity Statement: UptimeAI is committed to diversity and inclusivity in the workplace.

Why to join UptimeAI:

• Impact Industry‑Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients.
• Collaborative and Growth‑Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth.
• Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Engineering, Information Technology, and Manufacturing

Industries

• Chemical Manufacturing and Oil and Gas