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Remote Aiops Engineer Jobs in Colorado (NOW HIRING)

Senior Network Automation Engineer

Boulder, CO · Remote

$107K - $147K/yr

This position is remote and can be based anywhere in the US or Canada** Responsibilities: Alarming ... Provide production support for alarming, automation and AIOps platforms. Be available to answer ...

Remote Aiops Engineer information

What is the difference between Remote Aiops Engineer vs Cloud Operations Engineer?

AspectRemote Aiops EngineerCloud Operations Engineer
Required CredentialsCertifications in AI, Machine Learning, Cloud platforms (AWS, Azure)Certifications in Cloud platforms, DevOps, Networking
Work EnvironmentRemote, tech-focused teams managing AI-driven systemsRemote or on-site, managing cloud infrastructure and services
Employer & Industry UsageTech companies, AI startups, cloud service providersCloud service providers, enterprise IT departments
Search & Comparison IntentUnderstanding AI-focused cloud operations rolesManaging cloud infrastructure and services

The Remote Aiops Engineer focuses on maintaining AI-driven systems and automating operations using AI and machine learning, often requiring specialized certifications. In contrast, the Cloud Operations Engineer manages cloud infrastructure, ensuring system reliability and performance. Both roles are remote-friendly and prevalent in tech and cloud industries, but they emphasize different technical skills and responsibilities.

What are Remote Aiops Engineers?

Remote Aiops Engineers are IT professionals who specialize in applying artificial intelligence (AI) and machine learning (ML) techniques to automate and enhance IT operations, typically while working from a location outside of a traditional office. They monitor, analyze, and optimize system performance, detect anomalies, and help prevent outages by leveraging AI-driven tools and algorithms. By working remotely, they can support organizations globally, offering flexibility and a broad skill set to manage complex IT environments efficiently.

What are the key skills and qualifications needed to thrive as a Remote AIOps Engineer, and why are they important?

To thrive as a Remote AIOps Engineer, you need a strong background in IT operations, machine learning, and data analytics, typically supported by a degree in computer science or a related field. Familiarity with monitoring tools (such as Splunk, Datadog, or Prometheus), scripting languages (like Python), and cloud platforms is essential, and certifications like AWS Certified Solutions Architect or Google Cloud Professional Engineer are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently set outstanding candidates apart in a remote setting. These skills and qualifications are crucial for proactively identifying and resolving IT issues, automating processes, and ensuring system reliability in distributed environments.

How do Remote AIOps Engineers typically collaborate with cross-functional teams to resolve incidents and optimize IT operations?

Remote AIOps Engineers frequently work with IT operations, development, and security teams to monitor, analyze, and automate responses to system events and incidents. Collaboration often happens through virtual meetings, shared dashboards, and incident management tools, ensuring seamless communication despite physical distance. They play a key role in facilitating root cause analysis, sharing insights from AI-driven analytics, and implementing automation solutions to prevent future issues. Effective communication and the ability to translate technical findings for non-technical stakeholders are essential for success in this collaborative environment.
What are the most commonly searched types of Aiops Engineer jobs in Colorado? The most popular types of Aiops Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote Aiops Engineer jobs? Cities in Colorado with the most Remote Aiops Engineer job openings:
Senior Network Automation Engineer

Senior Network Automation Engineer

Zayo Group LLC

Boulder, CO • Remote

$107K - $147K/yr

Full-time

Posted 17 days ago


Job description

Company Description

Zayo provides mission-critical bandwidth to the world’s most impactful companies, fueling the innovations that are transforming our society. Zayo’s 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo’s communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises.

Zayo is seeking a Senior Network Automation Engineer to be responsible for designing, implementing, and maintaining automated solutions to streamline network operations. This role combines traditional networking expertise with programming and automation skills to enhance efficiency, reliability, observability, and scalability within our organization's network infrastructure.

**This position is remote and can be based anywhere in the US or Canada**

Responsibilities:

Alarming Architecture:

  • Network and Services are monitored (auto-ticketed) to ensure proper ticket creation. 

  • Including Alarm correlation rule definition, alarm enhancement/ enrichment, etc.

  • Understanding of MIBs, SNMP, Traps and OIDs.

  • Work with users to ensure end result is optimize the balance between too few and too many ticket creation.

Automation Development:

  • Design and develop automation scripts and tools using languages such as Python and frameworks like Ansible to automate network configurations, provisioning, monitoring, and management tasks.

  • Network Configuration and Observability Management:
  • Implement automated solutions for network configuration, monitoring, observability, and troubleshooting to ensure high availability, reliability, and deep insight into network health and behavior. Integrate telemetry data collection into automation workflows.

Monitoring and Observability Implementation:

  • Design, deploy, and maintain observability solutions including metrics collection, log aggregation, and distributed tracing using tools such as Prometheus, Grafana, ELK stack, and OpenTelemetry. Enable proactive detection of anomalies, trends, and performance degradation across the network infrastructure.

Production support:

  • Provide production support for alarming, automation and AIOps platforms. Be available to answer after hour support requests in case of emergency. 

Collaboration with Cross-Functional Teams:

  • Work closely with network engineering, DevOps, SRE, and system administration teams to identify automation and observability opportunities and integrate solutions into existing infrastructure and CI/CD pipelines.

Security and Compliance:

  • Ensure all automation and observability solutions comply with relevant security standards and best practices. Implement automated compliance checks and anomaly-based threat detection through monitoring pipelines.

Monitoring and Troubleshooting:

  • Utilize automated tools to continuously monitor network performance, collect and analyze telemetry data, and implement self-healing or alert-based solutions to maintain optimal functionality and service reliability.

Documentation and Training:

  • Maintain comprehensive documentation of automation and observability processes, dashboards, and metrics. Provide training to team members on observability tools, telemetry practices, and automation best practices.

Qualifications:

  • Bachelor’s degree in Computer Science, Network Engineering, or a related field.

  • Minimum of eight (8) years of proven experience in network engineering with a focus on automation, observability, and orchestration.

  • Strong network and Telecom background.

  • Proficiency in programming languages such as Python.

  • Experience with network automation tools.

  • Experience with monitoring/observability tools such as Grafana.

  • Familiarity with telemetry protocols and observability frameworks (e.g., SNMP, NetFlow, sFlow, OpenTelemetry).

  • Working knowledge of alarm collection systems, Netcool, Federos, Icinga, CA Spectrum.

  • Working knowledge of AIOps platforms such as GROK, Big Panda, ServiceNow.

  • Strong understanding of networking protocols and architectures (e.g., TCP/IP, BGP, OSPF).

  • Familiarity with cloud technologies and microservices architecture.

  • Excellent problem-solving abilities.

  • Strong communication and collaboration skills.

  • Ability to work independently and manage multiple tasks effectively.

Preferred Qualifications:

  • Experience with Network OS: Familiarity with network operating systems such as JunOS or Arista EOS.

  • Cloud Networking: Experience in designing, implementing, and managing virtual networks within cloud platforms.

  • Cybersecurity Knowledge: Understanding of network security principles and practices, including automated threat detection and mitigation.

  • Observability Best Practices: Familiarity with distributed systems observability, SLO/SLI definitions, and real-time alerting strategies.

Estimated Base Salary Range: $95,800 - $136,900 USD/annually.

The base pay range shown is a guideline and reasonable estimate for this role. It takes into account the wide variety of factors that are considered in making compensation decisions. Actual compensation offered may vary from the posted range based upon geographic location, work experience, skill level, certifications, and other business and organizational needs. Non- sales roles may be eligible to participate in a discretionary annual incentive plan. Sales roles may be eligible to participate in a sales incentive plan.

Additionally, this position may be eligible for certain benefits, such as health insurance, life insurance, disability retirement plans, paid time off.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

Benefits, Rewards & Wellness

  • Excellent Health, Dental & Vision Insurance

  • Retirement 401(k) Savings Plan

  • Generous paid time off policy including paid parental leave

Zayo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.