Datadog Developer

Avance Consulting; England; On-site; GBP 90,000 - 130,000; Full time

Job summary

Avance Consulting is seeking a Senior Datadog Platform Engineer to design and implement observability solutions across cloud and container environments. You will embed Datadog and OpenTelemetry into applications, partner with developers for observability by design, and drive best practices across teams.

The role emphasizes hands-on platform engineering, cloud and Kubernetes observability, and collaboration with UK-based stakeholders in onsite workshops and design sessions.

Qualifications

• Proven Datadog expertise across APM, Infra, Logs, RUM, Synthetics, dashboards and monitors.
• Strong programming experience in Java, Python, .NET or Node.js.
• Experience with OpenTelemetry and distributed tracing.
• Understanding of cloud-native architectures and microservices.

Responsibilities

• Design and implement end-to-end observability solutions using Datadog across metrics, logs, traces, RUM, synthetics, and events.
• Develop and maintain custom dashboards, service maps, and KPI-aligned views.
• Configure alerts, monitors, and SLOs/SLIs for actionable alerting.
• Embed Datadog APM, OpenTelemetry and custom instrumentation into applications.
• Drive Datadog best practices across application and platform teams.
• Implement Datadog monitoring for cloud platforms (AWS/Azure/GCP) and Kubernetes environments.
• Build automation for onboarding and configuration using Python, REST APIs, Terraform, and CI/CD tools.
• Support post-incident reviews and continuous improvement actions.
• Act as the Datadog technical lead for UK-based stakeholders and client teams.

Skills

Datadog expertise

Java

Python

.NET

Node.js

OpenTelemetry

Cloud-native design

CI/CD

Git

SRE practices

Tools

Kubernetes

Terraform

Datadog

Job description

Your responsibilities:

Datadog Platform Engineering

Design and implement end-to-end observability solutions using Datadog across metrics, logs, traces, RUM, synthetics, and events.

Develop and maintain custom dashboards, service maps, and business journey views aligned to application and business KPIs.

Configure and optimize alerts, monitors, and SLOs/SLIs to ensure actionable and noise-free alerting.

Drive Datadog best practices adoption across application and platform teams.

Developer Enablement & Instrumentation

Embed Datadog APM, OpenTelemetry, and custom instrumentation into applications (Java, .NET, Python, Node.js, etc.).

Partner with developers to ensure observability-by-design during development, testing, and release cycles.

Develop reusable instrumentation libraries, tagging standards, and data models.

Support shift-left observability across CI/CD pipelines.

Cloud & Container Observability

Implement Datadog monitoring for cloud platforms (AWS / Azure / GCP) including services, networking, and security signals.

Enable deep observability for containerized and Kubernetes environments (EKS/AKS/GKE, OpenShift).

Optimize telemetry ingestion, sampling, and cost management.

Automation & Integration

Build automation using Python, REST APIs, Terraform, or CI/CD tools for Datadog onboarding and configuration.

Integrate Datadog with ITSM, incident management, and collaboration tools (e.g., ServiceNow, PagerDuty).

Support automated incident detection, enrichment, and diagnostics.

Performance & Reliability Engineering

Perform performance analysis and root cause investigations using Datadog telemetry.

Support capacity planning, resilience testing, and reliability improvements.

Participate in post-incident reviews and drive continuous improvement actions.

Stakeholder & Onsite Responsibilities

Act as the Datadog technical face-off for UK-based stakeholders and client teams.

Collaborate with application owners, architects, and SRE teams in onsite workshops and design sessions.

Provide guidance, documentation, and knowledge transfer to client teams.

Essential skills/knowledge/experience:

Strong hands-on experience with Datadog (APM, Infra, Logs, RUM, Synthetics, Dashboards, Monitors).

Solid programming experience in Java, Python, .NET, Node.js, or similar languages.

Experience with OpenTelemetry and distributed tracing.

Strong understanding of cloud-native architectures and microservices.

Hands-on experience with Kubernetes and container observability.

Working knowledge of CI/CD pipelines, Git, and DevOps practices.

Experience

6–10+ years of experience in software engineering, SRE, or observability roles.

Proven experience delivering observability solutions in large enterprise or BFSI environments.

Experience working in onsite / client-facing roles, preferably in the UK or Europe.

Soft Skills

Strong problem-solving and analytical skills.

Ability to communicate complex technical concepts clearly to diverse stakeholders.

Comfortable working across development, operations, and business teams.

Desirable skills/knowledge/experience:

Datadog certifications.

Experience replacing or consolidating tools like AppDynamics, Dynatrace, ELK, or New Relic with Datadog (a pattern seen across your internal case studies).

Exposure to AIOps, event correlation, or SRE practices.

Prior BFSI client experience in the UK.