1 to 25 of 30 Datadog Jobs in the City of London

. Strong scripting skills in Python , Bash , or similar. Familiarity with Linux administration , networking, and system security. Experience with monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog). Desirable Skills Exposure to infrastructure security best practices (e.g., CIS Benchmarks, AWS Well-Architected Framework). Knowledge of configuration management (Ansible, Chef, or Puppet). Experience with serverless architectures More ❯

Lambda, DynamoDB). Drive automation across CI/CD pipelines using tools like GitHub Actions , Terraform , and Argo CD for seamless and secure deployments. Enhance observability using Prometheus , Grafana , Datadog , and CloudWatch , enabling proactive incident prevention. Own incident management and post-mortem practices — guiding the team through challenges calmly and driving meaningful improvement. Collaborate with global engineering and product teams More ❯

or Windows administration, with the ability to architect secure, performant, and highly available cloud solutions. Proficiency with monitoring and log analytics tools such as AWS CloudWatch, ELK Stack, Prometheus, Datadog, or New Relic, to maintain observability and ensure operational excellence. Demonstrated leadership skills in managing complex, high-pressure situations and guiding teams through incident resolution. Exceptional communication and presentation skills More ❯

platforms (GCP, AWS, or Azure), containerization, CI/CD, and infrastructure-as-code Docker; Kubernetes (EKS, GKE, AKS); Jenkins, GitLab CI, or GitHub Actions; Terraform or CloudFormation; Prometheus, Grafana, Datadog, or New Relic; Slurm, Torque, LSF; MPI; Hadoop or Spark;Director of In Experience with high-performance computing, distributed systems, and observability tools Strong communication and executive presence, with the More ❯

Route53, S3, EC2, ECS, VPC, IAM, DynamoDB, CloudFront . Infrastructure as Code (IaC) using Terraform or CloudFormation. Experience with Jenkins, Git (Gitflow), Docker, and monitoring tools like CloudWatch or DataDog . The Offer: Initial 6-month contract with a high likelihood of extension. A key role in a high-profile, innovative project at the forefront of cloud and AI technology. More ❯

design (REST, GraphQL) Experience with containerization (Docker, Kubernetes) and cloud-native development patterns DevOps & SRE Practices Experience implementing CI/CD pipelines and DevOps methodologies Knowledge of infrastructure monitoring (Datadog), log aggregation, and incident management Understanding of SLO/SLA definition and observability best practices Strategic & Business Acumen Ability to align technical initiatives with business objectives and articulate ROI Experience More ❯

based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the core AWS services: i.e. EC2/ECS, RDS, S3 Experience using DataDog or similar observability tools Knowledge of containerisation: Docker, Kubernetes, AWS Fargate etc Any experience of front-end or fullstack development using TypeScript & React Experience building software for financial services and More ❯

Your expertise will ensure seamless, reliable, and secure experiences for customers. Hands-on experience with AWS services (ECS, S3, RDS, Lambda, CloudFront, etc.). Proficiency with monitoring tools like DataDog, CloudWatch, and Grafana. Experience with Docker, ECS, Kubernetes, or similar containerisation technologies. Knowledge of scripting languages such as Bash, Python, NodeJS. Familiarity with Infrastructure as Code (IaC) tools like Terraform More ❯

pipelines through tools such as Azure DevOps, GitHub Actions, or Octopus. You’ll also be adept at automating workflows in Python or PowerShell and implementing modern observability solutions including DataDog, OpenSearch, and LogicMonitor. This is a rare opportunity to join a high-performing, global hedge fund where technology and engineering directly drive investment performance and operational scale. To ensure the More ❯

Familiarity with testing frameworks (Vitest, Playwright) for both API and end-to-end testing. Experience with Docker, Helm, YAML, Kubernetes, and cloud-native deployments. Telemetry tools; Prometheus, Grafana, OpenTelemetry, DataDog, APM tools Understanding of infrastructure-as-code and CI/CD pipelines. Ability to improve codebases and influence architectural direction. Please send updated CV quoting availability and outside IR35 day More ❯

monitoring. Design and execute load, stress, endurance, and failover tests using industry-standard tools such as JMeter, LoadRunner, or ADS. Set up observability dashboards (Grafana, Splunk, Dynatrace, Kibana, or Datadog) to monitor test execution and system performance. Analyse results to identify performance bottlenecks, system vulnerabilities, and areas for optimisation. Report findings and recommendations clearly to both technical and non-technical More ❯

and fix any issues with Jenkins pipelines used for CI/CD. Implement/Deploy AWS in large, regulated enterprise environment Monitor the IT estate using tools such as Datadog/CloudWatch and proactively react to alerts, Perform patch management of the estate using tools including RedHat Satellite and Ansible Remediate any security vulnerabilities within a timely manner. Participate in More ❯

Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent). Understanding of ML concepts. You don't need to train models, but you should speak the language of Research Engineers and understand their constraints. A mindset that More ❯

with Docker and Kubernetes Strong Infrastructure as Code experience with Terraform History of working across CI/CD pipelines Monitoring and Observability experience with Prometheus, Grafana, and/or DataDog Prior experience overseeing Change and Incident Management processes Previous work in an Architectural capacity is also a massive bonus This position is open to Lead level Engineers, able to offer More ❯

processes. Support automation of testing, monitoring, and deployment pipelines. Essential Skills & Experience Strong DevOps engineering background with cross-functional collaboration experience. Hands-on expertise with observability platforms such as Datadog or Splunk . Solid knowledge of CI/CD, Terraform, CloudFormation , and automation frameworks. Understanding of SLIs, SLOs, error budgets , and reliability governance practices. Ability to turn technical signals into More ❯

and applications Cloud networking and security fundamentals Collaboration and communication skills Highly adaptable to changes in a technical environment Desirable Experience using monitoring and observer ability toolsets inc. Splunk, Datadog Experience using Github Actions Experience using AWS RDS/SQL based solutions Experience using containerization in AWS Working data warehouse knowledge Redshift and Snowflake preferred Working with IaC – Terraform and More ❯

team leverages a modern and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every tool listed, but should be enthusiastic about learning and More ❯

intermediate to advanced SQL queries for data extraction and troubleshooting purposes. Experience with using and troubleshooting programming interfaces especially REST APIs and Web Sockets. Experience with monitoring tools (Grafana, DataDog) Experience working with Crypto and blockchain (DLT) Familiarity with common engineering development workflows and tools (e.g. JIRA, Confluences, github, scrum, etc...) Familiarly with scaling, monitoring, and general production challenges of More ❯

additional experience using T-SQL and Bash. Infrastructure & Systems: Exposure to Linux and Windows environments, with working knowledge of Docker containers and AWS cloud services. Monitoring & Observability: Familiarity with DataDog, Grafana, and other internal or custom monitoring solutions. Automation & CI/CD: Experience using Git, TeamCity, and configuration management tools such as Ansible or Terraform. Databases: Hands-on experience with More ❯

CD pipelines via Azure DevOps or GitHub Actions, troubleshoot builds, and manage YAML configurations. Implement observability best practices using Azure Monitor, Log Analytics, Application Insights, and dashboards (KQL and Datadog experience desirable). Ensure compliance and security through Microsoft Defender for Cloud, Azure Policy, Key Vault, and accepted frameworks (ISO 27001, SOC 2, GDPR). Conduct backup and disaster recovery More ❯

Familiarity with CI/CD practices and Infrastructure-as-Code tools (Terraform, CloudFormation, or similar). Experience setting up alerting, logging, and monitoring for data pipelines (e.g., using CloudWatch, Datadog). Comfortable collaborating with data scientists and analysts to productionise models or build reusable data assets. A track record of automating manual processes and designing systems to scale with growing More ❯

Familiarity with infrastructure automation and configuration management tools (Chef, Puppet, or Ansible) Exposure to distributed storage systems and related protocols Experience with observability and monitoring tools (Elasticsearch, Logstash, Kibana, Datadog, Prometheus, Grafana) Strong written and verbal communication skills Demonstrated ability to learn quickly and adapt to evolving technologies Ability to work effectively in a fast-paced, collaborative environment jhayne@hunterbond.com More ❯

call rota and contribution to a follow-the-sun model. Key Requirements: TechOps/Production Engineering/SRE experience supportingequitiesplatforms. Tooling exposure: Kubernetes/containers, CI/CD, Terraform, Datadog/Prometheus/Splunk/Geneos. Practical understanding of market microstructure, exchange connectivity, and TCA/controls. Composed, commercially aware communicator with traders and senior leadership. Package & set-up Competitive More ❯

Haves Experience with test automation frameworks (Playwright, Cypress, pytest) Background in customer support or success roles with technical depth Exposure to cloud infrastructure (GCP/AWS), monitoring tools (Sentry, Datadog), or CI/CD pipelines Familiarity with SaaS analytics products , dashboards, or data visualization Prior work at fast-moving startups where you wore multiple hats What Won't Work Need More ❯

Ready to build the high-performance logic powering next-generation logistics? Join Reelables and architect the core back-end services that process and serve data for millions of smart labels worldwide! This isn't just back-end development – you're More ❯