> Markdown version of [/jobs/ext/542199-servicenow-senior-platform-engineer](https://www.wearedevelopers.com/jobs/ext/542199-servicenow-senior-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ServiceNow Senior Platform Engineer - **Company:** Matlen Silver - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $208,000.0 - $239,200.0 - **Contract:** Temporary contract - **Skills:** Automation of Tests, Big Data, Operational Data Store, Performance Tuning, Software Engineering, System Availability, Technical Debt, Software Version Control, Servicenow - **Published:** June 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=092fa602aad612b3 ## About the Role Do you have experience in System performance optimization?, Extensive experience in ServiceNow platform engineering, software engineering, or technical operations roles supporting enterprise platforms. * Strong understanding of performance optimization, engineering standards, release practices, and operational resilience. * Hands-on experience improving maintainability, scalability, and observability in complex environments. * Proven ability to balance delivery speed with control, supportability, and long-term platform integrity. Desired Skills Experience supporting service-centric or Service-Aware operating models. * Familiarity with platform lifecycle management, observability practices, and engineering governance. * Background in highly regulated or high-availability environments. * Relevant engineering or platform certifications. ## Description Job Summary: Deliver a Service Aware Organization by standardizing service identity, ownership, dependencies, telemetry, and controls into a machine-readable model that enables end-to-end visibility, enforced accountability, and scalable, automation-driven operations Project Details: Platform Reliability & Performance Engineering * Optimize platform performance for high-volume workflows, large data sets, and expanding automation demand. * Identify and address runtime bottlenecks, performance constraints, and supportability risks. * Establish engineering practices that improve stability under production load. Platform Standards & Engineering Guardrails * Define and enforce technical standards for maintainable, upgrade-safe platform engineering. * Create reusable engineering patterns, review mechanisms, and design guardrails that improve consistency across teams. * Reduce customization sprawl by promoting sound platform design and architectural discipline. Release, Delivery & Environment Engineering * Strengthen delivery practices through version control, automated testing, deployment discipline, and environment consistency. * Improve release predictability and reduce implementation risk through better engineering controls. * Partner with teams to ensure delivery practices support both speed and long-term maintainability. Operational Resilience & Observability * Improve platform observability, health monitoring, and support readiness so issues are detected and addressed earlier. * Use operational data to identify patterns that affect platform reliability, user experience, or delivery quality. * Support resilient engineering responses to incidents, degradation, or scaling pressures. Technical Debt & Platform Sustainability * Prioritize remediation of design choices, customizations, and legacy patterns that create long-term risk or constrain scale. * Guide teams toward implementations that improve the durability and extensibility of the platform over time." ## Related Videos - [Applying Agile Principles to Incident Management ](https://www.wearedevelopers.com/videos/101-applying-agile-principles-to-incident-management) - [Resolving technical debts in software architecture](https://www.wearedevelopers.com/videos/1680-resolving-technical-debts-in-software-architecture) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Valven Atlas: Engineering Intelligence That Delivers](https://www.wearedevelopers.com/videos/1660-valven-atlas-engineering-intelligence-that-delivers) - [Your Code as a Crime Scene](https://www.wearedevelopers.com/videos/1342-your-code-as-a-crime-scene) - [AI in Production: applied AI & enterprise use cases](https://www.wearedevelopers.com/videos/100130-ai-in-production-applied-ai-enterprise-use-cases) ## Related Articles - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [Why Attend a Developer Event in 2026?](https://www.wearedevelopers.com/magazine/688-why-attend-a-developer-event-in-2026) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [The 8 Best Code Testing Tools](https://www.wearedevelopers.com/magazine/402-the-8-best-code-testing-tools) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)