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Remote Observability Jobs in Oklahoma (NOW HIRING)

Cloudbeds

$140K - $180K/yr

Own evaluation, tracing, observability, and quality feedback loops for AI features so the team can ... working with remote-first, globally distributed teams * Experience with API-driven design ...

New

Humana

$102K - $140K/yr

... Enterprise Observability to deliver threat detection services. This role will also lead and ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

$102K - $140K/yr

... Enterprise Observability to deliver threat detection services. This role will also lead and ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

$102K - $140K/yr

... Enterprise Observability to deliver threat detection services. This role will also lead and ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Volt Labs Inc.

Senior QA Engineer

Tulsa, OK · Remote

$115K - $140K/yr

We are a remote-first, high-ownership team operating in a fast-moving growth environment. We care ... Drive observability, monitoring validation, and production issue analysis * Lead API testing ...

Volt, Inc

Senior QA Engineer

Tulsa, OK · On-site +1

$115K - $140K/yr

We are a remote-first, high-ownership team operating in a fast-moving growth environment. We care ... Drive observability, monitoring validation, and production issue analysis * Lead API testing ...

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Remote Observability information

What are some common challenges faced by professionals in a Remote Observability role, and how can they be addressed?

Professionals in Remote Observability often face challenges such as monitoring complex, distributed systems, ensuring reliable data collection, and quickly identifying the root causes of issues without physical access to infrastructure. To address these challenges, it's essential to implement robust monitoring tools, establish clear alerting thresholds, and maintain strong communication with development and operations teams. Regular knowledge-sharing sessions and continuous learning about new observability platforms can also help remote teams stay effective and proactive.

How can I make 2000 a week working from home?

Remote observability roles often pay between $20 and $50 per hour, so earning $2000 weekly typically requires working 40 to 50 hours. Developing skills in monitoring tools, cloud platforms, and scripting can increase earning potential, and certifications like AWS or Kubernetes may help access higher-paying positions. Consistent remote work, strong technical skills, and experience are key to reaching this income level.

What is the difference between Remote Observability vs Remote Monitoring?

AspectRemote ObservabilityRemote Monitoring
FocusComprehensive system insights, including logs, metrics, and tracesTracking specific system metrics and alerts
ToolsOpenTelemetry, Grafana, JaegerNagios, Zabbix, Datadog
Work EnvironmentDevOps, SRE teams managing complex distributed systemsIT operations teams overseeing system health
CredentialsKnowledge of cloud platforms, scripting, and monitoring toolsBasic networking, system administration skills

Remote Observability provides a holistic view of system health through logs, metrics, and traces, enabling proactive troubleshooting. Remote Monitoring focuses on tracking specific metrics and alerts to detect issues. While both roles involve system oversight, observability offers deeper insights for complex environments, whereas monitoring emphasizes real-time alerts for system stability.

What is the salary of observability specialist?

The salary of an observability specialist typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in monitoring tools like Prometheus or Grafana can earn higher salaries.

How can I make $100,000 a year working from home?

In remote observability roles, earning $100,000 annually typically requires a combination of advanced technical skills in monitoring tools, cloud platforms, and scripting, along with experience in system architecture and troubleshooting. Certifications like AWS or Kubernetes can enhance earning potential, and working in a senior or specialized position often offers higher salaries. Building a strong portfolio and gaining experience in high-demand areas can also help achieve this income level remotely.

What are the key skills and qualifications needed to thrive as a Remote Observability Engineer, and why are they important?

To thrive as a Remote Observability Engineer, you need expertise in monitoring, logging, and tracing, typically supported by experience in systems administration or DevOps and a relevant technical degree. Familiarity with observability tools like Prometheus, Grafana, Datadog, ELK Stack, and cloud monitoring platforms, as well as certifications such as AWS Certified Cloud Practitioner or Google Professional Cloud DevOps Engineer, is highly valued. Strong analytical thinking, problem-solving, and effective communication are vital soft skills for diagnosing issues and collaborating with distributed teams. These skills and qualifications ensure reliable system performance, rapid incident response, and seamless user experiences in complex, cloud-based environments.

What is remote observability?

Remote observability refers to the ability to monitor, measure, and understand the state and performance of systems, applications, or infrastructure from a distance, typically using specialized tools and platforms. It is crucial for organizations that operate distributed or cloud-based environments, as it allows teams to detect issues, analyze metrics, and ensure reliability without needing physical access to the hardware. Remote observability often involves collecting logs, metrics, traces, and other telemetry data to provide a comprehensive view of system health and performance.

How to make 1000 a week remotely?

Remote observability roles often pay between $20 and $50 per hour, so earning $1,000 weekly typically requires working 20 to 50 hours. Developing skills in monitoring tools, scripting, and cloud platforms can increase earning potential, and certifications like AWS or Kubernetes may help access higher-paying opportunities.
What are the most commonly searched types of Observability jobs in Oklahoma? The most popular types of Observability jobs in Oklahoma are:
What are popular job titles related to Remote Observability jobs in Oklahoma? For Remote Observability jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Remote Observability jobs in Oklahoma look for? The top searched job categories for Remote Observability jobs in Oklahoma are:
What cities in Oklahoma are hiring for Remote Observability jobs? Cities in Oklahoma with the most Remote Observability job openings:
Remote Observability jobs near you

Senior Software Engineer

Cloudbeds

Remote

$140K - $180K/yr

Other

Posted yesterday

New

Job description

How You'll Make an Impact:

As a Senior Software Engineer on the Core AI Squad, you'll design, build, and operate customer-facing AI platform capabilities that power intelligent product experiences across Cloudbeds. This is a product engineering role focused on production AI systems, agentic workflows, evaluation, and observability - not an internal tooling role. You'll work primarily in Python while collaborating across our broader PHP and Java ecosystem, building systems where correctness, reliability, latency, cost, and model quality are core to the job. Your goal is to help Cloudbeds ship AI-powered customer experiences that are useful, trusted, scalable, and measurable.

Our Core AI Squad:

The Core AI Squad owns the customer-facing AI platform infrastructure, agentic workflows, and evaluation and observability foundations that enable AI-powered experiences across Cloudbeds products. The team builds the production capabilities that let us evaluate models and providers for specific use cases, orchestrate tools and workflows, measure quality over time, and integrate AI safely into real customer journeys. You'll join a senior, product-minded group that values ownership, pragmatic architecture, fast learning, and strong collaboration across product, design, data, and engineering.

What You Bring to the Team:

  • Design, build, and operate customer-facing AI platform services and product features primarily in Python, while integrating with PHP and Java systems as needed
  • Build and evolve agentic harnesses, including agent runtimes, workflow orchestration, tool execution, state management, recovery paths, and evaluation hooks
  • Integrate agents and LLM-powered workflows into production systems with strong attention to reliability, correctness, latency, scalability, and cost
  • Evaluate models and providers for specific product use cases, using clear success criteria and abstractions that keep the platform flexible as the AI ecosystem evolves
  • Own evaluation, tracing, observability, and quality feedback loops for AI features so the team can detect regressions, understand behavior, and improve over time
  • Write clean, well-tested, well-documented code and advocate for engineering best practices, test automation, maintainability, and operational excellence
  • Collaborate with product, design, data, security, and engineering partners to turn ambiguous AI product opportunities into reliable customer-facing features
  • Comfort building, debugging, and operating services that interact with PostgreSQL, SQS, gRPC, and REST APIs, including data models, event streams, service contracts, and versioning
  • Contribute as a senior individual contributor through technical leadership, architecture input, pair programming, code reviews, and mentorship

What Sets You Up for Success:

  • 5+ years of software engineering experience building, shipping, and operating production systems
  • Strong proficiency with Python in production environments, including APIs, services, tests, debugging, and operational ownership
  • Hands-on experience building, integrating, or evaluating agentic systems, agent harnesses, tool orchestration, or LLM-powered workflows
  • Experience with agentic frameworks and tooling such as LangChain, LangSmith, LangGraph, or similar platforms (PydanticAI, CrewAI, etc) 
  • Experience with MCP, vector databases, retrieval patterns, RAG architectures, or AI evaluation platforms
  • Comfortable working across a polyglot stack, especially contributing to or integrating with PHP and Java services when the product requires it
  • Familiarity with prompt and version management, guardrails, tracing, LLM observability, cost and latency optimization, or human-in-the-loop workflows
  • Experience with cloud infrastructure and containerization such as Docker, Kubernetes, and AWS, plus experience working with remote-first, globally distributed teams
  • Experience with API-driven design, distributed systems, data modeling, and reliable service boundaries
  • Strong knowledge of software best practices, design patterns, performance, security-minded development, and testing across unit, integration, and end-to-end levels
  • Excellent problem-solving and debugging skills, especially in complex systems with uncertain or probabilistic behavior
  • Good product sense, customer empathy, strong communication, teamwork, ownership, and time management
  • Business-level English fluency, verbal and written

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $140,000 and $180,000 USD. Please note that we maintain high flexibility, and packages above this range will be considered.  (The salary is only for US-based candidates).

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