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Remote Anomaly Detection Jobs (NOW HIRING)

Senior Microsoft Fabric Data Engineer

Dallas, TX ยท On-site +1

$113.70K - $136.60K/yr

Dallas, TX (Hybrid/Remote) Duration: 6+ Months Core Engineering * Advanced SQL (T SQL) for large ... Data quality frameworks: validation rules, anomaly detection, reconciliation checks * Observability ...

Remote * 5+ years of AI/ML Expertise: Understanding of core AI and machine learning concepts ... Anomaly Detection * Adaptability & Learning Agility: Proven ability to quickly learn new ...

Remote-First:100% remote opportunities within the USA. * Career Growth:Significant potential for ... Exposure to NLP, anomaly detection, or predictive modeling. * Background in healthcare automation ...

Remote-First:100% remote opportunities within the USA. * Career Growth:Significant potential for ... Exposure to NLP, anomaly detection, or predictive modeling. * Background in healthcare automation ...

SAP AI Lead Developer

Plano, TX ยท On-site +1

$56.50 - $74/hr

AI technologies, platforms, and frameworks (LLMs, predictive analytics, anomaly detection) that ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

SAP AI Lead Developer

Plano, TX ยท On-site +1

$56.50 - $74/hr

AI technologies, platforms, and frameworks (LLMs, predictive analytics, anomaly detection) that ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

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Remote Anomaly Detection information

See salary details

$15

$27

$37

How much do remote anomaly detection jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote anomaly detection in the United States is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $33.17 per hour, depending on experience, location, and employer.

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.

More about Remote Anomaly Detection jobs
What cities are hiring for Remote Anomaly Detection jobs? Cities with the most Remote Anomaly Detection job openings:
What are the most commonly searched types of Anomaly Detection jobs? The most popular types of Anomaly Detection jobs are:
What states have the most Remote Anomaly Detection jobs? States with the most job openings for Remote Anomaly Detection jobs include:
Infographic showing various Remote Anomaly Detection job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $57,562 per year, or $27.7 per hour.

Principal Site Reliability Engineer (SRE)

INFINITE CHOICE LLC

Austin, TX โ€ข Remote

$180K - $210K/yr

Full-time

Posted 4 days ago


Job description

About the Role

We're seeking an exceptional Principal Site Reliability Engineer to architect, design, and build our SRE foundation from the ground up at InfiniteChoice. This is a rare greenfield opportunity to establish SRE practices, develop custom tooling, and create the reliability culture that will support our platform serving millions of users and billions in transaction volume.

As our Principal SRE, you'll combine deep technical expertise with strategic vision to build world-class monitoring, observability, and automation systems. You'll have the autonomy to define our SRE processes, select technologies, and create the framework that ensures our systems are reliable, scalable, and performant.

Location: Remote - US based

What You Will DoSRE Foundation & Process Development
  • Build SRE practices from scratch - define SLIs, SLOs, error budgets, and reliability metrics

  • Establish incident response procedures, on-call rotations, and post-mortem processes

  • Create reliability engineering standards and best practices across all engineering teams

  • Develop disaster recovery and business continuity strategies

  • Design and implement capacity planning and performance optimization frameworks

Architecture & Tool Development
  • Drive architecture decisions for comprehensive application and infrastructure monitoring solutions

  • Design and develop custom SRE tools for automated monitoring, alerting, and remediation

  • Build observability platforms that provide deep insights into system performance and user experience

  • Create automation frameworks for deployment, scaling, and incident response

  • Architect logging, metrics, and tracing systems for distributed microservices environments

Google Cloud Infrastructure Excellence
  • Leverage Google Cloud Platform services to build resilient, scalable infrastructure

  • Implement cloud-native monitoring using Stackdriver, Cloud Monitoring, and Cloud Logging

  • Design auto-scaling and self-healing systems using GKE, Cloud Functions, and managed services

  • Optimize cloud costs while maintaining high availability and performance standards

  • Establish security and compliance frameworks within GCP environments

Innovation & Continuous Improvement
  • Research and implement cutting-edge SRE tools and methodologies

  • Leverage AI and machine learning for predictive analytics, anomaly detection, and automated remediation

  • Create dashboards and reporting systems that provide actionable insights to engineering and business teams

  • Establish feedback loops for continuous improvement of reliability and performance

  • Stay current with industry best practices and emerging technologies in the SRE space

What You Must HaveSRE & Infrastructure Expertise
  • 12+ years of experience in Site Reliability Engineering or Infrastructure Engineering

  • 5+ years in lead SRE roles building and scaling SRE teams and processes

  • Proven track record designing and implementing monitoring and observability solutions at scale

  • Deep understanding of distributed systems, microservices architectures, and cloud-native patterns

  • Experience with infrastructure as code, configuration management, and deployment automation

Google Cloud Platform Proficiency
  • Hands-on experience with Google Cloud Platform is required

  • Expertise with GCP monitoring and observability stack (Cloud Monitoring, Cloud Logging, Cloud Trace)

  • Experience with GKE, Compute Engine, Cloud Functions, and other core GCP services

  • Knowledge of GCP networking, security, and compliance capabilities

  • Understanding of GCP cost optimization and resource management

Technical Skills
  • Strong programming skills in Python, Go, Java, or similar languages

  • Experience with monitoring tools (Prometheus, Grafana, Datadog, New Relic, or similar)

  • Proficiency with containerization (Docker, Kubernetes) and orchestration platforms

  • Knowledge of CI/CD pipelines, automated testing, and deployment strategies

  • Understanding of database performance tuning and optimization (SQL and NoSQL)

AI & Automation
  • Familiarity with AI-driven development tools and methodologies is a huge plus

  • Experience with machine learning for operations (AIOps), anomaly detection, or predictive analytics

  • Knowledge of automated incident response and self-healing systems

  • Understanding of AI/ML tools for log analysis, pattern recognition, and intelligent alerting

Problem-Solving & Mindset
  • Strong analytical and troubleshooting skills for complex distributed systems

  • Experience with high-pressure incident response and crisis management

  • Detail-oriented with commitment to operational excellence and continuous improvement

  • Comfortable with ambiguity and building processes in a fast-growing environment

  • Passion for reliability, automation, and engineering best practices

  • Demonstrated experience building SRE programs and processes from the ground up is a HUGE plus

Education
  • Bachelor's degree in Computer Science, Engineering, or equivalent professional experience

  • Industry certifications (Google Cloud Professional, SRE or related certifications preferred)

What We Offer
  • Ground-floor opportunity to build SRE practices and culture from scratch

  • Full autonomy to define processes, select technologies, and establish best practices

  • Direct impact on platform reliability serving millions of users

  • Opportunity to create lasting engineering culture and operational excellence

  • Remote-first culture with in-person meeting in Dallas, TX on need basis

  • Collaborative environment with smart, passionate engineers and cross-functional teams

  • Access to cutting-edge technologies and AI-driven development tools

  • Competitive compensation, equity participation, and comprehensive benefits

Ready to Build World-Class Reliability?

Join us in creating the SRE foundation that will power InfiniteChoice's next phase of growth. If you're passionate about reliability engineering, love building systems from scratch, and want to establish the operational excellence that scales with our business, we'd love to hear from you.

About InfiniteChoice

InfiniteChoice was founded to help people find the experiences they want simply and effortlessly. We leverage a new type of business model and platform that uniquely applies automation and technology to solve the challenges of scale and complexity in experience discovery.


Existing business and marketing technologies can no longer handle the demands of connecting millions of consumers with vast inventories of experiences across a fragmented, global marketplace of people, partners, and providers.


Our mission is to disrupt this status quo by creating seamless connections between consumers and experiences. We're just at the beginning of this journey, but our approach is working: we've helped over 275 million visitors connect to millions of experiences, generating over $2 billion in revenue for our brands and partners.