20 of 20 Permanent Datadog Jobs in Northern Ireland

CI/CD pipelines with GitLab and GitHub Actions Containerising with Docker and applying best practices for security and performance Monitoring and alerting using Datadog, Prometheus, and Grafana Debugging complex systems using tools like strace, dtrace, and beyond Supporting a tech stack that includes Rust, Python, Go, C++, Java, and More ❯

to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity : A hunger to learn and grow your skills. Problem solving: Strong analytical problem-solving skills and attention to detail. You have More ❯

monitoring and observability tools to proactively manage system health. Skills and Strengths: AWS (Amazon Web Services) Auto Scaling Fargate Route53 Observability tools (New Relic, DataDog, Splunk) Containerization (Docker, Kubernetes, Fargate) Incident Response IaC (Terraform, CloudFormation, Helm, CDK) Scripting (Ansible, Bash, Python, GO) CI/CD Primary Job Responsibilities: Design and More ❯

Pipelines and AWS including EKS Lambda and CloudFormation Infrastructure as Code and GitOps : Terraform Bicep Pulumi ArgoCD and FluxCD Observability : Prometheus Grafana OpenTelemetry and Datadog Security and Compliance : HashiCorp Vault Azure Key Vault AWS KMS OPA Gatekeeper and Drata or similar AI Coding Tools : GitHub Copilot Cursor Claude Code 📩 Interested More ❯

Systems, or related fields is desirable but not essential. Nice to have but not essential: Service monitoring and graphing tools (Prometheus + Grafana, Nagios, Datadog) Elastic Stack Repository solutions (JFrog Artifactory, JFrog Bintray) OpenVPN SQL Databases (MongoDB, PostgreSQL, MySQL) Our Values: We work together We believe in people We won More ❯

in at least one language (.Net, C#, node, java, go, c/C++, ruby). Experience with logging and monitoring tools such as ELK, DataDog or NewRelic, LogEntries, SumoLogic, etc. BENEFITS: Competitive Base Salary Employee Performance Related Bonus Clear Career Progression Flexible Working Hours Matched Employee Pension Generous Holiday Package More ❯

SOPs. Develop scripts and tools to automate infrastructure provisioning and application deployment. Implement best practices for observability and monitoring using tools like New Relic, DataDog, or Splunk. Influence design decisions to ensure scalable, secure architecture and high availability. Key Requirements: 5+ years in Site Reliability Engineering and/or DevOps More ❯

with: MongoDB , PostgreSQL , or hybrid DB architectures DevOps practices : Docker, Kubernetes, Infrastructure as Code Jest or other unit testing frameworks Monitoring and logging tools: Datadog, AWS CloudWatch Google Cloud Platform (GCP) or cloud migration experience Background in real-time media or image/video processing pipelines 🚀 Why Join PomVom? Build More ❯

testing frameworks (e.g., k6, JMeter) Familiarity with cloud-based test environments and infrastructure (AWS preferred) Working knowledge of observability and test reporting tools (e.g., Datadog, Grafana) Experience improving test data strategies and test isolation techniques Contributions to internal tooling or open-source testing frameworks Background in building out quality initiatives More ❯

of which should have focus on Observability. Excellent knowledge and hands-on experience with monitoring, logging, and tracing tools such as Prometheus, VictoriaMetrics, Grafana, Datadog, New Relic, OpenTelemetry, ELK Stack, or similar. Experience with high volume data storage (Structured and unstructured). A strong technical background, with current capabilities and More ❯

models and related infrastructure Monitoring and Observability: Build and maintain comprehensive monitoring and alerting systems for our ML infrastructure and models, leveraging tools like DataDog to ensure system health and performance Collaboration and Mentorship: Collaborate effectively with data scientists, engineers, and other stakeholders. Provide guidance and support to junior team … CD pipelines Containerization and Orchestration: Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes) Monitoring and Logging: Experience with monitoring and logging tools like DataDog, Prometheus, or Grafana Data Engineering Skills: Knowledge of event streaming platforms (e.g., Apache Kafka) and SQL database management Strong Communication and Collaboration: Excellent communication skills More ❯

cloud experience (AWS/Azure/GCP) IaC (preferably Terraform or Ansible) Python experience Linux background Interest/knowledge in cloud security Monitoring tools (DataDog, NewRelic) Operating as a remote-first company across three continents, they embrace diversity and value individual contributions. Benefits: Competitive market rate - Up to £150K Stock More ❯

get people to enjoy them) Pen-test services and infra (ethically, please). Extend security automation and monitoring with tools like CircleCI, GitHub Actions, DataDog, AWS Security Hub, etc. Harden everything from container runtimes to APIs to artifact pipelines. Write secure code, review other people’s code, and help everyone More ❯

get people to enjoy them) Pen-test services and infra (ethically, please). Extend security automation and monitoring with tools like CircleCI, GitHub Actions, DataDog, AWS Security Hub, etc. Harden everything from container runtimes to APIs to artifact pipelines. Write secure code, review other people’s code, and help everyone More ❯

GCP), and databases such as MySQL, DynamoDB, or Cassandra. Proficiency with infrastructure-as-code tools like Terraform or Pulumi, and observability tools such as Datadog or CloudWatch. Experience in implementing AI-powered tools for workflow optimization and operational improvements. Proven success in setting up scalable, SLO-driven monitoring strategies in More ❯

models, focusing on aspects like optimisation, scalability & efficiency You’ll work alongside teams that have joined from world-class tech businesses like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub and Uber Key Responsibilities Partner with customers to identify and address their ML deployment needs Implement and optimise ML solutions using Python More ❯

skills. Strong interpersonal skills. Desired Criteria Experience in working with modern CI/CD and engineering tooling - we leverage Amazon Web Services, GitHub Actions, Datadog and Terraform extensively. Experience with microservice-oriented architectures. Experience with agile methodologies. Experience with Typescript. Experience with PostgreSQL (or similar) and ORM frameworks. Why join More ❯

similar Must have experience with Kubernetes, CI/CD, and Terraform Database experience with MySQL and NoSQL Monitoring tools like Prometheous, Grafana, NewRelic, Zabbix, DataDog, or Similar Relevant Certifications like GCP Cloud Architect or similar Beneficial, but not essential: Cassandra, and Google Workspace What's in it for you More ❯

Experience implementing robust backup and recovery strategies. Desirable Proficiency with infrastructure automation tools like Terraform or CloudFormation. Familiarity with monitoring tools such as CloudWatch, Datadog, or similar. Experience of database replication tooling such as AWS DMS and Goldengate. Experience of collaborating with DevOps teams to integrate databases into CI/ More ❯

ECS and Fargate). Driving SRE best practices: SLIs/SLOs, error budgets, reducing toil, and improving observability. Using (and hopefully enjoying!) tools like Datadog, Prometheus, Grafana, and Nix to support your work. What we’re looking for: Strong experience with AWS, Terraform, Docker, and container orchestration (ECS/Fargate … . Good understanding of CI/CD pipelines and DevOps workflows. Solid grasp of SRE principles – SLIs, SLOs, error budgets, observability, etc. Familiarity with Datadog, Prometheus, Grafana, or similar tools. Experience with Nix is a plus (or curiosity to learn it). Bonus if you’ve worked with Azure, GCP More ❯