Platform Engineer – AIOps & Infrastructure

About Us

Solvedex reshapes the future of tech talent through fractional technology leadership. We provide experienced, pre-vetted leaders who integrate seamlessly to guide strategy, execution, and growth—handling alignment and oversight so organizations can stay focused on innovation

We are looking for a Platform Engineer – AIOps & Infrastructure to help build, automate, and scale cloud-native AI infrastructure environments that support enterprise AI/ML workloads.

Role Overview

The Platform Engineer – AIOps & Infrastructure will be responsible for designing, automating, and maintaining scalable infrastructure and platform services for AI/ML operations.

This role combines Platform Engineering, DevOps, Cloud Infrastructure, and MLOps, ensuring high availability, observability, security, and operational excellence across production environments.

What You’ll Do

• Design and maintain scalable cloud-native infrastructure for AI/ML workloads.

• Manage Kubernetes environments, container orchestration, and platform services.

• Build and optimize CI/CD pipelines and Infrastructure-as-Code frameworks.

• Support MLOps and LLMOps workflows, including deployment, monitoring, and lifecycle management.

• Implement monitoring, logging, alerting, and observability solutions.

• Drive DevSecOps, automation, security, and reliability best practices.

• Collaborate with AI Engineers, Data Scientists, and Infrastructure teams to support production AI systems.

• Participate in troubleshooting, incident response, and platform optimization initiatives.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.

• 5+ years of experience in Platform Engineering, DevOps, Cloud Infrastructure, SRE, MLOps, or related fields.

• Strong experience with AWS, Azure, or GCP.

• Hands-on expertise with Kubernetes, Docker, and Infrastructure-as-Code tools (Terraform, CloudFormation, or similar).

• Experience building CI/CD pipelines and automation workflows.

• Strong scripting skills using Python, Bash, or similar languages.

• Experience with monitoring and observability platforms such as Grafana, Prometheus, Datadog, or ELK.

• Advanced English proficiency (B2 - C1).

Preferred Qualifications

• Experience supporting enterprise-scale AI/ML or Generative AI platforms in production.

• Strong knowledge of MLOps and LLMOps ecosystems.

• Experience with MLflow, Kubeflow, Airflow, SageMaker, or similar tools.

• Familiarity with GPU workloads, distributed systems, and AI inference infrastructure. 

• Experience implementing DevSecOps, governance, compliance, and security frameworks.

• Background in high-availability and scalable cloud environments.

Additional Requirements

• Comfortable working remotely with minimal supervision

• Proactive, detail-oriented, and collaborative

• Ability to thrive in a fast-paced, startup-like environment.