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Remote Observability Engineer Jobs (NOW HIRING)

We are looking for a Software Engineer to join our Observability team. Vercel users rely on ... If you're located beyond that distance, the role is fully remote. For location-specific details ...

We are looking for a Software Engineer to join our Observability team. Vercel users rely on ... If you're located beyond that distance, the role is fully remote. For location-specific details ...

Security Engineer

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

About the Role We are seeking a Software Engineer, Security Observability to join our Security team ... This role is open to remote employees, or relocation assistance is available to one of our OpenAI ...

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Remote Observability Engineer information

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$38K

$115.9K

$191.5K

How much do remote observability engineer jobs pay per year?

As of Aug 13, 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:

Infographic showing various Remote Observability Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Staff Software Engineer, Observability

Pinterest

San Francisco, CA โ€ข On-site, Remote

Full-time

Re-posted 18 days ago


Job description

We're seeking an exceptional Staff Software Engineer to join our Observability team at Pinterest. This role combines deep technical expertise in distributed systems and data engineering with a product-oriented mindset to build world-class observability solutions that empower our engineering organization.ย As a Staff Engineer on the Observability team, you'll be responsible for designing and building the infrastructure and tools that provide visibility into Pinterest's large-scale distributed systems, helping thousands of engineers understand, debug, and optimize their services.

What you'll do:

  • Define and execute the observability roadmap, treating it as a product. Understand engineering team needs and translate them into technical solutions with measurable impact
  • Architect, build, and scale distributed observability infrastructure (metrics, logs, traces) to handle massive volumes across Pinterest's distributed systems
  • Build high-performance data pipelines and storage for real-time and historical telemetry analysis at Pinterest scale
  • Champion Best Practices: Establish observability standards and patterns across the organization, making it easy for teams to instrument their services and gain actionable insights
  • Technical Leadership: Mentor engineers, lead architectural reviews, and influence technical decisions across teams to improve overall system reliability and performance
  • Cross-functional Collaboration: Partner with SRE, Infrastructure, Product Engineering, and other teams to understand pain points and deliver solutions that improve developer productivity and system reliability
  • Innovation: Stay current with observability trends and technologies, evaluating and adopting cutting-edge tools and techniques to keep Pinterest at the forefront

What we're looking for:

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
  • Product Mindset: Demonstrated ability to work backwards from customer needs -understanding user needs, prioritizing features, measuring success, and iterating based on feedback. Experience building internal platforms or tools with strong adoption
  • Distributed Systems Expertise: 7+ years of experience designing and operating large-scale distributed systems with deep understanding of consistency, availability, scalability, and failure modes
  • Data Engineering Skills: Strong background in building data pipelines, working with time-series databases, columnar storage, stream processing (Kafka, Flink, etc.), and data modeling at scale
  • Observability Domain Knowledge: Hands-on experience with modern observability tools and practices including metrics, logging, tracing, and profiling. Familiarity with OpenTelemetry, Prometheus, Grafana, or similar technologies
  • Programming Proficiency: Expert-level coding skills in languages like Java, Python, Go, or Scala with ability to write production-quality code
  • Systems Thinking: Ability to see the big picture while managing complex technical details, balancing trade-offs between cost, performance, and reliability
  • Experience building observability platforms from the ground up or significantly scaling existing solutions
  • Familiarity with cloud-native architectures and technologies (Kubernetes, service mesh, etc.)
  • Track record of driving adoption of internal platforms through excellent documentation, UX, and developer advocacy
  • Experience with machine learning or anomaly detection applied to observability use cases
  • Strong communication skills with ability to influence stakeholders at all levels
  • Contributions to open-source observability projects, a plus

In-Office Requirement Statement:ย 

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.ย 

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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