pipelines, and be confident scripting in Python, C# or similar scripting languages. You’ll also be comfortable working with monitoring and performance tools like Datadog or Prometheus, and ideally, you’ll have worked in a fast-moving SaaS or product-led business before. Bonus points if you’ve helped shape More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Noir
pipelines, and be confident scripting in Python, C# or similar scripting languages. You’ll also be comfortable working with monitoring and performance tools like Datadog or Prometheus, and ideally, you’ll have worked in a fast-moving SaaS or product-led business before. Bonus points if you’ve helped shape More ❯
experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes ). Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog ). Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. Proficiency in scripting languages (Python, Go, Bash ) and knowledge of software development best practices. More ❯
messaging tools (Kafka, Kinesis, Redis), and cloud infrastructure technologies (AWS, Docker, Kubernetes, Terraform). Strong understanding of CI/CD pipelines, observability tools (e.g., DataDog), and Agile and Lean methodologies. Demonstrated ability to adapt to new technologies, align technical decisions with business goals, and champion quality engineering through testable code More ❯
Kinesis, DynamoDB, and Lambda Proficiency in CI/CD tools, particularly Jenkins and Spinnaker Familiarity with monitoring and observability tools such as CloudWatch and Datadog Strong understanding of security best practices in cloud environments Preferred Qualifications In addition to the required qualifications, the following skills and experiences are highly desirable More ❯
Proficient in cloud platforms (AWS, Azure, GCP) and modern DevOps tooling (e.g., Terraform, Jenkins, Kubernetes). Hands-on with observability and monitoring tools (e.g., DataDog, Azure Monitor, AppDynamics). Expert in cyber security practices, identity management, encryption, and secure API development. Familiarity with compliance frameworks such as GDPR and PCI More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Merlin Entertainments
Proficient in cloud platforms (AWS, Azure, GCP) and modern DevOps tooling (e.g., Terraform, Jenkins, Kubernetes). Hands-on with observability and monitoring tools (e.g., DataDog, Azure Monitor, AppDynamics). Expert in cyber security practices, identity management, encryption, and secure API development. Familiarity with compliance frameworks such as GDPR and PCI More ❯
secret management tools (e.g., HashiCorp Vault, Azure Key Vault) and SSO/authentication systems (e.g., Okta). Observability: Hands-on experience with platforms like DataDog, Grafana, or Azure Monitor. Networking: Strong understanding of networking principles, DNS, and related technologies. CI/CD: Skilled in creating and maintaining CI/CD More ❯
strategy while delivering incremental value. Technical Debt Management – Experience identifying and remediating inefficient architectures. Observability & Performance Optimization – Familiarity with monitoring and logging tools (e.g., Datadog, Splunk, Prometheus, New Relic). Stakeholder Management – Ability to engage with senior leadership, product managers, and engineering teams. Metrics-Driven Decision Making – Familiarity with engineering More ❯
strategy while delivering incremental value. Technical Debt Management – Experience identifying and remediating inefficient architectures. Observability & Performance Optimization – Familiarity with monitoring and logging tools (e.g., Datadog, Splunk, Prometheus, New Relic). Stakeholder Management – Ability to engage with senior leadership, product managers, and engineering teams. Metrics-Driven Decision Making – Familiarity with engineering More ❯
utilization - Strong understanding of network fundamentals (DNS, DHCP, TCP/IP, routing, load balancing, load shedding) and experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar) - Experience scripting operating system tasks in Bash, Python, etc. and with Infrastructure as Code, (such as CDK, CloudFormation, Puppet, Chef, Ansible More ❯
services using Docker and Kubernetes, optimised for cloud deployment (Azure preferred). Implement model and pipeline monitoring using tools such as Prometheus, Grafana, or Datadog, ensuring performance and observability. Collaborate with DevOps to maintain and improve infrastructure scalability, reliability, and cost-efficiency. Design, build and maintain internal ML tools to More ❯
CI/CD best practices and tools (e.g. GitHub Actions, Jenkins, CodePipeline) Exposure to monitoring and observability tools for ML systems (e.g. Prometheus, Grafana, DataDog, WhyLabs, Evidently, etc.) Experience in building parallelised or distributed model inference pipelines Nice-to-Have Skills Familiarity with feature stores and model registries (e.g. Feast More ❯
administration skills in a Cloud or Virtualized environment, and knowledge of IP networking, VPN and firewalls. - Experience monitoring and log aggregating frameworks like CloudWatch, Datadog, Splunk, Opentracing, AWS X-Ray, and APM tools, alerting and notifications as well as demonstrated ability to think strategically about business, product, and technical challenges. More ❯
Experience with AWS certifications (AWS Certified Solutions Architect, Developer, or DevOps Engineer). Experience with Monitoring and Logging solutions like CloudWatch , New Relic , or Datadog . More ❯
Experience with AWS certifications (AWS Certified Solutions Architect, Developer, or DevOps Engineer). Experience with Monitoring and Logging solutions like CloudWatch , New Relic , or Datadog . More ❯
Proficiency in SQL and data analytics tools (e.g., Sigma, Snowflake) Experience with FIX protocol and market data analysis proficient in AWS, Kubernetes, monitoring tools (Datadog, Prometheus, Grafana), and automation frameworks (Terraform, Ansible, Pulumi) For more information, please apply with a relevant CV. More ❯
Proficiency in SQL and data analytics tools (e.g., Sigma, Snowflake) Experience with FIX protocol and market data analysis proficient in AWS, Kubernetes, monitoring tools (Datadog, Prometheus, Grafana), and automation frameworks (Terraform, Ansible, Pulumi) For more information, please apply with a relevant CV. More ❯
IAM, DynamoDB), HashiCorp (Vault, Consul, Nomad) Authentication: Auth0 for API authorization DevOps & Tooling: GitLab CI (CI/CD pipelines), Kong, Postman, Apollo GraphQL Observability: Datadog Infrastructure & Automation: Infrastructure as Code (IaC), Distributed Caching with Redis About You: You're an enthusiastic and curious engineer who thrives in collaborative environments and More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
AI Tech Suite
Find the latest job opportunities in AI and tech. RunPod offers GPU cloud computing for AI/ML, providing secure and community cloud options, on-demand and spot pods, and serverless GPU scaling. The flexibility of remote work with an More ❯
Find the latest job opportunities in AI and tech. RunPod offers GPU cloud computing for AI/ML, providing secure and community cloud options, on-demand and spot pods, and serverless GPU scaling. The flexibility of remote work with an More ❯
Python, Groovy, Golang, Powershell Familiarity with SDLC tools such as Jira, Confluence, Bitbucket, Nexus, Zephyr Monitoring and logging expertise with Grafana, Prometheus, Splunk, Dynatrace, Datadog Nice to have: Security capabilities including SCA, SAST, DAST If interested and qualified, please submit your CV for consideration. McGregor Boyall is an equal opportunity More ❯
