Who we are We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team. Who you are You are a DevOps/Site Reliability Engineer with experience managing complex infrastructure and More ❯
Southampton, Hampshire, United Kingdom Hybrid / WFH Options
Spectrum IT Recruitment
Hands-on familiarity with the Grafana Observability Suite, including tools like Loki, Mimir, and Tempo Background in administering or developing with popular monitoring and automation tools such as Splunk, Datadog, PagerDuty, or Rundeck Experience using configuration management platforms like Ansible, Puppet, or Chef Professional certifications in cloud DevOps, such as AWS Certified DevOps Engineer or Google Cloud Professional DevOps Engineer More ❯
Hampshire, England, United Kingdom Hybrid / WFH Options
Spectrum IT Recruitment
Hands-on familiarity with the Grafana Observability Suite, including tools like Loki, Mimir, and Tempo Background in administering or developing with popular monitoring and automation tools such as Splunk, Datadog, PagerDuty, or Rundeck Experience using configuration management platforms like Ansible, Puppet, or Chef Professional certifications in cloud DevOps, such as AWS Certified DevOps Engineer or Google Cloud Professional DevOps Engineer More ❯
such as Azure, AWS or GCP Proficiency using Infrastructure as Code (IaC) tools such as Terraform (preferred), Ansible, or CloudFormation. Experience with monitoring, observability and logging tools such as DataDog, Prometheus, Grafana, or similar. Proven track record of maintaining highly-available and performant production environments. Ability to identify and implement effective mitigation strategies and operational playbooks. Useful/Bonus Skills More ❯
the equivalent with Azure and GCP Background knowledge and hands-on practice in Observability, specifically experience working with one or more of the following tools - Kibana, Open-Search, Grafana, Datadog, Sumo Logic, New Relic, AppDynamics, Dynatrace, Prometheus, Logz.io, SignalFX, Instana, Splunk, Honeycomb, Jaeger Hands-on experience with Infrastructure as a Code (Terraform/Ansible) Hands-on experience in technical integrations More ❯
the equivalent with Azure and GCP Background knowledge and hands-on practice in Observability, specifically experience working with one or more of the following tools - Kibana, Open-Search, Grafana, Datadog, Sumo Logic, New Relic, AppDynamics, Dynatrace, Prometheus, Logz.io, SignalFX, Instana, Splunk, Honeycomb, Jaeger Hands-on experience with Infrastructure as a Code (Terraform/Ansible) Hands-on experience in technical integrations More ❯
the equivalent with Azure and GCP Background knowledge and hands-on practice in Observability, specifically experience working with one or more of the following tools - Kibana, Open-Search, Grafana, Datadog, Sumologic, NewRelic, AppDynamics, Dynatrace, Prometheus, Logz.io, SignalFX, Instana, Splunk, Honeycomb, Jaeger Hands-on experience with Infrastructure as a Code (Terraform/Ansible) Hands-on experience in technical integrations (OpenTelemetry/ More ❯
. Preferred Qualifications Experience in hybrid cloud environments and integration with on-premise systems. Background in DevOps, SRE, or Infrastructure Engineering. Knowledge of monitoring/logging tools (e.g., CloudWatch, Datadog, Prometheus, ELK). Experience with enterprise security and compliance frameworks (e.g., ISO 27001, SOC 2, GDPR). Familiarity with cost modeling and optimization strategies in AWS. More ❯
Experience with Event-Driven Architecture using AWS services (SNS, SQS, EventBridge). Knowledge of GraphQL, WebSockets, or real-time data streaming. Exposure to DevOps and observability practices (e.g., Prometheus, Datadog, AWS CloudWatch, OpenTelemetry). Prior experience in leading distributed engineering teams. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy. More ❯
and other relevant tools. Security Best Practices: IAM, MFA, data encryption, firewall configurations. Programming/Scripting: Python, Terraform, or similar languages. Event-Driven Architectures: Kafka. Monitoring and Logging: Datadog, ELK Stack, Prometheus, etc. Experience in agile methodologies and DevOps practices. Location: Hybrid. Office located in London. (Hayes area). Office presence required: Yes. Frequency: 2-3 times a week at More ❯
development in general, with skills in a high-level language (e.g., Python, JavaScript, TypeScript, Java) and familiarity with modern development practices Understanding of Cloud Observability, Monitoring, and Tracing tools (Datadog, CloudWatch, Jaeger, ELK) and how best to leverage to support effective MTTR and mitigate high CFR Our UK benefits: Stock Options Annual Performance Bonus or Commissions Pension matched up to More ❯
VPC, etc. IaC: AWS CDK, Terraform, or CloudFormation CI/CD pipelines + scripting (Python, Bash, PowerShell) Containerized applications (Docker + ECS) Observability tooling like New Relic, CloudWatch, Prometheus, Datadog Who we’re looking for: Proven SRE or platform engineering experience in a high-availability environment Passion for reliability, automation, and system performance Strong problem-solving mindset and solid communication More ❯
and serverless compute options. Build and maintain CI/CD pipelines using industry-standard tools (e.g., GitHub Actions, GitLab CI, Jenkins). Implement monitoring and logging using tools like DataDog, Serilog, CloudWatch, or equivalent. Use Docker and Kubernetes for containerisation and orchestration of applications. Manage deployments with Helm and configuration in YAML. Develop shell scripts and automation for deployment and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Roc Search
and serverless compute options. Build and maintain CI/CD pipelines using industry-standard tools (e.g., GitHub Actions, GitLab CI, Jenkins). Implement monitoring and logging using tools like DataDog, Serilog, CloudWatch, or equivalent. Use Docker and Kubernetes for containerisation and orchestration of applications. Manage deployments with Helm and configuration in YAML. Develop shell scripts and automation for deployment and More ❯
discipline (e.g., AWS, Kubernetes, etc.) Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others Experience with continuous integration and continuous delivery tools like Jenkins, GitLab, or Terraform Ability to contribute to large and collaborative teams by presenting information in a logical More ❯
Familiarity with Infrastructure as Code and DevOps practices. Knowledge of Hyper-V management. Understanding of networking, security, and system administration (Linux/Windows). Experience with monitoring tools (e.g., DataDog, CloudWatch, Azure Monitor). Strong communication and collaboration skills. Responsibilities: Deploying and managing Kubernetes clusters, including networking, storage, and security. Collaborating with development and platform teams to deliver scalable, secure More ❯
DevOps practices and SRE best practices and standards and supporting implementation and adoption of these standards. Experience with using and enablement of monitoring and alerting tools and services- Dynatrace, Datadog, cloudwatch, Splunk, Grafana, Prometheus, Hands on experience of GIT, BitBucket, Jenkins, SONAR, Maven, CI/CD tools, Linux and Solaris, relational SQL and non-SQL DB technologies, streaming system – Kafka More ❯
software applications and optimizing fleet 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, or similar) - Experience operating services More ❯
GitLab CI). Write clean, production-grade code in Python (Scala is a bonus). Build infrastructure using Terraform, AWS CloudFormation, or SAM. Drive observability across the platform using Datadog or CloudWatch. Actively mentor Data Engineers and Associates, and lead technical discussions and design sessions. Key requirements: Must-Have: Strong experience with AWS services: Glue, Lambda, S3, Athena, Step Functions … operate services in production. Good to Have: Experience with Scala for data applications. Familiarity with serverless/event-driven architectures. Experience designing scalable, low-latency data services. Exposure to Datadog or CloudWatch monitoring tools. Nice to Have: Experience with LLM-powered applications or OpenAI APIs . Professional experience in a similar environment or high-scale system. Key Roles and Responsibilities More ❯
network management. Proficiency in scripting and automation (e.g., Bash, Python, PowerShell). Familiarity with CI/CD pipelines and deployment automation. Experience with environment monitoring tools (e.g., Prometheus, Nagios, Datadog). Knowledge of security best practices and compliance standards in IT environments. Excellent problem-solving, troubleshooting, and analytical skills. Strong communication skills, with the ability to collaborate across technical and More ❯
sync, order processing, and internal APIs in a multi-system e-commerce environment Understanding of architecture patterns: Microservices , SOA , Hexagonal , Modular Monolith Monitoring & Observability: Grafana , Prometheus , CloudWatch , New Relic , Datadog , etc. Solid grasp of AI trends in software development , particularly in using GPT tools and agentic systems Education: Mathematics or Computer Science degree (or equivalent experience) Desirable Skills Working knowledge More ❯
solutions Transform routine tasks through automation, dramatically improving system efficiency Optimise AWS cloud infrastructure to deliver unmatched performance, scalability, and security Leverage advanced monitoring tools including Grafana, CloudWatch, and DataDog to ensure peak system performance Troubleshoot complex cloud platform challenges across development, testing, and production environments Implement fortress-like security practices across all AWS infrastructure and services Collaborate with brilliant More ❯
