help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Configuration Management Ansible Monitoring and Observability Grafana, Prometheus Kubernetes (building and managing production clusters) Terraform (IaC provisioning) Python or Java (scripting, automation) GitHub Actions (CI/CD pipelines) What They’re Looking For Experience in AWS cloud More ❯
technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Monitoring and Observability Grafana, Prometheus Kubernetes (building and managing production clusters) Terraform (IaC provisioning) Python, Bash or Go (scripting, automation) GitHub Actions (CI/CD pipelines) What They’re Looking For Experience in AWS More ❯
help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Configuration Management Ansible Monitoring and Observability Grafana, Prometheus Kubernetes (building and managing production clusters) Terraform (IaC provisioning) GitHub Actions (CI/CD pipelines) What They’re Looking For Experience in AWS cloud infrastructure (ideally in a regulated More ❯
City of London, London, South Bank, United Kingdom
Experis
Good client facing skills and problem solving aptitude DevOps knowledge of SQL Oracle DB Postgres ActiveMQ Zabbix Ambari Hadoop Jira Confluence BitBucket ActiviBPM Oracle SOA Azure SQLServer IIS AWS Grafana Oracle BPM Jenkins Puppet CI and other cloud technologies. Your Skills: Excellent attention to detail and ability to follow defined processes. Strong commitment and ability to quickly learn new technical More ❯
access control (802.1x, RADIUS), or zero-trust security concepts. Exposure to infrastructure-as-code (Terraform, Ansible) and version control systems (Git). Experience with monitoring and observability tools (LogicMonitor, Grafana, Prometheus). Knowledge of hybrid cloud networking, including AWS Direct Connect or GCP Interconnect. Relevant certifications such as CCNP, AWS Advanced Networking Specialty, or Google Cloud Network Engineer. More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Huxley Associates
or ARM templates Hands-on experience with CI/CD pipelines (e.g., Bitbucket, Azure DevOps) API Gateway, Azure API Management (APIM), Azure Application Gateway Monitoring tools such as Prometheus, Grafana, and Azure Monitor Understanding of secure multi-region deployments and network segmentation Remote Working Expected to be in the office 1 to 2 days a week. With additional days depending More ❯
API endpoints and overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Data Lab. • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through ServiceNow • Interface directly with Domino Data Lab support to resolve model … monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and alerting. • Good to have hands-on experience with Domino Data Lab platform. • Solid understanding of CI/CD pipelines, version control, containerization, and orchestration. • Ability to communicate More ❯
london (city of london), south east england, united kingdom
HCLTech
API endpoints and overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Data Lab. • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through ServiceNow • Interface directly with Domino Data Lab support to resolve model … monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and alerting. • Good to have hands-on experience with Domino Data Lab platform. • Solid understanding of CI/CD pipelines, version control, containerization, and orchestration. • Ability to communicate More ❯
