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Junior Aiops Engineer Jobs (NOW HIRING)

GSPANN Technologies

Lead AIOps Engineer

Fremont, CA · On-site

$112K - $147K/yr

Lead AIOps Engineer Location: Fremont, CA (Hybrid Onsite) Duration: 12+ Months Role Summary We are ... Mentor junior engineers and guide them on workflow design, validation, and operational execution

Diverse Lynx

Senior AIOps ML Engineer

Woodland Hills, CA · On-site

$110K - $151K/yr

Diverse Lynx is a company seeking a Senior AIOps ML Engineer. The role involves designing and ... Mentor junior ML and data engineers, and conduct rigorous design reviews for new mart schemas and ...

ClifyX

Senior AIOpsML Engineer

Woodland Hills, CA · On-site

$110K - $151K/yr

... Mentor junior ML and data engineers, and conduct rigorous design reviews for new mart schemas and model architectures. Qualifications : Required : • Experience in building and scaling AIOps ...

Metropolitan Commercial Bank

AI Engineer

New York, NY · On-site

Implement AIOps/MLOps pipelines for CI/CD of ML models, model governance, monitoring, and lifecycle ... Conduct code reviews and provide technical guidance to junior developers. * Stay current with ...

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How much do junior aiops engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for junior aiops engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What are Junior AIOps Engineers?

Junior AIOps Engineers are entry-level professionals who assist in implementing and maintaining artificial intelligence for IT operations (AIOps) solutions. They help analyze IT data, automate routine tasks, and detect incidents using machine learning and analytics tools. Their role typically involves monitoring systems, identifying anomalies, and supporting the integration of AI-driven tools to improve IT efficiency and responsiveness. Junior AIOps Engineers often work under the guidance of senior engineers while gaining experience with modern IT infrastructure and AI technologies.

What is the difference between Junior Aiops Engineer vs Data Analyst?

AspectJunior Aiops EngineerData Analyst
Required SkillsBasic knowledge of AI operations, scripting, cloud platformsData interpretation, SQL, Excel, statistical analysis
CertificationsEntry-level certifications in cloud or AI toolsData analysis or visualization certifications
Work EnvironmentIT operations, cloud environments, AI toolsBusiness intelligence, data reporting teams
Industry UsageTech, cloud service providers, AI companiesFinance, marketing, healthcare, research

The Junior Aiops Engineer focuses on maintaining AI and cloud operations, requiring scripting and cloud skills, while Data Analysts interpret data to inform business decisions. Both roles involve data handling but serve different functions within organizations.

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

To thrive as a Junior AIOps Engineer, you need foundational knowledge of IT operations, scripting languages (such as Python or Bash), and a relevant degree in computer science or related fields. Familiarity with monitoring tools (like Nagios, Prometheus), cloud platforms, and basic machine learning concepts is typically expected, along with certifications like AWS Certified Cloud Practitioner or Google Cloud Associate. Strong problem-solving abilities, effective communication, and a proactive learning attitude set candidates apart in this evolving field. These skills enable efficient incident response, automation of routine tasks, and successful collaboration within IT teams to ensure system reliability and innovation.

What are some typical challenges faced by Junior AIOps Engineers when working with large-scale IT infrastructures?

Junior AIOps Engineers often encounter challenges related to managing and interpreting vast amounts of IT operations data from diverse sources. Adapting to various monitoring tools, troubleshooting incidents efficiently, and learning how to automate repetitive tasks using machine learning can be demanding at first. Collaboration with cross-functional teams—such as DevOps, IT support, and data engineers—is also essential, requiring good communication skills. Over time, mastering these areas leads to greater autonomy and opportunities for advancement within IT operations and AIOps roles.
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Junior Aiops Engineer jobs near you
Infographic showing various Junior Aiops Engineer job openings in the United States as of July 2026, with employment types broken down into 10% As Needed, 54% Full Time, 1% Part Time, 1% Contract, and 34% Nights. Highlights an 74% Physical, 7% Hybrid, and 19% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.
Lead AIOps Engineer

Lead AIOps Engineer

GSPANN Technologies

Fremont, CA • On-site

$112K - $147K/yr

Other

Posted 25 days ago

Job description

About GSPANN
Headquartered in Milpitas, California (U.S.A.), GSPANN provides consulting and IT services to global clients, ranging from mid-size to Fortune 500 companies. With our experience in retail, high-technology, and manufacturing, we help our clients to transform and deliver business value by optimizing their IT capabilities, practices, and operations. Counting on our ten offices, including four global delivery centers, and approximately 1400 employees globally, we offer the intimacy of a boutique consultancy with capabilities of a large IT services firm

Role: Lead AIOps Engineer
Location: Fremont, CA (Hybrid Onsite)
Duration: 12+ Months

Role Summary
We are looking for a strong hands-on Lead AIOps Engineer to help operationalize and scale an SRE agent-driven operations model. This role will lead the onboarding of existing scripts, SOPs, and operational workflows into the SRE agent while also supporting production releases, validation, incident response, and operational governance.

This is not a pure support role. The ideal candidate must be technically strong, practical, and capable of using independent judgment rather than relying blindly on AI outputs.

Experience

  • Total 12+ years of experience required and around 5+ years of hands-on experience in IT operations, cloud operations, SRE, platform support, or production engineering
  • Proven experience in production support, incident handling, automation, and operational troubleshooting
  • Experience working with monitoring, observability, scripting, and release validation
  • Must have working expericne in AIOps, AI-assisted operations, or automation-led support models is strongly preferred

Key Responsibilities

  • Lead the adoption and operationalization of the SRE agent across support and reliability workflows
  • Translate existing scripts, runbooks, SOPs, and operational knowledge into agent-compatible workflows
  • Work with teams to identify which use cases should be automated, semi-automated, or remain human-driven
  • Validate agent outputs, recommendations, and remediation steps before operational use
  • Support production releases, release validation, smoke testing, and post-release health checks
  • Drive troubleshooting during incidents and ensure proper root cause analysis and follow-through
  • Improve alert handling, event correlation, and operational response patterns
  • Coordinate with engineering, operations, and platform teams on onboarding and process changes
  • Mentor junior engineers and guide them on workflow design, validation, and operational execution
  • Maintain high-quality documentation, runbooks, and operational standards

Required Technical Skills

  • Strong hands-on scripting experience in PowerShell, Python, Shell/Bash
  • Experience with monitoring, alerting, logs, dashboards, and incident workflows
  • Good understanding of production support processes, release support, and validation practices
  • Experience with Azure cloud platforms.
  • Familiarity with ITSM/ticketing tools such as ServiceNow, Jira, or similar
  • Ability to understand existing operational scripts and modernize them into scalable workflows
  • Experience with APIs, integrations, or automation pipelines is preferred
  • Exposure to Kubernetes / AKS/AI tools - ChatGPT, copilot is a plus

Working at GSPANN
GSPANN is a diverse, prosperous, and rewarding place to work. We provide competitive benefits, educational assistance, and career growth opportunities to our employees. Every employee is valued for their talent and contribution. Working with us will give you an opportunity to work globally with some of the best brands in the industry. The company does and will take an affirmative action to employ and advance in the employment of individuals with disabilities and protected veterans, and to treat qualified individuals without discrimination based on their physical or mental disability status. GSPANN is an equal opportunity employer for minorities/females/veterans/disability.

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