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# Platform Engineer

- **Company:** Kforce Inc.
- **Location:** St. Louis, MO, United States
- **Experience:** Expert
- **Salary:** $114,400.0 - $135,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Performance Management, Computing Platforms, Systems Engineering, Microsoft Azure, Bash Shell, Cloud Computing, Code Review, Continuous Integration, DevOps, Github, Intrusion Detection and Prevention, Python (Programming Language), Key Management, Windows PowerShell, Reliability Engineering, Cloud Services, Datadog, Esri GIS (Software), Scripting, Enterprise Software Applications, Cloud Monitoring, GitHub Copilot, Git Flow, Kubernetes, Information Technology, Terraform, Software Version Control
- **Published:** August 19, 2026
- **Apply:** https://www.careerjet.com/job/us439f7c61e8e36fa332d55d42992f2cda/eaa

## About the Role

* Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience
 * 7+ years of experience in site reliability engineering, platform engineering, cloud infrastructure, DevOps, systems engineering, or a related technology role
 * Experience improving reliability, availability, observability, performance, or operability of production systems in cloud or enterprise environments
 * Strong automation skills using at least one scripting language, such as: PowerShell; Bash; Python

Cloud & Platform Technologies:

 * Experience with Azure or a comparable cloud environment, including managed services, identity, networking, monitoring, and operational practices
 * Experience with Kubernetes, containerized runtimes, managed application platforms, or similar enterprise hosting environments
 * Experience with infrastructure-as-code, preferably Terraform, or equivalent tools used to provision and manage cloud infrastructure
 * Working knowledge of platform security fundamentals, including identity, access control, secrets management, secure configuration, and policy-driven controls

Observability & Reliability Practices:

 * Experience with reliability practices, including Metrics, logs, traces, alerting, dashboards, and service health monitoring; Incident response, root cause analysis, corrective action tracking, and runbooks; SLOs, SLIs, production readiness, resilience, and reliability improvement
 * Experience with GitHub or comparable source control workflows that support reliable delivery, including branching strategies, code review practices, workflow automation, and release safety
 * Ability to translate incident learning and operational signals into practical reliability improvements

## Description

* Improve the reliability, availability, performance, scalability, and operability of enterprise applications, platforms, and cloud services
 * Partner with engineering teams to define practical SLOs, SLIs, error budget thinking, service health measures, and production readiness practices
 * Review designs and implementations for failure tolerance, observability, recovery, capacity, and operational readiness
 * Influence architecture decisions with reliability, resilience, and operability as first-class concerns

Service Ownership & Operational Excellence:

 * Establish and maintain practical service health practices in partnership with application and platform teams
 * Strengthen observability using Datadog, OpenTelemetry, Azure Monitor, Application Insights, or comparable tooling
 * Participate in the incident lifecycle, including triage, troubleshooting, coordination, root cause analysis, corrective actions, and reliability follow-through
 * Champion blameless incident learning and ensure findings are converted into durable reliability improvements

Automation & Engineering Enablement:

 * Design and implement automation-first solutions that reduce toil and manual operational work

Build and evolve tooling for:

 * Deployment safety and release confidence
 * Observability, including metrics, logs, and traces
 * Incident detection, response, and recovery
 * Use approved AI-assisted engineering tools such as GitHub Copilot and OpenAI Codex responsibly in day-to-day delivery, and share practical patterns that accelerate reliability improvements, troubleshooting, documentation, and automation

Scale, Performance & Resilience:

 * Identify and address reliability, scalability, performance, and operability risks across applications, platforms, and shared services, Job Category: Engineering and Sciences Job Description: SAIC is hiring a DevOps or CI/CD Engineer to support automated, secure, high-performance CI/CD pipelines for Esri techno…
 + 10 days ago
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