Site Reliability Engineer - Datadog Observability

Key Responsibilities

SRE Implementation & Reliability Engineering

• Drive

  end-to-end SRE strategy and implementation

  , ensuring systems meet reliability, scalability, and performance objectives.
• Establish and enforce SRE best practices including

  SLIs, SLOs, SLAs

  , error budgets, incident response processes, and postmortems.
• Lead efforts to automate repetitive operational tasks and improve engineering efficiency.
  

Datadog Observability Engineering

• Architect, configure, and manage

  Datadog Observability

  components including:
• Dashboards & visualizations
  
• APM (Application Performance Monitoring)
  
• Log Management & Log Pipelines
  
• Synthetic Monitoring
  
• Metrics & Traces
  
• Alerts & Monitors
  
• Configure and optimize Datadog for

  proactive outage prevention

  and early detection of infrastructure or application issues.
• Use

  Datadog Roles API

  to create and manage:
• User roles
  
• Team-based access permissions
  
• Security and governance controls
  
• Provide leadership in designing observability standards, governance, and best practices across teams.
  

Operational Excellence & Incident Management

• Collaborate closely with engineering, product, and business teams to:
  
• Identify observability gaps
  
• Design and implement monitoring solutions
  
• Improve system reliability and operational readiness
  
• Lead incident triage, root-cause analysis, and ensure timely recovery of services.
  
• Support critical Financial

  Month-End, Quarter-End, and Year-End

  closure operations.

Automation & Tooling

• Build automation for:
  
• Alerting workflows
  
• Ticket creation
  
• Incident response orchestration
  
• Monitoring configuration at scale
  
• Integrate observability tooling with CI/CD pipelines and DevOps processes.
  
• Leverage

  Datadog AI

  and anomaly detection features to improve proactive monitoring.

Collaboration & Leadership

• Act as a technical leader for observability, reliability engineering, and monitoring best practices.
  
• Partner with cross-functional teams across engineering, cloud, QA, and business functions.
  
• Enable teams with training and documentation to adopt observability solutions effectively.
  
• Communicate insights, risks, and recommendations to senior leadership in a clear and actionable manner.
  

Required Skills & Experience

• 8+ years

  of experience in Site Reliability Engineering, Observability, or Infrastructure Operations.

• Minimum 3+ years

  hands-on experience with

  Datadog

  , including:
• Dashboards
  
• APM
  
• Alerts/Monitors
  
• Log Management
  
• Roles API
  
• Metric/tracing instrumentation
  
• Strong background in SRE fundamentals:
  
• Incident management & runbooks
  
• On-call operations
  
• Automation & reliability metrics
  
• Postmortem documentation
  
• Ability to work effectively in fast-paced, large-scale production support environments.
  
• Strong analytical, problem-solving, and troubleshooting skills.
  
• Excellent communication and stakeholder management, with proven ability to work with business, IT, and engineering teams.
  

Preferred Qualifications

• Datadog certification or certification in similar observability platforms (New Relic, Dynatrace, Splunk, etc.).
  
• Experience with

  AWS, Azure, or OCI

  cloud environments.
• Familiarity with CI/CD pipelines and automation frameworks (Jenkins, GitHub Actions, Azure DevOps, etc.).
  
• Exposure to

  ITIL

  processes, production support frameworks, and enterprise monitoring standards.