16 of 16 Remote Datadog Jobs in Central London

Kubernetes/EKS). · Skilled in scripting languages such as Python, Bash, PowerShell, or TypeScript. · Solid understanding of Linux, Windows, and storage systems. · Experience with monitoring and observability tools (Datadog, CloudWatch, Azure Monitor, Coralogix). · Familiarity with DevOps and Site Reliability Engineering (SRE) principles. · Knowledge of networking and cloud security best practices. · Experience with Databricks is a plus. · Excellent problem More ❯

Kubernetes/EKS). · Skilled in scripting languages such as Python, Bash, PowerShell, or TypeScript. · Solid understanding of Linux, Windows, and storage systems. · Experience with monitoring and observability tools (Datadog, CloudWatch, Azure Monitor, Coralogix). · Familiarity with DevOps and Site Reliability Engineering (SRE) principles. · Knowledge of networking and cloud security best practices. · Experience with Databricks is a plus. · Excellent problem More ❯

and pipeline creation (e.g., Jenkins, GitHub Actions). Infrastructure as Code tools (Terraform), configuration management (Ansible preferred). Aurora/RDS MySQL (including replication). Monitoring/logging tools (Datadog, Sumo Logic, etc.). Security best practices (server hardening, 2FA, secure data storage). Solid understanding of networking concepts: routing, gateways, DNS. Desired Skills Experience with CouchDB, Redis, Memcached. Knowledge More ❯

practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re Looking For Strong programming background (Java or TypeScript preferred) Experience designing scalable, resilient cloud infrastructure Familiarity with event-driven systems and Kafka More ❯

practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re Looking For Strong programming background (Java or TypeScript preferred) Experience designing scalable, resilient cloud infrastructure Familiarity with event-driven systems and Kafka More ❯

API development and integration (Go preferred but not essential) Familiarity with JavaScript front-end frameworks , HTML5, and CSS3 Understanding of asynchronous programming models Knowledge of monitoring tools (ELK, Nagios, DataDog, Splunk, New Relic) Experience with Atlassian Toolset (Jira, Confluence, etc.) Understanding of databases and query languages Awareness of identity and access management technologies (ADFS, OIDC, OAuth2, Keycloak, Red Hat SSO More ❯

API development and integration (Go preferred but not essential) Familiarity with JavaScript front-end frameworks , HTML5, and CSS3 Understanding of asynchronous programming models Knowledge of monitoring tools (ELK, Nagios, DataDog, Splunk, New Relic) Experience with Atlassian Toolset (Jira, Confluence, etc.) Understanding of databases and query languages Awareness of identity and access management technologies (ADFS, OIDC, OAuth2, Keycloak, Red Hat SSO More ❯

achieve optimal outcomes with their 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, open-source tools & infrastructure Collaborate More ❯

service development Experience with distributed messaging systems like Kafka Knowledge of AWS, Terraform, and cloud infrastructure operations Familiarity with Temporal for orchestrating complex workflows Experience with observability tools like Datadog for monitoring systems at scale Experience operating data-intensive applications in production environments BENEFITS Remote-Friendly: Work remotely, or join us in our office in Hoxton, London Equity Options: Share More ❯

systems/infrastructure engineering role Strong scripting skills in Python , Bash , or Ruby Familiarity with configuration management tools (Ansible, Puppet, or Chef) Interest or exposure to observability tools like Datadog , Prometheus , or Grafana A passion for learning and improving in high-performance environments This is a rare chance to learn from elite engineers and contribute directly to a platform supporting More ❯

systems/infrastructure engineering role Strong scripting skills in Python , Bash , or Ruby Familiarity with configuration management tools (Ansible, Puppet, or Chef) Interest or exposure to observability tools like Datadog , Prometheus , or Grafana A passion for learning and improving in high-performance environments This is a rare chance to learn from elite engineers and contribute directly to a platform supporting More ❯

for evaluation decisions. Required Skills & Experience Several years of software engineering experience , including 1 + continuous years at top-tier product companies (e.g., Google, Stripe, Amazon, Apple, Meta, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in full-stack application development and deploying scalable, production-grade software. Deep understanding of software architecture, debugging, and code quality assessment . More ❯

for evaluation decisions. Required Skills & Experience Several years of software engineering experience , including 1 + continuous years at top-tier product companies (e.g., Google, Stripe, Amazon, Apple, Meta, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in full-stack application development and deploying scalable, production-grade software. Deep understanding of software architecture, debugging, and code quality assessment . More ❯

for evaluation decisions. Required Skills & Experience Several years of software engineering experience , including 1 + continuous years at top-tier product companies (e.g., Google, Stripe, Amazon, Apple, Meta, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in full-stack application development and deploying scalable, production-grade software. Deep understanding of software architecture, debugging, and code quality assessment . More ❯

Platform Engineer 📍 UK Remote | 💻 AWS, CDK, Lambda, Datadog | 🏥 IVC Evidensia At IVC Evidensia, we’re combining our industry-leading veterinary services with modern technology to build resilient, scalable platforms that support better care. We're now hiring a Platform Engineer (DevOps) to help unify our infrastructure practices across Europe and empower teams to deliver quality software at speed. Who We … thrives in collaborative, agile environments and loves solving infrastructure problems at scale. Strong experience with AWS in production environments Proficiency with Infrastructure as Code (AWS CDK preferred) Experience with Datadog for monitoring and observability Familiarity with AWS CloudWatch and other native monitoring/logging tools A track record of building or maintaining CI/CD pipelines A proactive, team-oriented More ❯

Platform Engineering Manager 📍 UK Remote | 💻 AWS, CDK, Lambda, Datadog | 🏥 IVC Evidensia At IVC Evidensia, we’re combining our industry-leading veterinary services with modern technology to build resilient, scalable platforms that support better care. We're now hiring a Platform Engineering Manager to lead and grow our platform engineering team, helping unify our infrastructure practices across Europe and empowering teams … practices in automation, observability, and platform-as-a-product thinking Collaborate closely with engineering, security, and product leaders to align platform capabilities with business needs Champion operational excellence using Datadog and AWS monitoring/logging tools What You’ll Bring 🔧 We’re looking for a leader who combines strong technical knowledge with a people-first mindset. Proven experience leading or … on experience with AWS in production environments Proficiency with Infrastructure as Code (AWS CDK preferred) Solid background with CI/CD practices and tooling (ideally AWS-native) Experience with Datadog and AWS CloudWatch/native monitoring tools Excellent communication and collaboration skills, able to influence at both technical and business levels A coaching mindset, with a passion for developing people More ❯