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Observability Site Reliability Engineer Jobs in Missouri

Jobgether

$44 - $58.50/hr

Requirements: The ideal candidate is an experienced observability, SRE, DevOps, or cloud engineering professional with strong expertise in monitoring AI-driven systems and building reliable ...

New

Jobtailor

Site Reliability Engineer

California, MO · On-site

$120 - $160/hr

Use observability data to guide capacity planning, scaling strategies, and resource optimization ... Site Reliability Engineering, Cloud Operations, or Systems Engineering * Strong hands‑on ...

MasterCard

Site Reliability Engineer II

O Fallon, MO

$53.25 - $70.75/hr

Title and Summary Site Reliability Engineer II Site Reliability Engineer II Who is Mastercard? At ... Observability - Ability to use scripting and tooling to implement observability solutions, enabling ...

Mastercard, Inc.

Site Reliability Engineer II

O Fallon, MO · On-site

$53.25 - $70.75/hr

Title and Summary Site Reliability Engineer II Site Reliability Engineer II Who is Mastercard? At ... Observability - Ability to use scripting and tooling to implement observability solutions, enabling ...

The Timberline Group

Dynatrace SRE

Saint Louis, MO · On-site +1

$55.50 - $73.75/hr

Plan and execute Observability build (dashboard, alert) for application team * SRE principles require SLOs that can be measured and accounted for so that understanding of monitoring systems is ...

Boeing

Lead Site Reliability Engineer

Berkeley, MO · On-site

$53.50 - $71/hr

Lead Site Reliability Engineer Company: The Boeing Company The Boeing Company is looking for a Lead ... Experience designing observability platforms, alerting strategies, SLO frameworks, service health ...

Boeing

Lead Site Reliability Engineer

Berkeley, MO

$53.50 - $71/hr

Lead Site Reliability Engineer Company: The Boeing Company The Boeing Company is looking for a Lead ... Experience designing observability platforms, alerting strategies, SLO frameworks, service health ...

Jobtailor

Staff Site Reliability Engineer

California, MO · On-site

$140 - $210/hr

Core Engineering: 10+ years of experience in SRE, DevOps, or Software/Systems Engineering ... Observability: Hands-on experience with monitoring, logging, and tracing stacks (e.g., Prometheus ...

Mastercard, Inc.

Lead Site Reliability Engineer

O Fallon, MO · On-site

$53.25 - $70.75/hr

You see CI/CD, automation, observability, and reliability as foundational engineering disciplines ... on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard ...

MasterCard

Lead Site Reliability Engineer

O Fallon, MO

$53.25 - $70.75/hr

You see CI/CD, automation, observability, and reliability as foundational engineering disciplines ... on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard ...

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All JobsObservability Site Reliability Engineer JobsObservability Site Reliability Engineer Jobs in Missouri

Observability Site Reliability Engineer information

What is the difference between Observability Site Reliability Engineer vs Monitoring Engineer?

AspectObservability Site Reliability EngineerMonitoring Engineer
FocusEnsuring system reliability through observability, automation, and incident responseImplementing and managing monitoring tools and dashboards
SkillsCloud platforms, scripting, incident management, observability toolsMonitoring tools, alerting systems, data analysis
Work EnvironmentDevOps teams, cloud infrastructure, large-scale systemsOperations teams, infrastructure monitoring

While both roles involve system health, the Observability Site Reliability Engineer focuses on comprehensive system reliability using observability practices, whereas Monitoring Engineers primarily manage monitoring tools and alerts. The SRE role emphasizes automation, incident response, and system resilience, making it broader in scope.

What are popular job titles related to Observability Site Reliability Engineer jobs in Missouri? For Observability Site Reliability Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Observability Site Reliability Engineer jobs in Missouri look for? The top searched job categories for Observability Site Reliability Engineer jobs in Missouri are:
What cities in Missouri are hiring for Observability Site Reliability Engineer jobs? Cities in Missouri with the most Observability Site Reliability Engineer job openings:
Observability Site Reliability Engineer jobs near you

AI Observability Engineer

Jobgether

$44 - $58.50/hr

Full-time

Posted 3 days ago

New

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Observability Engineer based in Netherlands.

This role offers the opportunity to build and evolve the observability foundation behind advanced AI platforms.
You will help ensure AI workloads, LLM applications, and cloud infrastructure remain measurable, reliable, and production-ready.
Working at the intersection of AI engineering, cloud platforms, and DevOps, you will design systems that improve visibility, performance, and operational excellence.
You will contribute to monitoring strategies, telemetry pipelines, dashboards, and automation frameworks supporting large-scale AI environments.
The role requires a strong engineering mindset, hands-on technical expertise, and the ability to transform complex operational data into actionable insights.
This is an opportunity to shape the reliability of next-generation AI infrastructure within an innovative and globally distributed environment.

Accountabilities:

As an AI Observability Engineer, you will own the tools, processes, and systems that provide visibility into AI applications, platform services, and infrastructure performance. You will collaborate with engineering teams to improve reliability, detect issues proactively, and establish scalable observability practices.

  • Design, implement, and operate observability solutions for AI workloads, including LLM and agent monitoring.
  • Configure and maintain AI tracing systems to capture latency, token usage, cost, quality metrics, prompt analytics, model versions, and safety signals.
  • Develop internal tooling and automation solutions using Python for instrumentation and data collection.
  • Build and maintain dashboards, metrics, and monitoring solutions using Grafana, Prometheus, and cloud observability platforms.
  • Instrument AI platforms and workloads to provide visibility into health, usage, performance, cost, and service-level objectives.
  • Create actionable telemetry pipelines and operational insights to support platform engineering improvements.
  • Manage infrastructure-as-code workflows using Terraform and maintain CI/CD pipelines for observability tooling.
  • Support incident investigations, troubleshooting activities, and root-cause analysis.
  • Define and improve monitoring strategies around logs, metrics, traces, alerting, SLIs, and SLOs.
  • Collaborate with engineering teams to enhance reliability, scalability, and operational maturity across AI systems.
Requirements:

The ideal candidate is an experienced observability, SRE, DevOps, or cloud engineering professional with strong expertise in monitoring AI-driven systems and building reliable production environments.

  • 5-8 years of experience in observability, Site Reliability Engineering, platform engineering, DevOps, or cloud engineering roles.
  • Strong hands-on experience with Azure Monitor, Application Insights, Log Analytics, and Managed Grafana.
  • Experience working with Langfuse, Grafana, and Prometheus for AI and application monitoring.
  • Solid knowledge of Terraform and CI/CD practices.
  • Strong Python skills for automation, instrumentation, exporters, and internal tooling development.
  • Familiarity with machine learning workloads and AI-specific observability requirements.
  • Understanding of logs, metrics, traces, dashboards, alerting strategies, SLIs, and SLOs.
  • Ability to work effectively in distributed, fast-paced, and collaborative environments.
  • Intermediate or higher English communication skills.

Preferred qualifications include:

  • Experience with PromQL and Kusto Query Language.
  • Knowledge of OpenTelemetry, including Generative AI semantic conventions.
  • Familiarity with LLM evaluation frameworks and AI quality measurement approaches.
  • Experience building AI cost monitoring dashboards and FinOps solutions.
  • Background with alerting systems, on-call processes, and incident management tooling.
  • Experience with Kubernetes and AKS observability.
Benefits:
  • Competitive compensation package.
  • Career development and continuous learning opportunities.
  • Flexible working environment with strong ownership and autonomy.
  • Opportunity to work on impactful AI infrastructure and technology projects.
  • Collaborative culture with highly skilled international teams.
  • Chance to contribute to the evolution of next-generation AI platforms.
  • Fast-paced environment focused on innovation, growth, and meaningful impact.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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