Senior AI Platform Engineer

Opswerks; Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Opswerks is seeking a Senior AI Platform Engineer to operate and improve AI platforms on Kubernetes, enhancing service health and operational processes.

The ideal candidate will have substantial experience in AI/ML lifecycles, strong Python skills, and a commitment to mentoring junior engineers in MLOps best practices. Candidates should have at least 5 years of experience with Kubernetes environments and have a strong analytical mindset.

Qualifications

• 3+ years of experience supporting production workloads/platforms.
• 5+ years of hands-on experience in AI/ML lifecycle.
• 5+ years of Python experience in development & support.

Responsibilities

• Operate and maintain the company's AI platforms running on Kubernetes.
• Monitor platform health using logs, metrics, and observability tools.
• Improve operational tooling and reliability practices.

Skills

Kubernetes environments

Python

AI/ML lifecycle

DevOps/MLOps

Troubleshooting fundamentals

Tools

Ray.IO

Jupyter Notebooks

AWS SageMaker

Kubeflow AI Tools

Job description

Senior AI Platform Engineer

OpsWerks is a technical consulting company specializing in operational services for the high-tech industry. We help platform and infrastructure teams operate multi‑cloud environments, execute complex migrations, and enable seamless app deployments.

Your Role

As a Senior AI Platform Engineer, you will be responsible for operating, maintaining, and continuously improving the company’s AI platforms running on Kubernetes (On‑premise and/or on AWS/GCP) – similar to the AIoEKS (AI on EKS) deployment frameworks and Kubeflow’s Machine Learning Toolkit.

Platform Ownership & Operations

• Deploy new releases and configuration changes through GitOps/DevOps.
• Monitor platform and service health using logs, metrics, and observability tools.
• Improve platform observability, operational tooling/automations, self‑service capabilities and reliability practices to reduce recurring issues.
• Participate in incident response, root cause analysis and 24x7 operational rotations.

User & Developer Experience

• Investigate & troubleshoot user concerns by correlating them to system‑related issues, breaking integrations and/or user‑specific errors/misconfigurations, and recommending/executing resolutions.
• Advocate for platform standards, security best practices, and operational excellence.

Collaboration and Leadership

• Provide structured Python mentorship to junior engineers, focusing on strong fundamentals and bridging foundational Python knowledge toward MLOps competencies.
• Lead the adoption of MLOps best practices for the team.
• Influence the team roadmap by identifying gaps in tooling, skills, and processes required to support production‑grade AI systems.

Your Qualifications

• 3+ years of experience supporting production workloads/platforms (Ray.IO, Jupyter Notebooks, AWS SageMaker, Kubeflow AI Tools or an AI‑related equivalent).
• 5+ years of hands‑on experience in AI/ML lifecycle (development/deployment, DevOps/MLOps).
• 5+ years of Python experience in development & support on AI/ML workflows and data engineering pipelines.
• Practically skilled in Kubernetes environments including cloud‑provider managed Kubernetes flavors (AWS‑EKS/GCP‑GKE).
• Knowledge of microservice architectures and service communication patterns.
• Strong troubleshooting fundamentals such as application crashes, resource contentions, service latency, and scaling behavior.
• Well‑rounded competency in analyzing logs, metrics, monitoring systems, and service KPIs.

Plus points if you have:

• Exposure in other Data/AI platforms such as Flyte, HuggingFace & AI Agent Platforms (Vertex AI, Claude Code, LangChain, etc.).
• Hands‑on experience with automation or scripting (Bash, Python).
• Kubernetes or cloud certifications (CKAD, AWS).