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Senior Aiops Engineer Jobs (NOW HIRING)

Sr Site Reliability Engineer

Austin, TX · On-site

$55.50 - $73.75/hr

Solace, RabbitMQ, IBM MQ, Kafka. • Demonstrated experience applying AI/ML or AIOps approaches in production environments. Sr Site Reliability Engineer - Nice-to-Have Skills: • Financial services ...

The Senior Observability Engineer is responsible for defining, leading, and advancing enterprise ... Apply AIOps and agentic operations capabilities to strengthen detection, event correlation ...

Senior DevOps Engineer

$133K - $170K/yr

As a Senior DevOps Engineer , you are a critical driver of the platform that powers video knowledge ... Implement AI-driven monitoring and anomaly detection systems (AIOps) using CloudWatch to catch and ...

Senior DevOps Engineer

$150K - $170K/yr

As a Senior DevOps Engineer , you are a critical driver of the platform that powers video knowledge ... Implement AI-driven monitoring and anomaly detection systems (AIOps) using CloudWatch to catch and ...

Showing results 41-60

Senior Aiops Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior aiops engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for senior aiops engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a Senior AIOps Engineer?

Senior AIOps Engineers are experienced IT professionals who leverage artificial intelligence and machine learning to automate and optimize IT operations. They design, implement, and maintain AIOps solutions that help organizations proactively manage and resolve IT issues, improve system reliability, and enhance performance. These engineers often lead teams, set best practices, and work closely with developers, IT staff, and business stakeholders to ensure technology systems run smoothly and efficiently.

What are the key skills and qualifications needed to thrive as a Senior AIOps Engineer?

To excel as a Senior AIOps Engineer, you need deep expertise in IT operations, machine learning, and data analytics, typically supported by a degree in computer science or a related field. Proficiency with AIOps platforms (like Moogsoft or Splunk), cloud services (AWS, Azure, or GCP), and automation tools, as well as relevant certifications, is highly valued. Strong problem-solving abilities, communication skills, and a proactive mindset distinguish top performers in this role. Mastering these competencies enables effective automation of IT operations, rapid incident response, and continual improvement of system reliability.

What are some common challenges faced by Senior AIOps Engineers when implementing automation in large-scale IT environments?

Senior AIOps Engineers often encounter challenges such as integrating new automation tools with legacy systems, ensuring data quality for accurate anomaly detection, and managing the complexity of diverse IT infrastructures. They also need to address organizational resistance to change and establish trust in automated recommendations. Collaborating closely with IT operations, development, and business teams is essential to align automation initiatives with organizational goals and ensure smooth adoption.

What does a Senior Aiops Engineer do?

A Senior Aiops Engineer designs, implements, and manages AI-driven automation and monitoring systems to optimize IT operations and ensure system reliability. They analyze large datasets, develop predictive models, and use tools like machine learning and cloud platforms to improve infrastructure performance and incident response. Strong scripting, automation skills, and knowledge of AI and DevOps practices are essential for this role.

What is the salary of a Senior Aiops Engineer?

The salary of a Senior Aiops Engineer typically ranges from $110,000 to $160,000 annually, depending on experience, location, and company size. Senior roles often require expertise in cloud platforms, automation tools, and monitoring systems, which can influence compensation levels.
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Infographic showing various Senior Aiops Engineer job openings in the United States as of September 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Senior Site Reliability Engineer, AIOPs

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

$67 - $89/hr

Full-time

Re-posted 22 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Join our team of innovative engineers who are building an AI Data Center AIOps platform that turns raw, high-volume telemetry into reliable, job-centric insights and automation for GPU fleets. We're hiring a DevOps Engineer to operate the platform itself (not the compute cluster): uptime, performance, data integrity, and safe change management. You'll own SLOs/SLIs, incident response, and postmortems for the telemetry ingestion, processing, storage, and APIs/dashboards that operators depend on. You'll partner Software Engineering and Systems Engineering team to translate platform signals into actionable, trustworthy alerts and automation.

What you'll be doing:

  • Continuously monitor platform health via dashboards/logs/metrics, automate recurring checks, and keep reliability + resource efficiency on track.

  • Own Kubernetes deployments end-to-end (runbooks, canary checks, post-deploy validation), and lead rollbacks/remediations when needed.

  • Lead first-level incident triage: collect diagnostics, identify likely root causes, and hand off clear, actionable findings to engineering.

  • Build and maintain runbooks/SOPs/checklists, pushing continuous improvement through automation.

  • Manage deployment infrastructure and packaging (Helm + Terraform/IaC) to keep environments scalable, consistent, and reproducible.

  • Contribute in adjacent functional areas to grow and help your team members!

What we need to see:

  • BS/MS in CS/CE (or equivalent experience) and 5+ years operating production distributed systems as SRE/DevOps/Platform Ops.

  • Proven ownership of reliability for an observability/AIOps platform: SLOs/SLIs, on-call, addressing incidents, and follow-up evaluations that drive measurable improvements.

  • Deep Kubernetes + containers experience (deploying, debugging, scaling) for telemetry-heavy microservices-ingestion, processing, storage, APIs, and UI.

  • Automation-first approach: solid scripting (Python/Bash), CI/CD, and infrastructure-as-code (Terraform + Helm) to deliver safe rollouts (canaries/rollbacks), reproducible environments, and minimal toil.

  • Clear communicator who writes excellent runbooks/docs and can translate ambiguous requirements into concrete operational practices and dependable customer-facing reliability.

Ways to stand out from the crowd:

  • Strong Linux + networking fundamentals, distributed systems instincts, and hands-on ops for Kubernetes/services/streaming stacks are ideal; bonus for experience with observability platforms at scale.

  • Experience building safe automation that operators trust: canary releases, automated rollback criteria, "monitoring for the monitoring" (lag/drop/error budgets), and replay/backfill pipelines with correctness checks.

  • Strong in distributed/streaming systems operations (Kafka/Pulsar, Flink/Spark, ClickHouse/Elastic/TSDBs, object storage)-and can reason about backpressure, hotspots, and failure domains end-to-end.

  • Proven programming experience building automation tools or services - ideally in Python, or similar languages - to simplify operations and scale recurring processes.

  • Proven experience running largescale production deployments and multiple Kubernetes environments or clusters across teams or customers, coordinating changes and rollouts with minimal disruption with handson experience with observability tools - you know your way around dashboards, metrics, logs, and traces using platforms like Prometheus, Grafana, or similar.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 176,000 USD - 276,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US