ZipRecruiter

Log In

2

Remote Observability Engineer Jobs (NOW HIRING)

Keeper Security

Information Security Engineer

This is a 100% remote position, with an opportunity to work a hybrid schedule for candidates based ... You will work closely with our Observability Engineering team to leverage telemetry for ...

Grafana Labs

Observability Architect | EST | Remote

OR · Remote

$63 - $83/hr

As an Observability Architect, you will be the technical owner of long-term customer success. You ... You'll build strategic relationships with engineers, SREs, and architects-ensuring Grafana ...

next page

Showing results 1-20

All JobsObservability Engineer JobsRemote Observability Engineer Jobs

Remote Observability Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do remote observability engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for remote observability engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What are the typical collaboration patterns for a Remote Observability Engineer working with distributed teams?

Remote Observability Engineers frequently collaborate with software developers, DevOps teams, and IT operations to ensure systems are monitored effectively and issues are detected early. Working remotely, you'll often use communication tools like Slack, Jira, and video conferencing to coordinate incident response, discuss monitoring strategies, and review system health dashboards. Regular sync meetings and asynchronous updates are common, and you'll likely contribute to documentation and knowledge sharing to keep all stakeholders informed. Building strong communication habits is important, as much of the troubleshooting and improvement work hinges on clear coordination with multiple teams.

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

To thrive as a Remote Observability Engineer, you need strong expertise in monitoring, logging, and tracing systems, along with a background in computer science or related technical fields. Familiarity with tools like Prometheus, Grafana, ELK Stack, Datadog, and cloud platforms is typically required, as well as relevant certifications such as AWS Certified Cloud Practitioner or Google Cloud Professional DevOps Engineer. Excellent problem-solving abilities, communication skills, and a proactive mindset help you detect and resolve issues before they impact users. These competencies ensure system reliability, enable rapid incident response, and support seamless collaboration in distributed environments.

What is the difference between Remote Observability Engineer vs Site Reliability Engineer?

AspectRemote Observability EngineerSite Reliability Engineer
CredentialsKnowledge of monitoring tools, scripting, cloud platformsSame as Observability Engineer, plus SRE certifications often preferred
Work EnvironmentFocus on monitoring, logging, and tracing systems remotelyBroader scope including system reliability, incident response, and automation
Industry UsagePrimarily in tech, SaaS, cloud servicesWidely in tech, finance, and large-scale online services

The Remote Observability Engineer specializes in monitoring and analyzing system performance remotely, focusing on tools like logs and metrics. In contrast, the Site Reliability Engineer has a broader role, ensuring overall system reliability, automation, and incident management. While both roles require similar technical skills, SREs often have additional responsibilities related to system resilience and scalability.

What is a Remote Observability Engineer?

A Remote Observability Engineer is a professional responsible for designing, implementing, and maintaining systems that monitor the health, performance, and reliability of software applications and infrastructure from a remote location. They use observability tools to collect and analyze logs, metrics, and traces, helping organizations quickly detect and resolve issues. Their work ensures that distributed systems are transparent, reliable, and efficient, often collaborating with development, operations, and security teams. Remote Observability Engineers often work from anywhere, leveraging cloud-based tools and platforms to manage complex IT environments.
More about Remote Observability Engineer jobs
What cities are hiring for Remote Observability Engineer jobs? Cities with the most Remote Observability Engineer job openings:
What are the most commonly searched types of Observability Engineer jobs? The most popular types of Observability Engineer jobs are:
What states have the most Remote Observability Engineer jobs? States with the most job openings for Remote Observability Engineer jobs include:
What job categories do people searching Remote Observability Engineer jobs look for? The top searched job categories for Remote Observability Engineer jobs are:
Remote Observability Engineer jobs near you
Infographic showing various Remote Observability Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Infrastructure Engineer (Observability)

Infrastructure Engineer (Observability)

Lightning AI

New York, NY • On-site, Remote

$117K - $154K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

Who We Are
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems-designed to take ideas from research to production with less friction.
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
What We're Looking For
Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.
In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You'll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.
You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.
We're flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.
What You'll Do
Observability Platform & Productization
  • Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
  • Drive the productization of observability capabilities for both internal teams and external customers
  • Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
  • Continuously improve observability systems to keep pace with rapid infrastructure buildouts
Telemetry & Data Pipelines
  • Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
  • Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
  • Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar
Alerting, Reliability & Insights
  • Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
  • Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
  • Build automated insights and enable proactive detection, forecasting, and system health visibility at scale
Systems & Infrastructure Engineering
  • Contribute to broader infrastructure engineering projects beyond observability
  • Partner with infrastructure and platform teams to embed observability into core systems and workflows
  • Support large-scale, distributed systems across compute, networking, and storage environments
Cross-Functional Collaboration
  • Work closely with customer-facing teams to deliver external observability experiences
  • Collaborate with engineering, operations, and support teams to improve system transparency and reliability
  • Help define best practices for observability across the organization
What You'll Need
Required Qualifications
  • 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
  • Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
  • Experience building and operating observability platforms at scale
  • Proficiency in Python, Go, or bash for automation and data integration
  • Familiarity with containerized environments and Kubernetes observability
  • Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
  • Experience with multi-tenant monitoring architectures
  • Strong written and verbal communication skills
Ideal Experience
  • Experience with GPU observability, particularly NVIDIA DCGM
  • Experience monitoring large-scale GPU or HPC clusters
  • Familiarity with InfiniBand fabric observability
  • Experience building customer-facing or productized infrastructure systems
  • Experience with correlation engines, RCA workflows, or predictive alerting systems
  • Broad exposure to infrastructure domains including networking, storage, and provisioning

Compensation
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.
The anticipated annual base salary range for this role is:
$180,000-$200,000 USD
Benefits and Perks
We offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success. Benefits may vary by location, team, and role.
Benefits include:
  • Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
  • Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
  • Generous paid time off, plus holidays
  • Paid parental leave
  • Professional development support
  • Wellness and work-from-home stipends
  • Flexible work environment

At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Apply