2

Remote Aiops Engineer Jobs in Atlanta, GA (NOW HIRING)

Senior DevOps Engineer

Atlanta, GA · On-site +1

$125K - $160.60K/yr

Atlanta / Remote Must Have * Cloud Platforms: Strong hands-on experience with AWS and Azure ... Exposure to AIOps or AI-driven automation * Experience with data platforms (Databricks, Snowflake ...

Remote Aiops Engineer information

See Atlanta, GA salary details

$36.5K

$111.4K

$184.2K

How much do remote aiops engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote aiops engineer in Atlanta, GA is $111,422.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $145,700.00 per year, depending on experience, location, and employer.

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 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 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 cities near Atlanta, GA are hiring for Remote Aiops Engineer jobs? Cities near Atlanta, GA with the most Remote Aiops Engineer job openings:
Senior DevOps Engineer

Senior DevOps Engineer

Juvare

Atlanta, GA • On-site, Remote

$125K - $160.60K/yr

Full-time

Posted 12 days ago


Job description

Juvare is a SaaS software company focused on developing innovative enterprise resilience solutions for government agencies, corporations, healthcare providers, and higher education. Juvare solutions have supported over 500,000 emergency response incidents in all 50 states and 20 countries worldwide. Juvare helps our clients prepare, connect, and respond to protect people, property, and brands.

Role Overview

We are looking for a Sr. DevOps Engineer to help build, operate, and continuously improve the secure cloud platforms that power Juvare's mission-critical enterprise resilience solutions. In this role, you'll partner across Engineering and Security to deliver reliable, scalable SaaS environments for commercial and federal customers, with a proven track record operating in regulated settings. Experience supporting AI/MLOps workflows is a plus.

Location
  • Atlanta / Remote
Must Have
  • Cloud Platforms: Strong hands-on experience with AWS and Azure
  • Regulated Environments: Experience operating in FedRAMP High, DoD Impact Level 5 (IL5), or equivalent regulated environments
  • Compliance & ConMon: Strong understanding of Authority to Operate (ATO) processes, compliance, and continuous monitoring (ConMon)
  • GovCloud: Experience working within AWS GovCloud or secure boundary environments
  • Databases: Operational experience with managed databases (backup/restore, replication, performance, and access management; Azure SQL and Aurora PostgreSQL preferred)
  • Infrastructure as Code: Experience with infrastructure as code (Terraform)
  • CI/CD Pipelines: CI/CD pipeline experience (GitLab, GitHub)
  • Automation (AI-Enabled): Experience building workflow automation and developer automation using tools like n8n, Replit, or similar
  • Containers & Orchestration: Strong experience with containers and orchestration (Docker, Kubernetes, AKS, EKS, ECS/Fargate)
  • Monitoring & Observability: Experience with monitoring and observability (Datadog, CloudWatch)
  • Security Tooling: Exposure to security tooling (WAF, SIEM, vulnerability management)
  • Scripting: Strong scripting skills (Python, Bash, Powershell)
  • Production Operations: Experience in production operations (incident response, on-call, RCA)
  • Architecture: Strong understanding of networking, security, and system architecture
  • AI / MLOps:
    • MLOps Pipelines: Experience with MLOps pipelines (training, deployment, monitoring)
    • Tools: Familiarity with tools like SageMaker, MLflow, Kubeflow, or similar
    • Model Deployment: Experience deploying models to production (real-time or batch)
    • Data & Lifecycle: Understanding of data pipelines and model lifecycle management
Nice to Have
  • Experience with LLMs / GenAI workflows (RAG, prompt engineering, fine-tuning)
  • Familiarity with vector databases (Pinecone, Weaviate, OpenSearch)
  • Exposure to AIOps or AI-driven automation
  • Experience with data platforms (Databricks, Snowflake, Redshift)
  • GCP experience a plus; comfort operating with a cloud-agnostic mindset
  • Multi-cloud or hybrid architecture experience
  • Cost optimization and performance tuning
  • Jira / Confluence experience
What We're Looking For
  • Ownership Mindset: Strong sense of ownership in regulated, high-stakes environments — you treat the platform like it's yours
  • Compliance + Speed: Ability to balance compliance, security, and delivery speed without sacrificing one for the other
  • Cross-Team Collaboration: Comfortable working across SysOps, Engineering, and Security teams — you're a bridge, not a silo
Additional Information:

This position requires access to information that is controlled by the Export Administration Regulations ("EAR"). A candidate must qualify as a "U.S. Person" or be otherwise eligible to access EAR covered materials through an EAR exception or license. A "U.S. Person" as defined by the EAR includes a U.S. Citizen, U.S. national, lawful permanent resident, refugee, or asylee.

As the Company is a partner with the United States government, this position may require access to sensitive government information. Accordingly, candidates must be capable of passing an SF-85 background check and obtaining public trust clearance if required.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

EEO Statement

Juvare is deeply committed to building a diverse and inclusive team. We believe in equal opportunity for all applicants and encourage individuals from underrepresented groups in technology to apply. As an equal opportunity employer, we celebrate diversity and are committed to building and maintaining a diverse and inclusive workforce. All qualified applicants and employees will receive consideration for employment regardless of—and will be free from discrimination on account of—their race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, physical condition, developmental disability, genetic information, or any other category protected under applicable law.

Any individuals with a disability requiring a reasonable accommodation to assist with their job search or application for employment should send an e-mail to human-resources@juvare.com. The e-mail should include a description of the requested accommodation and the position you're applying for or interested in.

Affirmative Action: Juvare's Affirmative Action Plan advances our principles of equal opportunity and supports that goal by enlarging our talent pool.