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Remote Observability Jobs in Utah (NOW HIRING)

This position is remote eligible for candidates who currently reside in Utah. What You'll Do ... Observability: Leverage Datadog and other monitoring tools to implement "Shift-Right" testing ...

This position is remote eligible for candidates who currently reside in Utah. Click here to see why ... Experience with observability tooling (logging, metrics, tracing) * Hands-on experience building ...

Software Engineer - AI-Native Full Stack Bolo AI Bay Area (Hybrid) | Salt Lake City Area (Remote ... Reliability, observability, and graceful degradation matter here. What Makes Someone Good at This ...

This position is remote eligible for candidates who currently reside in Utah. What You'll Do ... Observability: Leverage Datadog and other monitoring tools to implement "Shift-Right" testing ...

This position is remote eligible for candidates who currently reside in Utah. Click here to see why ... Experience with observability tooling (logging, metrics, tracing) * Hands-on experience building ...

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Remote Observability information

What are some common challenges faced by professionals in a Remote Observability role, and how can they be addressed?

Professionals in Remote Observability often face challenges such as monitoring complex, distributed systems, ensuring reliable data collection, and quickly identifying the root causes of issues without physical access to infrastructure. To address these challenges, it's essential to implement robust monitoring tools, establish clear alerting thresholds, and maintain strong communication with development and operations teams. Regular knowledge-sharing sessions and continuous learning about new observability platforms can also help remote teams stay effective and proactive.

How can I make 2000 a week working from home?

Remote observability roles often pay between $20 and $50 per hour, so earning $2000 weekly typically requires working 40 to 50 hours. Developing skills in monitoring tools, cloud platforms, and scripting can increase earning potential, and certifications like AWS or Kubernetes may help access higher-paying positions. Consistent remote work, strong technical skills, and experience are key to reaching this income level.

What is the difference between Remote Observability vs Remote Monitoring?

AspectRemote ObservabilityRemote Monitoring
FocusComprehensive system insights, including logs, metrics, and tracesTracking specific system metrics and alerts
ToolsOpenTelemetry, Grafana, JaegerNagios, Zabbix, Datadog
Work EnvironmentDevOps, SRE teams managing complex distributed systemsIT operations teams overseeing system health
CredentialsKnowledge of cloud platforms, scripting, and monitoring toolsBasic networking, system administration skills

Remote Observability provides a holistic view of system health through logs, metrics, and traces, enabling proactive troubleshooting. Remote Monitoring focuses on tracking specific metrics and alerts to detect issues. While both roles involve system oversight, observability offers deeper insights for complex environments, whereas monitoring emphasizes real-time alerts for system stability.

What is the salary of observability specialist?

The salary of an observability specialist typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in monitoring tools like Prometheus or Grafana can earn higher salaries.

How can I make $100,000 a year working from home?

In remote observability roles, earning $100,000 annually typically requires a combination of advanced technical skills in monitoring tools, cloud platforms, and scripting, along with experience in system architecture and troubleshooting. Certifications like AWS or Kubernetes can enhance earning potential, and working in a senior or specialized position often offers higher salaries. Building a strong portfolio and gaining experience in high-demand areas can also help achieve this income level remotely.

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 expertise in monitoring, logging, and tracing, typically supported by experience in systems administration or DevOps and a relevant technical degree. Familiarity with observability tools like Prometheus, Grafana, Datadog, ELK Stack, and cloud monitoring platforms, as well as certifications such as AWS Certified Cloud Practitioner or Google Professional Cloud DevOps Engineer, is highly valued. Strong analytical thinking, problem-solving, and effective communication are vital soft skills for diagnosing issues and collaborating with distributed teams. These skills and qualifications ensure reliable system performance, rapid incident response, and seamless user experiences in complex, cloud-based environments.

What is remote observability?

Remote observability refers to the ability to monitor, measure, and understand the state and performance of systems, applications, or infrastructure from a distance, typically using specialized tools and platforms. It is crucial for organizations that operate distributed or cloud-based environments, as it allows teams to detect issues, analyze metrics, and ensure reliability without needing physical access to the hardware. Remote observability often involves collecting logs, metrics, traces, and other telemetry data to provide a comprehensive view of system health and performance.

How to make 1000 a week remotely?

Remote observability roles often pay between $20 and $50 per hour, so earning $1,000 weekly typically requires working 20 to 50 hours. Developing skills in monitoring tools, scripting, and cloud platforms can increase earning potential, and certifications like AWS or Kubernetes may help access higher-paying opportunities.
What are the most commonly searched types of Observability jobs in Utah? The most popular types of Observability jobs in Utah are:
What cities in Utah are hiring for Remote Observability jobs? Cities in Utah with the most Remote Observability job openings:
QA Automation Tech Lead

QA Automation Tech Lead

Canopy

South Jordan, UT • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


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6.8

Company rating: 6.8 out of 10

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Job description

QA Automation Tech Lead

Canopy, South Jordan, UT

About Us

Canopy is a fast-growing SaaS company in South Jordan, Utah building simple, powerful software for accounting firms. We're on a mission to help accountants build an autonomous firm — giving them back the time and tools they need to focus on what matters most: their clients.

We believe the accounting industry deserves world-class software, and we're building exactly that. Our Practice Management Suite is purpose-built for firms that want to work smarter, grow faster, and deliver more value to the people they serve. We place a strong emphasis on delighting our customers, spotting and solving problems, and being good people along the way.

Click here to see why our clients (and investors) love Canopy.

Interested in learning more about Canopy & the industry? Check out our blog here where you can find great information on our product features, industry news, practice management, and more!

The Opportunity

We are seeking a QA Automation Tech Lead with a high-level engineering pedigree to spearhead the evolution of our quality infrastructure. In this pivotal role, you will serve as the technical authority for automation across the organization while acting as the QA Automation Engineer on our Platform Squad.

Your mission is two-fold: building the foundational infrastructure that enables other squads to scale, and pioneering AI-driven tooling that empowers our manual QA engineers to transition into automation seamlessly. You won't just be maintaining a framework; you will be architecting a self-service quality ecosystem.

This position is remote eligible for candidates who currently reside in Utah.

What You'll DoStrategic Leadership & Platform Engineering
  • Architect & Innovate: Serve as the Lead IC for the Platform Squad, designing and scaling global automation infrastructure that other product squads consume.
  • AI Tooling Development: Build and deploy internal agentic AI tools and wrappers designed to lower the barrier to entry for manual QA engineers, enabling them to generate and maintain automated tests autonomously.
  • Technical Mentorship: Provide high-level guidance and code reviews for QA engineers across the company, establishing "Golden Paths" for automation excellence.
Framework & API Engineering
  • Next-Gen Frameworks: Overhaul and scale our Python/Pytest frameworks to support high-concurrency, multi-tenant environments and complex CI/CD integrations.
  • Infrastructure as Code: Work closely with DevOps to ensure testing environments are ephemeral, scalable, and integrated into the deployment pipeline via GitHub Actions.
  • Advanced API Validation: Move beyond standard assertions to build deep-level API validation suites and maintain centralized Postman collections for cross-team use.
Agile & Data Strategy
  • Data Engineering for QA: Craft complex SQL scripts and data generation utilities to simulate production-grade data across our testing environments.
  • Observability: Leverage Datadog and other monitoring tools to implement "Shift-Right" testing strategies, using production telemetry to inform automation priorities.
What We're Looking For
  • Leadership Experience: 6+ years in QA Automation with at least 1-2 years in a Lead or Staff capacity, specifically influencing technical direction or managing large-scale projects.
  • Technical Mastery: Expert-level proficiency in Python. You should be comfortable building custom libraries, wrappers, and CLI tools from scratch.
  • UI Automation Craftsmanship: Hands-on experience with modern UI testing frameworks (e.g., Playwright, Cypress, or Selenium). You write stable, deterministic tests and treat maintainability and low flakiness as first-class engineering concerns.
  • AI/ML Enthusiast: Hands-on experience (or deep technical projects) involving LLM integration or agentic AI to solve engineering bottlenecks.
  • Database Depth: Strong ability to write complex SQL queries and understand relational database architecture.
  • Platform Mindset: Experience building infrastructure for other engineers. You understand that your "customers" are often the developers and QA peers in other squads.
  • Communication: The ability to translate complex technical requirements into actionable roadmaps for both technical and non-technical stakeholders.
Bonus Points
  • Cloud Native: Deep experience with AWS (Lambda, RDS, S3) and containerization (Docker/Kubernetes).
  • DevOps Savvy: Experience building custom GitHub Actions or complex CI/CD workflows.
  • Data Pipelines: Familiarity with validating data warehouses (Snowflake/BigQuery) or ETL pipelines.
  • Open Source: Contributions to testing frameworks or AI-related open-source projects.

Note to Candidates: This is a high-impact role for an engineer who loves to code but wants the responsibility of shaping the future of quality at a platform level. If you prefer building tools over just writing test scripts, we want to talk to you.

We know many women do not apply for a job if they don't perfectly fit the description. We want you to apply anyway.

Why You Want to Work Here

🌴 Flexible Paid Time Off - you're actually encouraged to use, plus 10 company holidays!

❤️‍🩹 Health Benefits - including Medical, Dental, and Vision and an HSA Match.

💰 401(k) - we match 100% up to 3% of your contribution. Eligibility is immediate with 100% vesting.

🧠 Mental Health - all employees have access to Impact Suite & to our Employee Assistance Program (EAP).

👶 Paid New Parent Leave & Birthing Parent Leave - so you're able to care for your little ones.

➕ Supplemental Benefits - including 100% company paid Basic Life & AD&D insurance and long & short-term disability coverage.

🌟 Nectar - our peer-to-peer recognition program to help our employees recognize the amazing work being done by other Canopians!

🥳 Company Events - including monthly company-wide meetings, summer parties, and more.

💡 ERG Committees - to plan initiatives around continuing education, community outreach, recruiting, onboarding, and more.

☕ Fully-stocked kitchen - Keto? Vegan? Flexitarian? Mandalorian? We've got you covered.

Our Values

We approach our work every day with a few things in mind:

🔑 Own - We own this place! We focus on outcomes, holding ourselves & each other accountable.

🏆 Win - We win by delighting our customers with the very best products and services.

👍 Do Good - We work hard to be good people!

💡 Embrace Curiosity & Candor - We approach everything with curiosity & we understand that candor is kindness and give the gift of feedback.

🚀 Act Startup Fast - We know the best way to become a world-class company is to always act like a tiny startup: fast, hungry, intense, and scrappy. But especially fast.

To learn more about us & our values, click here.

Interviewing @ Canopy

Application processes can be a little stressful. Here are the stages of a typical interview process at Canopy:

  • Once your application is received, we will review it and get back to you if we feel like it's a mutual fit!
  • 20-minute phone call with the People Team
  • 45-60-minute video or in-person interview with the Hiring Manager
  • 1-3 rounds of interviews, depending on the role
  • Final Interview

Interview processes can vary depending on the role. The People Team will give you a role-specific overview of the process during your first phone call.

Remember: This is your interview too! We know candidates are evaluating us just as much as we are them. We encourage you to bring questions to each of your interviews—our hiring teams will always make sure to save time for questions at the end!

Canopy is an equal-opportunity employer. Canopy provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status, or veteran status.


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