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Junior Aiops Engineer Jobs (NOW HIRING)

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 ...

Calix

Staff Site Reliability Operations Engineer

$58.25 - $77.50/hr

AIOps & Intelligent Alerting: Deploy machine learning models and automated anomaly detection to cut ... Coach senior and junior engineers on advanced debugging techniques, distributed systems thinking ...

Peraton

Junior Solutions Architect

Reston, VA · On-site +1

$86K - $138K/yr

This role is designed for high-potential engineers and technologists looking to grow into senior ... Exposure to generative AI, agentic AI, AIOps, zero trust, or other emerging technologies through ...

Peraton

Junior Solutions Architect

Reston, VA · On-site +1

$86K - $138K/yr

This role is designed for high-potential engineers and technologists looking to grow into senior ... Exposure to generative AI, agentic AI, AIOps, zero trust, or other emerging technologies through ...

Peraton

Junior Solutions Architect

Reston, VA · On-site +1

$86K - $138K/yr

This role is designed for high-potential engineers and technologists looking to grow into senior ... Exposure to generative AI, agentic AI, AIOps, zero trust, or other emerging technologies through ...

Adidev Technologies Inc

DevOps Engineer

Dallas, TX

$52.25 - $71.50/hr

M entor junior engineers and contribute to architectural decisions. * L ead incident response and ... E xperience with AIOps or predictive automation. * L eadership or mentoring experience. What You'll ...

Adidev Technologies Inc

DevOps Engineer

Manhattan, NY · On-site

$57.75 - $79.25/hr

M entor junior engineers and contribute to architectural decisions. * L ead incident response and ... E xperience with AIOps or predictive automation. * L eadership or mentoring experience. What You'll ...

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Junior Aiops Engineer information

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$33.5K

$71.8K

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How much do junior aiops engineer jobs pay per year?

As of Aug 3, 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 9% As Needed, 56% Full Time, 3% Contract, and 32% Nights. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.

Senior AIOps ML Engineer

Prophecy Technologies

Los Angeles, CA • On-site

$112K - $154K/yr

Full-time

Re-posted 4 days ago

Job description

Role Overview:
The Senior AIOps ML Engineer will be responsible for designing, building, and optimizing a robust Lakehouse architecture for petabyte-scale multi-domain observability data. This role involves developing and deploying advanced machine learning models for AIOps, including streaming anomaly detection, root-cause analysis, and incident forecasting. Key responsibilities also include managing the end-to-end MLOps lifecycle, ensuring data quality and performance, and integrating AIOps insights with incident management platforms. The engineer will also focus on security and compliance observability, collaborating with security teams, and contributing to organizational engineering standards and mentorship.
Key Responsibilities:
  • Lakehouse Architecture & Data Engineering: Design and evolve Lakehouse schema (Delta Lake / Apache Iceberg) for multi-domain observability data at petabyte scale. Build and maintain robust ingestion pipelines from OTel Collector through Kafka to the Lakehouse, ensuring exactly-once semantics and strict schema enforcement. Implement dbt transformation models to generate mart-ready, denormalized fact and dimension tables. Define and enforce data quality contracts and SLAs. Optimize query performance utilizing partitioning strategies, Z-ordering, bloom filters, and materialized views.
  • ML Model Development & AIOps: Design, train, and deploy machine learning models for streaming multivariate anomaly detection, root-cause analysis, and incident forecasting. Build low-latency streaming inference pipelines (Flink / Spark Streaming) for real-time anomaly scoring. Develop sophisticated log intelligence models (clustering, NLP classification, error deduplication). Implement unsupervised and semi-supervised methods for User Experience frustration detection and KPI correlation. Own the ML feature store, managing feature engineering, versioning, and backfill pipelines. Instrument model performance tracking, including drift detection, accuracy monitoring, and automated retraining triggers.
  • AIOps Platform & Productionization: Design and operate the end-to-end AIOps workflow, spanning signal ingestion, feature computation, model inference, alert routing, and auto-remediation hooks. Build high-performance model serving infrastructure supporting real-time REST/gRPC endpoints and async batch scoring with strict p99 latency SLOs. Integrate AIOps insights with incident management platforms (PagerDuty, Opsgenie) and internal runbooks. Define and publish metrics from the Business KPI mart to quantify business impact.
  • Security & Compliance Observability: Partner with the Security team to build the Security mart schema, including threat feed ingestion, UEBA baselines, and CVE correlation pipelines. Train anomalous-access and lateral-movement detection models. Ensure all data handling adheres strictly to data residency requirements, PII masking standards, and audit-log protocols.
  • Collaboration & Engineering Standards: Define telemetry schema contracts with the OTel Instrumentation team. Author ML platform RFCs and contribute actively to observability data model standards. Mentor junior ML and data engineers and conduct rigorous design reviews.

Required Skills:
  • AI Agents
  • Kafka and Streaming technologies (Flink / Spark)
  • Lakehouse architectures (Delta Lake / Apache Iceberg)
  • Machine Learning (Anomaly detection, time-series analysis)
  • Observability tools and concepts (OTel, APM, Logs)
  • MLOps practices (feature store management, drift detection, model retraining)
  • Strong proficiency in SQL and Python

Qualifications:
  • 10+ years of experience in a relevant field.

Apply