1

From Home Observability Jobs (NOW HIRING)

next page

Showing results 1-20

From Home Observability information

What is the difference between From Home Observability vs From Home Network Monitoring?

AspectFrom Home ObservabilityFrom Home Network Monitoring
Required CredentialsTechnical certifications in observability tools, networking, or cloud platformsNetworking certifications like CompTIA Network+, Cisco CCNA
Work EnvironmentRemote, often involves analyzing system metrics and logsRemote, focuses on monitoring network traffic and performance
Employer & Industry UsageTech companies, SaaS providers, cloud service providersIT departments, internet service providers, enterprise networks
Search & Comparison IntentUnderstanding system health, troubleshooting, performance optimizationDetecting network issues, ensuring connectivity, security monitoring

From Home Observability and From Home Network Monitoring both involve remote work but focus on different aspects of IT infrastructure. Observability emphasizes system metrics and logs for overall health, while Network Monitoring concentrates on network traffic and connectivity. The choice depends on whether the role is more about system performance or network security and stability.

More about From Home Observability jobs
What cities are hiring for From Home Observability jobs? Cities with the most From Home 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 From Home Observability jobs? States with the most job openings for From Home Observability jobs include:
What job categories do people searching From Home Observability jobs look for? The top searched job categories for From Home Observability jobs are:
Infographic showing various From Home Observability job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

AI Backend Engineer, Work From Home

Parallel Partners

San Francisco, CA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 18 days ago


Job description

Company Description
Job Description
AI Backend Engineer, Work From Home
We are looking for talented AI Backend Engineers to build systems that power AI-driven decisioning, automation, and orchestration across our platform. This role sits at the core of our AI stack, between models, backend systems, and real users, where latency, correctness, reliability, and cost directly impact production experience. This is a fully remote position where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems. We have multiple openings for this position. This position is 100% Remote.
AI Backend Engineer Responsibilities:
- Build and operate backend systems that serve AI-powered insurance workflows in production.
- Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic.
- Build inference pipelines for LLM-based and AI-assisted automation systems.
- Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).
- Design stable service boundaries between backend systems, ML components, and product APIs.
- Implement observability: logging, metrics, tracing, alerting, and incident response workflows.
- Debug production issues across distributed AI systems and resolve root causes.
- Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features.
- Continuously improve system reliability, scalability, and performance.
AI Backend Engineer Outcomes:
- AI backend systems run reliably at scale with low latency and high availability.
- AI workflows are stable, observable, and production-ready across multiple products.
- System performance improves continuously through real-world feedback and optimization.
- Production incidents are quickly detected, diagnosed, and resolved.
- AI capabilities are seamlessly integrated into global customer and internal workflows.
Qualifications
AI Backend Engineer Qualifications:
- Strong backend engineering experience in production systems.
- Experience building or operating high-throughput, low-latency services.
- Familiarity with AI Systems (LLMs, Embeddings, or AI Workflows).
- Experience with distributed systems and production debugging.
- Strong understanding of APIs, data flows, and system design principles.
- Experience with observability tools (logging, monitoring, tracing).
- Strong ownership mindset and bias toward shipping.
- Comfortable working in fast-paced, globally distributed teams.
- Tech Stack: Anthropic, Artificial Intelligence (AI), Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, AI Backend Engineer, AI, Anthropic, Artificial Intelligence, Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Low Latency, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
Looking to hire an AI Backend Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire AI Backend Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Additional Information
All your information will be kept confidential according to EEO guidelines.