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Saas Ops Infrastructure Engineer Jobs (NOW HIRING)

Deepgram

ML Ops Infrastructure Engineer

$160K - $220K/yr

As an ML Ops Infrastructure Engineer at Deepgram, you will own the critical bridge between research and production -- building the pipelines, deployment systems, and testing infrastructure that take ...

Roboflow

Infrastructure Engineer

$110K - $144K/yr

... operating SaaS applications. • ML/Big Data Ops: Hands-on experience with the infrastructure ... Roboflow is a developer tool for building computer vision models faster and more accurately.

Rudolph Libbe Group

Infrastructure Engineer

Walbridge, OH · On-site

$109K - $143K/yr

Experience managing cloud-connected infrastructure or SaaS/PaaS environments, such as Microsoft 365 ... engineering experience. * Preferred certifications include VCP (VMware Certified Professional ...

Rudolph Libbe Group

$79K - $104K/yr

Experience managing cloud-connected infrastructure or SaaS/PaaS environments, such as Microsoft 365 ... engineering experience. * Preferred certifications include VCP (VMware Certified Professional ...

Rudolph Libbe Group

Infrastructure Engineer

Walbridge, OH · On-site

$109K - $143K/yr

The Infrastructure Engineer is responsible for designing, implementing, optimizing, and maintaining ... party SaaS applications. -Administer and maintain enterprise endpoint management platforms ...

Bayesian Health

Infrastructure Engineer

$110K - $144K/yr

AI Ops Platform Architecture: Architect and build a secure, internal AI Ops platform to safely host and manage AI/ML agents for infrastructure and DevOps optimization. Minimum qualifications * 5+ ...

Roboflow

$79K - $104K/yr

... SaaS applications. * ML/Big Data Ops : Hands-on experience with the infrastructure required for ... AI-Native Engineering: Leveraging LLMs and AI tools to accelerate the development lifecycle--from ...

Vibrant Planet

Infrastructure Engineer

$110K - $144K/yr

ABOUT THE ROLE The Infrastructure Engineer is a hands-on engineering role responsible for designing ... the managed SaaS platforms that host our application tier (e.g. Fly.io, Crunchy Bridge). We ...

RAVE Aerospace GmbH

$130K - $146K/yr

Administer and support SaaS platforms (e.g., Microsoft 365 and other business applications ... working in infrastructure engineering or a similar role * Experience with hybrid environments ...

Tenstreet

Infrastructure Engineer

Bentonville, AR · On-site

$94K - $123K/yr

Tenstreet is a fast-growing, market-dominating SaaS-based solutions provider to the trucking industry. Tenstreet's platform is hosted between its own hardware within a colocation facility and ...

Tenstreet

Infrastructure Engineer

Tulsa, OK · On-site

$98K - $128K/yr

Tenstreet is a fast-growing, market-dominating SaaS-based solutions provider to the trucking industry. Tenstreet's platform is hosted between its own hardware within a colocation facility and ...

Tenstreet

Infrastructure Engineer

Bentonville, AR · Hybrid

$94K - $123K/yr

Tenstreet is a fast-growing, market-dominating SaaS-based solutions provider to the trucking industry. Tenstreet's platform is hosted between its own hardware within a colocation facility and ...

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Saas Ops Infrastructure Engineer information

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$182K

How much do saas ops infrastructure engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for saas ops infrastructure engineer in the United States is $127,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $141,000.00 per year, depending on experience, location, and employer.

What is a SaaS Ops Infrastructure engineer?

SaaS Ops Infrastructure Engineers are IT professionals responsible for designing, implementing, and maintaining the infrastructure that supports Software as a Service (SaaS) platforms. They ensure that cloud-based applications run reliably, securely, and efficiently by managing servers, networks, automation, and monitoring tools. Their role often involves collaborating with development and security teams to optimize deployment pipelines and resolve infrastructure-related issues. SaaS Ops Infrastructure Engineers play a key role in scaling services and improving uptime for end users.

What are the key skills and qualifications needed to thrive as a SaaS Ops Infrastructure engineer?

To thrive as a SaaS Ops Infrastructure Engineer, you need expertise in cloud platforms (such as AWS, Azure, or GCP), infrastructure-as-code, automation, and a solid understanding of networking and security principles, often supported by a relevant degree or certifications like AWS Certified Solutions Architect. Familiarity with tools like Terraform, Kubernetes, Docker, CI/CD pipelines, and monitoring/logging systems is typically essential for managing scalable SaaS environments. Strong problem-solving abilities, effective communication, and a collaborative mindset help you excel when troubleshooting issues and coordinating with development teams. These skills and qualities are critical for ensuring reliable, secure, and efficient operations of SaaS platforms in dynamic production settings.

What are some common challenges faced by SaaS Ops Infrastructure engineers, and how can they be addressed?

SaaS Ops Infrastructure Engineers often encounter challenges such as managing the scalability of cloud environments, ensuring high availability, and maintaining robust security standards. Balancing rapid deployment of new features with system stability can be demanding, especially when collaborating with development and security teams. Addressing these challenges requires implementing automation tools for deployment and monitoring, adhering to best practices for infrastructure as code, and fostering open communication across teams. Staying current with emerging cloud technologies is also essential for continuous improvement.

What are popular job titles related to Saas Ops Infrastructure Engineer jobs?

For Saas Ops Infrastructure Engineer jobs, the most frequently searched job titles are:

Infographic showing various Saas Ops Infrastructure Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

AI/ML Ops & Infrastructure Engineer - Q126

Alpharetta, GA • On-site

R2 Technologies Corporation
See more jobs at R2 Technologies Corporationexternal

$105K - $137K/yr

Full-time

Re-posted 5 days ago

Job description

Overview:
Job Title: AI/ML Ops & Infrastructure Engineer
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: The shift from classical Machine Learning to Generative AI requires a new breed of infrastructure engineering. R2 Technologies is looking for an AI/ML Ops & Infrastructure Engineer to build and manage the operational backbone for our advanced LLM and agentic systems. You will transition beyond basic CI/CD to implement full-lifecycle LLMOps-managing foundation models, fine-tuned adapters, routing logic, and guardrails. Your work will ensure that our AI solutions, including SmartEnt, run with high performance, optimal GPU utilization, and rigorous compliance.
Key Responsibilities: * Design and maintain highly scalable LLMOps pipelines for continuous integration, evaluation, and deployment of machine learning models and AI agents.
  • Deploy and manage containerized AI applications and model inference servers (e.g., vLLM, Ray Serve, NVIDIA Triton) on Kubernetes across multi-cloud environments (AWS, GCP, Azure).
  • Implement comprehensive observability and trace-level logging for multi-step agentic workflows using platforms like LangSmith, W&B Weave, or MLflow.
  • Automate infrastructure provisioning and monitoring using tools like Terraform and agent-driven workflows (e.g., n8n, GitHub Actions).
  • Optimize GPU computing costs, latency, and token usage for high-traffic AI inference endpoints.
  • Enforce security guardrails, toxic output filtering, and robust access policies within the AI deployment infrastructure.
  • Actively utilize AI-assisted coding tools (Copilot, Cursor) to automate infrastructure-as-code (IaC) and streamline Kubernetes management.

Qualifications: *3 years of hands-on experience in MLOps, DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure.
  • Strong proficiency in containerization and orchestration (Docker, Kubernetes).
  • Experience with ML/LLM operational platforms (MLflow, Weights & Biases, Databricks Mosaic AI, or SageMaker).
  • Familiarity with serving open-source or fine-tuned LLMs and optimizing inference performance.
  • Proven experience or strong familiarity working alongside AI coding assistants to enhance productivity.
  • Scripting/programming skills in Python and bash, along with experience in CI/CD automation.
  • Passion for the evolving landscape of AI infrastructure, cost-optimization (FinOps), and system reliability.

Skills:
Nvidia,Infrastructure

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