1

Temporary Observability Jobs (NOW HIRING)

AI Engineer

Pleasanton, CA · On-site

$116.30K - $159.70K/yr

Contribute to MLOps workflows including CI/CD, model lifecycle management, observability, and cloud ... temporary roles are not eligible for the above benefits. Compensation Pay Range: $110k - $130k ...

Senior Cloud Engineer

Knoxville, TN · On-site +1

$53.25 - $71/hr

Enable observability and monitoring through tools like New Relic and custom dashboards ... Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute ...

IT Intern

Bloomington, MN

$15 - $20/hr

... observability tools is a plus Hours/Location: * M-F; core business hours * This is a full-time temporary position / 40 hours per week. (3 month duration with the possibility of extension ...

New

Data Engineer

Saint Paul, MN · Hybrid

$115.40K - $138.60K/yr

Temp - 18 months We are seeking a Sr Data Engineer to join our dynamic team. The ideal candidate ... Ensure data quality, governance alignment, and reliable observability across datasets. Required ...

IT Intern

Bloomington, MN

$15 - $20/hr

... observability tools is a plus Hours/Location: * M-F; core business hours * This is a full-time temporary position / 40 hours per week. (3 month duration with the possibility of extension ...

New

Site Reliability Engineer (m/f/d)

New Bremen, OH · On-site +1

$59.25 - $78.50/hr

Bulletproof Our Voice AI Engine You don\'t build temporary workarounds; you build automated, scalable fortresses. Your focus is on absolute reliability, deep observability, and crafting an ...

We started in workforce--temp staffing, the biggest operational pain point for the manufacturing ... You have strong opinions on design patterns, eval datasets, prompt versioning, observability for ...

next page

Showing results 1-20

Temporary Observability information

See salary details

$11

$18

$30

How much do temporary observability jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for temporary observability in the United States is $18.60, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $21.39 per hour, depending on experience, location, and employer.
What cities are hiring for Temporary Observability jobs? Cities with the most Temporary Observability job openings:
What are the most commonly searched types of Observability jobs? The most popular types of Observability jobs are:
What states have the most Temporary Observability jobs? States with the most job openings for Temporary Observability jobs include:
Infographic showing various Temporary Observability job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 10% Full Time, 73% Part Time, 6% Temporary, and 10% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $38,693 per year, or $18.6 per hour.

Software Engineer - Platform Security

FriendliAI Corp

San Francisco, CA • On-site

Full-time

Posted 12 days ago


Job description

About the job
FriendliAI is seeking a Forward Deployed Engineer (FDE) to assist enterprises in deploying, scaling, and operating generative and agentic AI workloads on FriendliAI infrastructure. You will work directly with customers to solve and implement production-grade applications using our products, such as Serverless Endpoints, Dedicated Endpoints, or Container.
Friendli Container is our service that allows customers to download our inference engine as Docker images and deploy it in their chosen environment, such as private clouds or on-premises. Our Friendli Container can be adopted directly to AWS EKS clusters using our EKS add-on product.
You will work directly on our customers' projects, collaborating with their engineering teams to solve AI inference challenges like scaling, orchestration, and monitoring. This is a hands-on, customer-embedded role. If you have worked in DevOps, platform engineering, or SRE for AI applications, this is your ideal position.
Key Responsibilities
  • Design and implement large-scale deployment architectures for LLM and multimodal inference
  • Deploy and manage containerized workloads across Kubernetes clusters
  • Diagnose production issues, such as performance bottlenecks, and implement temporary fixes as needed
  • Collaborate with customers' DevOps teams to integrate FriendliAI's infrastructure into their CI/CD workflows
  • Develop scripts, Helm charts, and Terraform modules that simplify repeated deployments
  • Contribute field insights to shape our platform reliability, observability, and scaling strategies
  • Lead workshops, technical sessions, or webinars to help customers master infrastructure best practices

Qualifications
  • 3+ years of experience in cloud infrastructure, DevOps, or reliability engineering
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
  • Proficiency with Kubernetes, Docker, Terraform, and Helm
  • Strong foundation in distributed systems, networking, and performance tuning
  • Experience with GPU-based computing and generative AI model serving workloads
  • Strong technical background in backend systems or AI tooling
  • Experience operating workloads on AWS, GCP, or OCI
  • Excellent problem-solving and debugging skills in real-world environments

Preferred Experience
  • Experience deploying large models (LLMs, diffusion models) on GPUs or clusters
  • Familiarity with inference frameworks (Triton, vLLM, TensorRT, DeepSpeed-Inference)
  • Familiarity with observability stacks (Prometheus, Grafana, Loki, ELK, OTEL)
  • Understanding of networking security and compliance frameworks (e.g., SOC 2)
  • Experience supporting on-prem or hybrid-cloud deployments

Benefits
  • A front-row seat to the generative AI infrastructure revolution
  • Competitive compensation and benefits package
  • Daily lunch and dinner provided; unlimited snacks and beverages
  • Health check-up and top-tier hardware support
  • Flexible working hours and a highly collaborative environment

About us
FriendliAI is building the next-generation AI inference platform that accelerates the deployment of large language and multimodal models with unmatched performance and efficiency. Our infrastructure powers high-throughput, low-latency workloads for global organizations and integrates directly with Hugging Face, providing instant access to over 510,000 open-source models. We are on a mission to deliver the world's best platform for AI inference.