Ops Engineer

OPS Engineer: Delivery & AI Automation

On-site | BGC, Taguig – Manila Office

About EviSmart

EviSmart are reimagining the future of dentistry through AI-powered workflow automation and CAD design outsourcing. Trusted in over 26 countries, our mission is to make dental care smarter, faster, and better — and we're achieving it through powerful technology that connects dentists, labs, and manufacturers worldwide.

Become the Architect of Zero-Touch Deployment

Are you tired of babysitting manual deployments and fighting production fires at 2 AM? We are looking for a seasoned operations automation expert ready to build the unstoppable engine that powers our entire product delivery. Your mission isn't just to deploy code — it's to create the automated factory that safely moves both cutting-edge software and AI models from development to production with zero manual intervention. If you live for infrastructure-as-code, pipeline automation, and being the guardian of production stability, this is your chance to build systems that define organizational excellence

What You'll Do

• You will be the engine that enables 99% reliability
  across the entire organization. You are directly accountable for the speed, stability, and safety of the production environment — every manual deployment step eliminated and every AI model successfully running in production is your victory
• Infrastructure-as-Code (IaC) Mastery:
  You are the automation architect Write, maintain, and optimize code that manages our entire cloud infrastructure, ensuring perfect consistency, scalability, and reproducibility. You'll own the infrastructure state and proactively eliminate configuration drift.
• CI/CD Pipeline Excellence:
  Build bulletproof automated software delivery pipelines that validate code quality, execute comprehensive tests, and deploy releases instantly with zero human touch. You'll maximize deployment frequency while maintaining rock-solid stability.
• MLOps Automation Champion:
  Create the continuous intelligence pipelines that automatically train, validate, and deploy new versions of AI models as fresh data arrives. You'll ensure our AI systems improve themselves seamlessly without human intervention.
• Recovery & Resilience Focus:
  You don't just prevent failures — you architect systems that recover instantly when they happen. You'll minimize Mean Time To Recovery (MTTR) and ensure production issues are detected and resolved before users even notice.

What We're Looking For

• Experience:
  5+ years of progressive DevOps, SRE, or platform engineering experience with a proven track record of building and maintaining high-availability automated deployment systems in complex production environments.
• Technical Proficiency:
  Expert-level skills in Azure DevOps/GitHub Actions, Infrastructure-as-Code tools (Terraform/Bicep), Docker/Kubernetes, Azure cloud services, and CI/CD pipeline design.
• Additional Skills:
  Strong knowledge of scripting (Python/PowerShell/Bash), monitoring and observability tools, MLOps frameworks (MLflow/Kubeflow), and database deployment automation.
• Outcome-Focused Mindset:
  Deep commitment to eliminating manual work and maximizing automation coverage, not just maintaining the status quo. You measure success by deployment frequency and recovery speed, not busy work.
• Reliability Guardian:
  Passionate about being the last line of defense for production stability, with the courage to halt deployments when quality gates aren't met and the wisdom to know when speed must yield to safety.
• Analytical Thinking:
  Demonstrated ability to analyze deployment patterns, identify bottlenecks in the delivery process, and design targeted automation strategies that prevent production incidents.
• Adaptability:
  Comfortable working across multiple squads and domains, supporting both traditional software deployments and cutting-edge AI model delivery pipelines.

What Success Looks Like

• Release Integrity:
  Achieving and maintaining a 99% deployment success rate — your automated pipelines consistently deliver code to production without failures or rollbacks.
• Intelligence Pipeline Success:
  Maintaining 99% AI model stability in production — your MLOps automation ensures trained models perform flawlessly when deployed to live systems.
• Automation Coverage:
  Eliminating manual deployment steps and maximizing the percentage of releases that flow through fully automated pipelines without human intervention.
• Recovery Excellence:
  Minimizing Mean Time To Recovery (MTTR) when incidents occur, ensuring the system self-heals or enables rapid response.

Required Qualifications: The Technical Firepower

• Experience:
  You need 5+ years of progressive DevOps/SRE experience with a proven, awesome track record of building and maintaining automated deployment systems for complex, highly available production environments.
• Technical Proficiency:
  Expert level mastery in our core stack: Azure DevOps, Azure Cloud Services (App Services, AKS, Functions), Infrastructure-as-Code (Terraform/Bicep), Docker/Kubernetes, and CI/CD automation tools.
• Mindset:
  A deep, genuine commitment to the automation-first mindset, always prioritizing long-term system reliability over quick manual fixes. You are driven by measurable outcomes like deployment frequency and MTTR, not just activity
• Accountability:
  Demonstrated ability to own production infrastructure end-to-end, from pipeline design to incident response, root cause analysis, and preventative automation implementation.
• Collaboration:
  Excellent communication skills — you can articulate complex infrastructure trade-offs so even non-technical partners (like PMs and Business Partners) completely understand

Ready to Build the Future?

If you are a senior operations engineer who thrives on eliminating manual work, delivering bulletproof automation, and enabling the entire organization to move at maximum velocity with zero compromises on stability, then we absolutely want you on our team If your pipelines define speed, safety, and success, let's talk about building the automated future together