Platform Engineer

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.

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About the role

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.

Do you want to join our team as our new Platform Engineer – AIOps & Infrastructure? Then we'd love to hear about you!

Please, be advised that this job post is open exclusively to individual candidates applying directly.

We are not currently working with external recruitment agencies, staffing firms, or third-party recruiters for this position. Unsolicited resumes from agencies will not be considered.