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Sr. Cloud / DevOps Engineer
Algebra AI
Dubai, UAE
Full Time
Senior
1 months ago
AWSAzureGCPCI/CDDockerInfrastructure as Code
Free
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About the Role
Algebra AI is seeking a senior Cloud/DevOps Engineer to own cloud infrastructure, CI/CD, security, and reliability for AI-powered workflows. The role involves designing deployment architecture, building observability, and creating reusable infrastructure patterns.
Key Skills for This Role
AWSAzureGCPCI/CDDockerInfrastructure as Code
Responsibilities
- Own Algebra’s cloud infrastructure across internal products, client deployments, and AI workflow environments
- Design secure, scalable deployment architecture for production systems
- Build and maintain infrastructure as code, environment templates, and repeatable deployment patterns
- Manage staging, production, and client specific environments
- Own CI/CD pipelines across backend services, workflow systems, and AI agent deployments
- Improve release processes so engineers can ship faster without breaking production
- Build monitoring, logging, alerting, and incident visibility into production systems
- Create operational runbooks for deployments, incidents, rollback, and client support
- Create reusable infrastructure patterns for future client deployments
- Improve developer experience across local development, staging, testing, and production release
Requirements
- 10+ years of experience across cloud infrastructure, DevOps, platform engineering, or site reliability engineering
- You have owned production infrastructure for real systems, not just supported pipelines
- Strong experience with at least one major cloud provider: AWS, Azure, or GCP
- Strong experience with CI/CD, Docker, containers, infrastructure as code, deployment automation, and environment management
- You know how to build observability into systems: logging, monitoring, alerting, tracing, and incident response
- You can design infrastructure that balances speed, security, cost, reliability, and client requirements
- You can work directly with engineers, founders, and client facing teams without needing everything translated into tickets
Full Job Posting
The Role
- This is a senior infrastructure and engineering operations role with no large team below you.
- You will own the cloud, deployment, security, and reliability foundation behind the AI workflows Algebra builds for clients.
- You will design the deployment architecture, own cloud infrastructure, improve CI/CD, harden environments, set up monitoring, and make sure what we build can actually run in production.
- This is a builder role. You will not inherit a mature platform with perfect documentation and fixed processes. You will create the standards, patterns, and systems that allow Algebra to scale from individual client deployments into a repeatable operating model.
Cloud Infrastructure
- Own Algebra’s cloud infrastructure across internal products, client deployments, and AI workflow environments
- Design secure, scalable deployment architecture for production systems
- Build and maintain infrastructure as code, environment templates, and repeatable deployment patterns
- Manage staging, production, and client specific environments
- Make practical decisions across cloud architecture, cost, scalability, security, and delivery speed
- Support deployment across cloud providers or client infrastructure where required
DevOps and Release Management
- Own CI/CD pipelines across backend services, workflow systems, and AI agent deployments
- Improve release processes so engineers can ship faster without breaking production
- Create deployment standards for new client implementations
- Automate manual operational processes wherever possible
- Manage secrets, environment variables, access controls, build pipelines, and release workflows
- Work closely with backend and AI engineers to make deployment a product strength, not a bottleneck
Reliability and Observability
- Build monitoring, logging, alerting, and incident visibility into production systems
- Set up health checks, uptime monitoring, error tracking, and performance dashboards
- Create operational runbooks for deployments, incidents, rollback, and client support
- Identify reliability risks before they become client problems
- Improve system resilience, recovery processes, and production readiness
- Help move the company from “it works” to “it is stable, observable, and supportable”
Engineering Systems
- Create reusable infrastructure patterns for future client deployments
- Build the technical operating model for how Algebra deploys, monitors, and supports AI workflows
- Improve developer experience across local development, staging, testing, and production release
- Identify technical debt in the infrastructure layer and fix it before it compounds
- Work across product, engineering, and delivery teams to make sure systems are not just built, but actually operable
What We're Looking For
- 10+ years of experience across cloud infrastructure, DevOps, platform engineering, or site reliability engineering
- You have owned production infrastructure for real systems, not just supported pipelines
- Strong experience with at least one major cloud provider: AWS, Azure, or GCP
- Strong experience with CI/CD, Docker, containers, infrastructure as code, deployment automation, and environment management
- You know how to build observability into systems: logging, monitoring, alerting, tracing, and incident response
- You can design infrastructure that balances speed, security, cost, reliability, and client requirements
- You can work directly with engineers, founders, and client facing teams without needing everything translated into tickets
Bonus Points
- You have deployed AI, automation, workflow orchestration, or agent based systems before
- You have experience with multi tenant or client specific deployment architecture
- You have worked with regulated or security sensitive clients in finance, healthcare, government, or professional services
- You understand LLM infrastructure patterns, vector databases, model APIs, agent frameworks, or AI observability
- You have experience with SOC 2, ISO 27001, penetration testing, or enterprise security reviews
- You have worked inside an early stage startup or services led technology business
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