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Remote Anomaly Detection Jobs in Utah (NOW HIRING)

Senior Application Security Engineer

South Jordan, UT · Remote

$109K - $149K/yr

This position is fully remote in Utah. What You'll Do * Help design and execute a multi-year ... to anomaly detection - to help our small team punch above its weight * Work closely with the ...

Senior Application Security Engineer

South Jordan, UT · Remote

$109K - $149K/yr

This position is fully remote in Utah. What You'll Do * Help design and execute a multi-year ... to anomaly detection -- to help our small team punch above its weight * Work closely with the ...

Senior Application Security Engineer

South Jordan, UT · Remote

$109K - $149K/yr

This position is fully remote in Utah. What You'll Do * Help design and execute a multi-year ... to anomaly detection -- to help our small team punch above its weight * Work closely with the ...

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

... routing, reconciliation, anomaly detection, and decisioning. The role includes implementing ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Fully remote within Pacific Standard time zone About the Role Product at Nearmap doesn't just build ... Identify and implement opportunities to automate reporting, anomaly detection, and commercial ...

Fully remote within Pacific Standard time zone About the Role Product at Nearmap doesn't just build ... Identify and implement opportunities to automate reporting, anomaly detection, and commercial ...

Fully remote within Pacific Standard time zone About the Role Product at Nearmap doesn't just build ... Identify and implement opportunities to automate reporting, anomaly detection, and commercial ...

Remote Anomaly Detection information

What are the key skills and qualifications needed to thrive as a remote anomaly detection specialist, and why are they important?

To thrive in Remote Anomaly Detection, you need a strong background in statistics, data analysis, and machine learning, usually supported by a degree in computer science, engineering, or a related field. Familiarity with analytical tools like Python, R, SQL, and specialized anomaly detection frameworks is essential, along with experience in cloud platforms. Strong problem-solving skills, attention to detail, and effective remote communication set top performers apart. These competencies enable accurate identification of unusual patterns, quick response to potential risks, and seamless collaboration in distributed work environments.

What are some common challenges faced by professionals working in remote anomaly detection roles?

Professionals in remote anomaly detection often face challenges related to data quality and access, as much of the work depends on analyzing large, diverse datasets from various sources. Ensuring secure, real-time data transmission and maintaining robust communication with cross-functional teams can also be demanding, especially when working remotely. Additionally, adapting to evolving algorithms and staying current with the latest detection technologies requires ongoing learning and collaboration. Successfully navigating these challenges typically involves proactive communication, diligent documentation, and leveraging collaborative tools to stay connected with colleagues.

What is remote anomaly detection?

Remote anomaly detection is the process of identifying unusual patterns or behaviors in data collected from remote systems, devices, or networks. This technique is commonly used in industries such as cybersecurity, manufacturing, and IoT to monitor operations and quickly detect issues or potential threats. By using algorithms and machine learning, remote anomaly detection can automatically flag data points that deviate from normal patterns, helping organizations respond proactively to prevent problems. This approach is especially valuable in environments where manual monitoring is difficult or impractical due to distance or scale.

What is the difference between Remote Anomaly Detection vs Data Analyst?

AspectRemote Anomaly DetectionData Analyst
Required CredentialsBackground in cybersecurity, data science, or related fields; certifications like CompTIA Security+ or Certified Data ProfessionalBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Data Analyst Associate
Work EnvironmentRemote, often in tech or cybersecurity firms, focusing on monitoring systems and identifying irregularitiesRemote or on-site, working with data sets, creating reports, and providing insights for business decisions
Employer & Industry UsageTech companies, cybersecurity firms, financial institutionsBusiness, finance, marketing, healthcare sectors

While both roles involve working with data, Remote Anomaly Detection specialists focus on identifying irregularities in systems or networks, often requiring cybersecurity knowledge. Data Analysts interpret data to inform business strategies. The roles share skills in data analysis but differ in focus and industry applications.

What are the most commonly searched types of Anomaly Detection jobs in Utah? The most popular types of Anomaly Detection jobs in Utah are:
What are popular job titles related to Remote Anomaly Detection jobs in Utah? For Remote Anomaly Detection jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Anomaly Detection jobs in Utah look for? The top searched job categories for Remote Anomaly Detection jobs in Utah are:
What cities in Utah are hiring for Remote Anomaly Detection jobs? Cities in Utah with the most Remote Anomaly Detection job openings:

Senior Application Security Engineer

Canopy

South Jordan, UT • Remote

$109K - $149K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


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Company rating: 6.8 out of 10

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Job description

Senior Application Security Engineer

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

As we scale, so does the trust our customers place in us to protect their data. We're hiring a Senior Application Security Engineer to help harden our platform - from how we isolate workloads and control access, to how we secure our network, harden our applications, achieve audit-grade observability, and lock down our software supply chain.

This is a hands-on, high-ownership role. You'll be a primary builder on a broad security roadmap spanning cloud infrastructure, identity, network, application, observability, and the software supply chain - turning it into shipped, operational reality alongside platform, infrastructure, and product engineering teams. We're looking for someone who can go deep on any one of these areas when needed, while staying comfortable moving across all of them, and who has a sharp read on how AI is reshaping both the threats we defend against and the tools we defend with.

This position is fully remote in Utah.

What You'll Do

  • Help design and execute a multi-year application and platform security roadmap spanning cloud infrastructure, identity, network, application, observability, and the software supply chain
  • Harden our AWS and Kubernetes environments - from account/organization structure and IAM to workload identity, network segmentation, and zero-trust access
  • Strengthen authentication and application-layer defenses, including anti-abuse protections, secure headers, and multi-tenant isolation
  • Build out the security observability stack: audit logging, cloud posture monitoring, runtime threat detection, and deception-based detection techniques
  • Embed security into the SDLC - CI/CD gates, secret scanning, threat modeling, and software supply chain integrity (SBOMs, artifact signing, provenance), accounting for the new risks and review needs introduced by AI-generated code and AI-assisted development workflows
  • Evaluate and adopt AI-powered security tooling - from AI-assisted pentesting and code review to anomaly detection - to help our small team punch above its weight
  • Work closely with the security lead to prioritize this work, balancing finite hardening projects against the ongoing operational load of running a security program that scales with the company
  • Serve as a trusted security resource for engineering teams - reviewing designs, unblocking teams on secure implementation patterns, and helping raise security literacy across the org
  • Support customer and compliance conversations where deep technical credibility is needed

What We're Looking For

  • 8+ years of professional experience in application security, security engineering, or a closely related discipline, with a track record of driving substantial security initiatives from design through to production
  • Deep, hands-on expertise across most of the following: cloud account/organization security (AWS preferred), IAM and least-privilege design, Kubernetes and container security, network security and zero-trust access (e.g., Tailscale, mTLS), web application security (WAF, CSP, authentication/anti-abuse), security observability (SIEM/audit logging, CSPM, runtime detection), and secure SDLC/supply chain security (SAST/DAST, secret scanning, SBOM, artifact signing)
  • A working understanding of how AI is currently shaping the security landscape - both offensively (AI-assisted phishing, automated exploitation, LLM-specific attack surfaces) and defensively (AI-assisted detection, code review, and pentesting) - and the judgment to separate real risk and real value from hype
  • Demonstrated ability to go deep on a single domain when the problem demands it, and to reason credibly across all of them when setting priorities
  • Experience threat modeling new features and influencing engineering design decisions before code is written
  • Strong communication skills - able to translate security risk into terms that engineers, product managers, and leadership can act on
  • Comfort operating with significant autonomy in a fast-moving environment, and pulling in the right partners across the org to get things done

Bonus Points 

  • Experience securing multi-tenant SaaS platforms, including tenant-isolation testing or red-teaming
  • Relevant certifications (e.g., OSCP, GWAPT, GCSA, or similar) - nice to have, not required
  • Experience building or operating detection engineering programs (honeytokens, canary credentials, runtime threat detection)
  • Prior experience in a regulated or compliance-heavy environment (SOC 2, ISO 27001, etc.)
  • Hands-on experience securing AI/LLM-powered features or evaluating the security posture of AI coding tools and agentic workflows

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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