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Remote Observability Engineer Jobs in Arizona (NOW HIRING)

Staff Software Engineer

Phoenix, AZ · On-site +1

$174K - $262K/yr

Posting Type Hybrid/Remote Job Overview Who We Are Relativity is a leading legal data intelligence ... Engineering Culture:Continuous delivery, strong observability, and end-to-end ownership.

Familiarity with monitoring/observability tools (PagerDuty, Datadog, BetterUptime, or similar ... Mon-Fri hybrid (Wed remote); expectation is 80% in-office (Phoenix HQ) How We Hire (fast ...

Data Engineer AI

Phoenix, AZ · On-site +1

$113K - $136K/yr

Implement automated validation and observability layers to detect data drift and quality issues ... LI-TS1 #remote Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

Remote Position Type: Contract Job Overview We are seeking an accomplished, technology-driven Lead ... Pipeline Engineering: Design distributed processing frameworks, control flows, and configuration ...

$104K/yr

REMOTE OPTIONS, PHOENIX Categories: Information Technology/Services DEPARTMENT OF REVENUE Funding ... CI/CD Pipeline Engineering: Building automated deployment pipelines that safely validate and push ...

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Remote Observability Engineer information

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.
What are the most commonly searched types of Observability Engineer jobs in Arizona? The most popular types of Observability Engineer jobs in Arizona are:
What job categories do people searching Remote Observability Engineer jobs in Arizona look for? The top searched job categories for Remote Observability Engineer jobs in Arizona are:
What cities in Arizona are hiring for Remote Observability Engineer jobs? Cities in Arizona with the most Remote Observability Engineer job openings:
Staff Software Engineer

Staff Software Engineer

Relativity

Phoenix, AZ • On-site, Remote

$174K - $262K/yr

Full-time

Medical, Retirement

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


Job description

Posting Type

Hybrid/Remote

Job Overview

Who We Are Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AIpowered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other highstakes legal work where accuracy and trust are crucial. The world's largest law firms, corporations and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change. What We Do At Relativity, engineers don't just write code-they shape how industries uncover critical insights, ensure compliance, advance access to justice and continuously evolve our platform using the latest technologies, including cloud-native architectures, AI capabilities, and modern developer tooling. Our AI powers privacy programs, identifies confidential information, and detects language indicating misconduct. We're reimagining how legal professionals uncover truth at scale, and engineering is at the heart of that transformation. If you're passionate about solving hard problems, designing for scale, and building tools that matter-while working in a culture that values transparency, innovation, and shared success- Relativity offers the opportunity to make a measurable difference in the marketplace.

Job Description and Requirements

WhatYou'llDo

  • Drive design ofdistributed, scalable, secure full-stack cloud services that process petabytes of data weekly, owning architecture and implementation while influencing execution across engineering.
  • Resolve complex, cross-organizational technical problems through deep technicalexpertise, collaboration, and hands-on implementation.
  • Provide technical direction across frontend, backend, and data layers, collaborating with teams, peers, and principal engineers on system design and architecture.
  • Collaborate closely with teams to solve complex technical and business problems and build AI-powered legal data solutionsthatoperate atmassive scale.
  • Drive engineering standards across multiple teams, including performance, scalability, reliability, and security, through design and code reviews, patterns, best practices, documented standards, and coaching.
  • Align technical execution with product strategy and delivery commitments,identifyingand removing technical and operational friction.
  • Mentor senior and lead engineers, shaping technical decision-making and technical culture.

WhatWe'reLooking For

Required

  • 10+ years of experience designing,buildingandoperatingcomplex cloud-native distributedsystems.
  • Demonstrated technical leadership acrossmultiple teams or domains.
  • Strong background inarchitecture, security, and reliabilityat scale.
  • Ability to define technical direction and drivecross-team alignment.
  • Experience translatingbusiness goals into technical strategy.
  • Proven ability to influence without formal authority.
  • Strong mentorship and technical communication skills.

Preferred

  • Experience shapingdata platforms or UI standards.
  • Experience working inglobal or highly distributed organizations.
  • Track recordof drivingorganization-wide technical improvements.
  • Familiarity with AI-development tools like GitHub Copilot, Cursor or Claude Code.
  • Experience inregulated or large-scale environments

Why We Could BeAGreat Fit

  • Impactful Mission:Organize Data, Discover theTruthand Act on It- Our customersinclude Fortune500 enterprises and leading law firms managing high-stakes matters on our platform.
  • Growth Path:Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, accelerating career growth.
  • Engineering Culture:Continuous delivery, strong observability, and end-to-end ownership.
  • Inclusive Environment:Diverse backgrounds and perspectives make us stronger.
  • Community Impact:Volunteer opportunities and company-sponsored charitable programs.
  • Compensation & Benefits:Competitive salary, health and retirement programs, wellnessresources, discretionary time off (DTO), parental leave for primary and secondarycaregivers,twoannual company breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$174,000 and $262,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Algorithms, Automation, Debugging, Distributed Systems, Performance Tuning, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership