including hands-on experience with services, cloud architecture, and infrastructure as code (CloudFormation or similar). Proficiency in containerization (Docker) and orchestration (EKS/ECS). Experience with CI/CD pipelines, DevOps practices, and observability tools (monitoring, logging, tracing). Strong grasp of RESTful API design, security principles More ❯
backend systems. Deep understanding of CI/CD pipelines for ML, including tools like GitLab CI/CD, MLflow, Docker, and ECS. Exposure to ECS, Kubernetes, Terraform, and Infrastructure as Code (IaC). Strong knowledge of cloud security and Identity and Access Management (IAM). Knowledge of vector databases More ❯
maintaining logging, monitoring and incident response technologies. Experienced with Infrastructure as Code technologies (AWS/Azure). Experienced containerising applications and maintaining containerised infrastructure (ECS, Docker Swarm, Kubernetes etc). Familiarity with CI/CD systems like Jenkins, GitLabCI, CircleCI etc. Experience with Pulumi is desirable. Knowledgeable in Microsoft More ❯
on experience with relational databases (e.g. PostgreSQL). Hands-on experience with Git, Jenkins. Understanding of micro-services architecture. Understanding of AWS services like ECS, EKS, S3, SQS. Understanding of REST APIs. Understanding of CICD. Good understanding of Kubernetes. Nice to Have Skills: AWS API Gateway and Serverless technologies. More ❯
