IT - Lead Platform Engineer

Jasper Holdings Inc.•Jasper, IN

4d•Onsite

About The Position

Jasper Engines & Transmissions is seeking a Lead Platform Engineer to drive the next phase of our enterprise platform evolution. This role is a hands-on technical leadership position responsible for shaping, building, and operating the Azure-based platform that powers our Infinity modernization initiative and future digital capabilities across the organization. You will operate at the intersection of Architecture, Platform Engineering, DevOps, and Application Development, translating architectural intent into practical, scalable engineering solutions while enabling development teams to deliver faster, more consistently, and with higher quality. This is not a people management role. Instead, it is a high-impact technical leadership position focused on building platform capability, establishing standards, and improving engineering effectiveness at scale. Over time, this role will help evolve our current DevOps model into a mature Platform Engineering organization focused on self-service enablement, developer experience, and operational excellence.

Requirements

7+ years in Platform Engineering, DevOps, Cloud Engineering, or similar technical leadership roles
Strong hands-on Azure experience, including: Functions, Container Apps, Service Bus, APIM, Cosmos DB, Key Vault
Experience designing: Event-driven and distributed systems, Secure and hybrid cloud architectures
Deep experience with: CI/CD (Azure DevOps), Terraform and Infrastructure as Code
Strong .NET background in enterprise application environments
Experience with observability, monitoring, and production operations
Proven ability to: Lead technical initiatives, Mentor engineers, Translate architecture into execution
Strong communication and cross-team leadership skills

Nice To Haves

Experience supporting multiple development teams through platform capabilities
Experience building or evolving an Internal Developer Platform (IDP)
Experience with GitHub, GitHub Actions, and developer productivity tooling
Exposure to AI-assisted software engineering capabilities
Experience in modernization and cloud transformation programs
Azure certifications (Administrator, DevOps Engineer, Solutions Architect)

Responsibilities

Own the evolution, and operation of the Azure platform supporting Infinity and enterprise applications
Lead implementation of event-driven and cloud-native services including: Azure Functions, Container Apps, Service Bus, API Management, Cosmos DB, Storage, Key Vault
Establish secure, scalable patterns for: Networking, private connectivity, and hybrid integration
Continuously improve platform: Reliability, scalability, performance, security, and cost efficiency
Deliver reusable platform services and standardized patterns across teams
Act as the primary implementation authority for platform architecture and engineering standards
Translate architectural direction into: Repeatable patterns, Reference implementations, Practical engineering guidance
Serve as the first point of escalation for platform and implementation challenges
Reduce delivery friction by aligning architecture with real-world execution
Partner with Architecture, Product, and Engineering teams to ensure successful delivery
Build a platform that accelerates development teams—not controls them
Develop and maintain: Self-service deployment pipelines, Infrastructure provisioning, Monitoring and diagnostics capabilities
Standardize: Tooling, environments, templates, and platform patterns
Improve: Onboarding time, Engineering productivity, Cross-team consistency
Drive adoption of platform capabilities through enablement and coaching
Lead design and continuous improvement of CI/CD pipelines using Azure DevOps and related tooling
Define and maintain Infrastructure as Code using Terraform: Modular, reusable, environment-aligned designs
Automate: Build, test, deploy, rollback, and operational workflows
Improve deployment: Speed, Reliability, Repeatability
Establish platform-wide observability using: Azure Monitor, Application Insights, Grafana
Define and track platform KPIs: Availability, Deployment success rate, Recovery time, Engineering throughput
Lead: Incident response, Root-cause analysis, Long-term remediation
Continuously improve operational maturity and system resilience
Evaluate and enable: AI-assisted development (e.g., GitHub Copilot, MCP workflows), Automation and developer productivity tooling
Identify opportunities to reduce engineering friction across the SDLC
Support the evolution toward: Internal Developer Platforms, Self-service engineering ecosystems
Partner with Architecture and Security to ensure governed adoption of emerging technologies