Senior DevOps Engineer (Cloud-Native, AI-Driven Platform)

How You’ll Have Impact

• Build the Platform Behind the Platform: Design and evolve the cloud infrastructure that powers our multi-tenant SaaS ecosystem.

• Enable Engineering Velocity: Improve CI/CD pipelines, developer experience, and deployment automation.

• Drive Reliability & Observability: Ensure high availability, performance, and real-time visibility across distributed systems.

• Architect for Scale: Design infrastructure that supports growth, AI workloads, and distributed services.

• Champion Infrastructure as Code: Everything reproducible, versioned, and automated.

• Embed Security by Design: Implement DevSecOps best practices across the delivery lifecycle.

What You’ll Do

• Design, implement, and maintain cloud infrastructure in AWS and/or Azure.

• Manage and optimize containerized workloads using Docker and Kubernetes.

• Build and evolve CI/CD pipelines (Jenkins, GitHub Actions, Bitbucket Pipelines, GitLab CI or equivalent).

• Implement Infrastructure as Code (Terraform or similar).

• Ensure high availability, disaster recovery, and backup strategies.

• Improve monitoring, logging, and alerting systems (ELK stack, Grafana dashboards and alerting, Azure Monitor / Log Analytics, Amazon CloudWatch and other observability tools).

• Operate, monitor, and tune Microsoft SQL Server databases (performance, backups, high availability).

• Optimize system performance, scalability, and cost efficiency.

• Collaborate closely with backend engineers (Java / Kotlin, C#, Node.js) to improve deployment patterns and runtime reliability.

• Automate operational processes and reduce manual intervention.

• Leverage AI-assisted tooling (Claude, Codex, automation agents, anomaly detection systems) to improve operational efficiency.

• Participate in architectural discussions to ensure infrastructure scalability and resilience.

You don’t just maintain infrastructure — you engineer the reliability of the business.

Cloud Building Blocks: AWS & Azure

We run workloads on both AWS and Azure. We are looking for solid hands-on experience with IaaS and core managed cloud services on at least one of them — knowing the equivalent on the other cloud is a strong plus. These are the building blocks you’ll work with:

• Virtual machines & autoscaling — Azure: Azure Virtual Machines, VM Scale Sets | AWS: Amazon EC2, Auto Scaling Groups

• Virtual networking — Azure: VNet, NSGs, VNet Integration, Private Endpoints | AWS: VPC, Security Groups, PrivateLink