23 of 23 Datadog Jobs in the City of London

with cloud platforms such as AWS, Azure, or GCP Manage infrastructure as code using tools like Terraform Monitor and maintain production systems using tools such as Prometheus, Grafana, or Datadog Collaborate with development and QA teams to improve deployment processes and system reliability Contribute to incident response, troubleshooting, and root cause analysis Requirements Approximately 18 months of experience in a 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 ❯

from on-premises to cloud environments. Understanding of cloud security best practices and encryption. Certifications in Azure or other cloud platforms. Use of observability and logging platforms such as DataDog , App Insights , or Splunk. Experience with AKS (Azure Kubernetes Service) and infrastructure as code (e.g., Terraform, Bicep, ARM templates). Development background (.NET/C#, SQL) is a bonus. More ❯

DevOps Engineer About Tecknuovo We are a technology delivery partner, offering a unique service in the undiscovered sweet spot between consultancy and capability development. There’s a better way to deliver consulting services. We do that by freeing our customers 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 ❯

experience with CI/CD pipelines and container technologies like Docker and Kubernetes. Deep understanding of networking, distributed systems, and databases. Expertise in monitoring and observability tools such as DataDog, Prometheus, Grafana, ELK stack, or Splunk. Excellent communication skills and a meticulous approach to problem-solving. Desirable Experience: Familiarity with Azure. Experience working in the autonomous vehicle sector. Exposure to More ❯

major transformation programme. This role goes beyond traditional SRE – you’ll champion best practices across product teams, drive observability strategy, and work hands-on with cutting-edge tools like Datadog and AWS. Key Responsibilities: Lead the SRE function and promote observability-first thinking across development and operations teams. Define and implement the observability roadmap across product domains in collaboration with … the client. Be hands-on with Datadog for infrastructure and application-level monitoring. Guide and review daily operations and improvements across observability platforms. Partner with engineering squads to deliver on observability requirements in an agile, demand-led way. Core Skills & Experience: Proven experience as a hands-on SRE Engineer. Deep understanding of observability and monitoring practices. Practical experience with Datadog More ❯

working in a hybrid team environment (3 days a week onsite in London) Experience with Terraform, Kubernetes, or CI/CD pipelines Familiarity with observability tooling (e.g. Prometheus, Grafana, Datadog) Experience mentoring or leading other engineers 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. More ❯

Environment Cloud: Microsoft Azure (AKS, Azure DevOps, storage, networking) Languages: Java (API/tooling), Bash, YAML, Go (optional) CI/CD: GitHub Actions, Argo CD, Terraform, Concourse (legacy) Observability: Datadog, custom metrics ingestion Source Control: GitHub Enterprise Orchestration: Kubernetes (Helm-based), Argo CD, Terraform What You’ll Bring: Deep experience designing and maintaining Azure-based infrastructure at scale. Solid engineering More ❯

Flink, Snowflake, ClickHouse, Neo4j, vector databases Backend: FastAPI, GraphQL, microservices, Docker, Kubernetes Frontend: React/Next.js, TypeScript, real-time dashboards, mobile apps Cloud: AWS/Azure multi-cloud, Terraform, DataDog monitoring Fintech: QuantLib, Bloomberg APIs, regulatory reporting systems 💼 What You'll Own Technical Leadership Define and execute the overall technology strategy and architecture Build and lead a world-class engineering 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 ❯

Key Responsibilities: Design and develop software tools for intelligence collection and analysis. Create systems to analyze cryptocurrency behavior on both the clear and dark web. Implement observability tools (e.g., DataDog) to monitor and resolve issues. Mentor team members and promote engineering best practices. Contribute to the team’s technical strategy and decision-making. Ideal Candidate: Passionate about cryptocurrencies and blockchain More ❯

InfoSec team to maintain security best practices. Containerisation & Orchestration: Deploy and manage containerised applications using Docker and other orchestration tools. Observability & Monitoring: Provision and maintain observability platforms such as DataDog, Splunk, or New Relic to gain monitoring and performance insights. Incident Management: Establish and oversee monitoring and incident management processes to ensure system reliability. Site Reliability Engineering (SRE): Perform SRE More ❯

Software Developer – Platform Storage 📍 London | Hybrid | Permanent 💰 Exceptional Compensation + Bonus + Benefits We’re supporting a global investment firm in hiring an experienced Software Developer to join their Platform Storage team (Golang focused) - a core part of their infrastructure More ❯

.NET or Python environments Experience operating and supporting bespoke trading platforms Commercial experience deploying applications into AKS clusters Experience operating one or more of Kafka, Redis, Atlassian Suite, Elastic, Datadog etc. Sponsorship cannot be offered for this role. Apply below with an up to date CV below to set up an initial call. More ❯

building, and scaling data-intensive systems. Ideally they would also have good knowledge of: Containerisation (Kubernetes) Relational Databases (PostgreSQL, SQL) Data Warehousing (Snowflake, RDS) Cloud (AWS) IaC (Terraform) Monitoring (Datadog) In return they would be offering: An employee equity incentive scheme Flexible/Remote working 25 days’ holiday (+bday off + option to buy or sell an additional five days More ❯

number of projects. The ideal candidates will have a skillset to include the following. Background PHP Solid Design Principles - TDD, BDD Symfony Restful API Microservices MySQL Docker Containers AWS DataDog Cloud These roles will be working in one of the most talented software engineering teams around and will offer the chance to move into a tech lead position very quickly. More ❯

number of projects. The ideal candidates will have a skillset to include the following. Background PHP Solid Design Principles - TDD, BDD Symfony Restful API Microservices MySQL Docker Containers AWS DataDog Cloud These roles will be working in one of the most talented software engineering teams around and will offer the chance to move into a tech lead position very quickly. More ❯

ClaimCenter and other systems, including PAS, document management systems, and external data providers. Platform Monitoring : Determine requirements for specific alerts, set up alerts for various events and thresholds, utilise Datadog logs and dashboards for error analysis, and track DXC downtime while communicating updates to users. Platform Updates : Conduct a 3-way merge of updated code, validate new versions, and implement More ❯

implementing SRE principles in the organization such as SLOs/SLIs and TOIL measurement Implement best practices for building successful monitoring and alerting systems. Experience with Observability platforms like Datadog and open telemetry is desired. You will work closely with engineering/development teams to design, build, and maintain systems and help them decide on products to use, schema design More ❯

with the team to identify edge cases and ambiguities in model behavior. Required Skills 7+ years of professional software engineering experience, ideally at top-tier product companies (e.g., Stripe, Datadog, Snowflake, Dropbox, Canva, Shopify,Intuit,PayPal, Research at IBM/GE/Honewell/Scheinder etc. ). Strong fundamentals in software design, coding best practices, and debugging. Excellent ability to More ❯

filers) to solve critical needs with our product. W e are backed by Tier 1 VCs and Angel Investors, including Index Ventures , co-founders of Hugging Face, CEO of Datadog, and product experts from DeepMind and OpenAI. We are now growing the team to reach our ambitions. We hire the best and reward accordingly. Compensation & Equity : We offer competitive compensation More ❯