About the Opportunity
Solvedex is a fast-growing Talent-as-a-Service (TaaS) startup focused on delivering flexible, high-quality talent solutions for modern organizations.
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.
📩 Apply now. Include your CV in English.
