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Datadog Jobs in Ridgefield, CT (NOW HIRING)

SRE Support Engineer

Stamford, CT · On-site

$60.75 - $80.75/hr

Must have L2 Support project experience with exposure to Splunk, DataDog, AEM Analytics, AppDynamics & should be able to analyze and provide gap analysis from error/Alert logs * SRE skillset in ...

IT Operations Manager

Norwalk, CT · On-site

$101K - $134K/yr

Lead monitoring strategy (Datadog preferred); define alerting standards; partner with engineering for instrumentation * Operational Process : Coordinate across Cloud, Datacenter, EUC, Applications ...

IT Operations Manager

Norwalk, CT · On-site

$101K - $134K/yr

Lead monitoring strategy (Datadog preferred); define alerting standards; partner with engineering for instrumentation * Operational Process : Coordinate across Cloud, Datacenter, EUC, Applications ...

... g., Datadog, Prometheus/Grafana) • Understanding of market data and/or third-party feed handlers running within a low-latency co-location environment • Familiarity with Active Directory and ...

... g., Datadog, Prometheus/Grafana) • Understanding of market data and/or third-party feed handlers running within a low-latency co-location environment • Familiarity with Active Directory and ...

Hands-on experience with monitoring and alerting tools such as Datadog, PagerDuty, or equivalent platforms * Proven ability to lead high-pressure incident triage and cross-functional escalation ...

Site Reliability Engineer

Greenwich, CT · On-site

$120K - $150K/yr

Hands-on exposure to observability or monitoring tools (Datadog, Prometheus, Grafana, or similar). * Familiarity with IaC tools such asTerraformorAnsibleand GitOps workflows. * Experience with ...

Technical Operations Manager

Stamford, CT · On-site

$112K - $140K/yr

Hands-on experience with monitoring and alerting tools such as Datadog, PagerDuty, or equivalent platforms * Proven ability to lead high-pressure incident triage and cross-functional escalation ...

Experience operating observability and monitoring stacks including Datadog, AWS CloudWatch, and the Grafana ecosystem (Grafana, Loki, Prometheus) * Extensive experience with AWS core services ...

Staff Site Reliability Engineer

White Plains, NY · On-site

$59 - $78.50/hr

Expert-level command of monitoring, observability, and alerting platforms (e.g., Datadog, Prometheus, Grafana, PagerDuty) - you define what good looks like. * Deep Linux expertise - from kernel ...

Datadog information

See Ridgefield, CT salary details

$13

$21

$29

How much do datadog jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for datadog in Ridgefield, CT is $21.02, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $21.06 per hour, depending on experience, location, and employer.

What is the difference between Datadog vs Cloud Monitoring Engineer?

AspectDatadogCloud Monitoring Engineer
Primary RoleMonitoring and analytics platform for IT infrastructure and applicationsDesigning, implementing, and managing cloud monitoring solutions
Required SkillsCloud platforms, monitoring tools, scripting, API integrationCloud services, monitoring tools, scripting, troubleshooting
CertificationsCloud certifications (AWS, Azure), monitoring tools certificationsCloud certifications (AWS, Azure), monitoring certifications
Work EnvironmentUsing SaaS platform, integrating with various cloud and on-premise systemsManaging cloud infrastructure, configuring monitoring tools, troubleshooting

While both roles involve cloud monitoring, Datadog focuses on utilizing a specific SaaS platform for analytics and monitoring, whereas a Cloud Monitoring Engineer designs and manages monitoring solutions across cloud environments. The roles often overlap in skills and certifications, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a Datadog Engineer, and why are they important?

To thrive as a Datadog Engineer, you need a solid understanding of cloud infrastructure, monitoring and observability principles, and experience with scripting or programming languages. Familiarity with Datadog’s platform, API integrations, and certifications such as Datadog Certified Technical Specialist are highly valuable. Strong problem-solving skills, attention to detail, and effective communication help you proactively address system issues and collaborate with cross-functional teams. These skills ensure efficient system monitoring, rapid incident response, and reliable service performance in dynamic technology environments.

What are some common challenges faced by Datadog engineers when implementing monitoring solutions for large-scale systems?

Datadog engineers often encounter challenges such as integrating diverse technology stacks, ensuring minimal performance impact, and maintaining data accuracy across high-traffic environments. Large-scale systems can generate vast amounts of telemetry data, so configuring efficient dashboards and alerting without causing alert fatigue is vital. Collaborating closely with development, operations, and security teams is essential to tailor monitoring solutions that provide actionable insights while staying adaptable to evolving system architectures.

What is a Datadog engineer?

A Datadog engineer is a professional who specializes in implementing, configuring, and managing Datadog, a cloud-based monitoring and analytics platform. They are responsible for integrating Datadog with various systems, setting up dashboards, alerts, and metrics to monitor application performance and infrastructure health. Their work helps organizations identify issues, optimize performance, and ensure system reliability. Datadog engineers often collaborate with DevOps, IT, and development teams to provide insights and improve observability across environments.
What cities near Ridgefield, CT are hiring for Datadog jobs? Cities near Ridgefield, CT with the most Datadog job openings:
Infographic showing various Datadog job openings in Ridgefield, CT as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $43,726 per year, or $21 per hour.

$60.75 - $80.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Overview:
Relevant Experience: 5+ Years
Required Skills:
  • Experience Minimum of 5+ years of experience in software engineering.
  • Must have L2 Support project experience with exposure to Splunk, DataDog, AEM Analytics, AppDynamics & should be able to analyze and provide gap analysis from error/Alert logs
  • SRE skillset in handling UI/Infra
  • Hands-on experience with cloud platforms (AWS), especially AWS OpenAI and Cognitive Services.
  • Implement AI/AgenticAI/ML models using frameworks like ChromaDB, PyTorch, Jira, OpenAI, lanchain, streamlit, etc.
  • Strong proficiency in Python and experience with AI frameworks
  • Experience with CI/CD pipelines, modular software design, and testing.

Good to Have Skills: Familiarity with front-end technologies (Angular, JavaScript/TypeScript, HTML) is a plus.