Cloud Engineer

JOB DESCRIPTION

Requirements:
5+ years of experience in cloud-native architecture and design, with a strong background in cloud environments such as AWS, Google Cloud, or Azure.
Extensive experience with Kubernetes and knowledge of the CNCF ecosystem (e.g., Helm, Istio, Envoy, ArgoCD, Grafana, Fluentd, Loki, Prometheus, Longhorn, OPA, Knative, Crossplane, etc.).
Hands-on experience with event-driven architectures (EDA) and event streaming platforms (e.g., Kafka, Flink, Confluent).
Proven experience designing, deploying, and managing ETL pipelines and data orchestration tools (e.g., SSIS, Matillion; Apache Airflow, Prefect, Dagster).
Familiarity with AI/ML workloads in the cloud, including designing scalable and efficient AI pipelines. Familiarity with relevant tools for data management, model development, model training, model serving, monitoring & lifecycle management.
Strong skills in infrastructure as code (IaC) using tools such as Terraform, Pulumi, Ansible, and CloudFormation.
Proficiency in automation and scripting languages such as Bash, Python, or Go.
Solid understanding of cloud security best practices, including network security, encryption, secrets management, firewalls, WAFs, and identity & access management.
Experience with CI/CD pipelines, containerization (e.g., Docker), and microservices architecture.
Strong problem-solving skills and the ability to identifyt efficient, cost-effective, and scalable cloud-native solutions.
Excellent communication skills with the ability to work cross-functionally and convey complex technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications:
Certifications in AWS, GCP, or Azure cloud environments.
Knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch) and integrating them into production workloads.
Experience with monitoring and observability tools like Grafana, Prometheus, or OpenTelemetry