yoinka

Staff Software Engineer

Insulet

Guadalajara, MexicoFull TimeStaff
Sign in to applyVerified
Location
Guadalajara, Mexico
Employment
Full Time
Work model
On-Site
Level
Staff
Posted

Skills

AWSAzureCI/CDCybersecurityGitGitHub ActionsKubernetesTerraform

About this role

Job Summary

DevOps & Platform Architect – Staff Engineer Overview We are seeking an experienced DevOps & Platform Architect to lead the strategy, architecture, and modernization of DevOps, Platform Engineering, and AI capabilities across the organization. This role will serve as a key architect for next-generation engineering platforms, driving the vision and adoption of self-service engineering, deployment automation, environment management, developer experience, and AI-enabled engineering solutions. The ideal candidate combines deep technical expertise with strong architecture leadership and a passion for transforming engineering productivity, operational resilience, and software delivery at scale. As the DevOps & Platform Architect, you will partner with engineering, operations, and business leaders to establish strategic platform capabilities, accelerate modernization initiatives, and shape the Operations AI roadmap. Why We Need This Role • Establish dedicated architectural ownership for DevOps, Platform Engineering, and AI initiatives. • Accelerate the development of strategic capabilities, including self-service engineering, environment management, deployment automation, developer experience, and AI-enabled engineering solutions. • Provide long-term technology vision and architectural leadership for platform modernization across Operations. Responsibilities • Define and drive the architecture and modernization strategy for DevOps, Platform Engineering, and AI Enablement across Operations, establishing scalable standards, platforms, and practices that improve software delivery, reliability, and engineering productivity. • Architect and lead next-generation platform capabilities, including self-service engineering platforms, environment management, deployment orchestration, parameter management, developer experience platforms, and automation frameworks that accelerate engineering teams and reduce operational overhead. • Shape and execute the Operations AI roadmap by identifying, evaluating, and scaling AI-powered solutions that improve developer productivity, automate operational workflows, enhance decision-making, and drive measurable business outcomes. • Establish reusable platform patterns, governance models, engineering standards, and automation capabilities that promote consistency, scalability, security, compliance, and operational excellence across the enterprise. • Partner with engineering, product, operations, and leadership teams to align DevOps, Platform Engineering, and AI investments with organizational priorities and long-term modernization goals. • Evaluate emerging technologies, platform engineering practices, and AI innovations to continuously evolve the organization's engineering capabilities and technology strategy. • Drive adoption of modern engineering practices, including Platform Engineering, DevSecOps, Infrastructure as Code (IaC), Observability, Automation, AI-assisted development, and Self-Service Engineering. • Provide architectural leadership and technical guidance across multiple teams, influencing technical direction and ensuring alignment to enterprise standards and best practices. Minimum Requirements • 10+ years of experience in DevOps, Platform Engineering, Cloud Engineering, Software Engineering, or Architecture roles. • Proven experience designing and architecting large-scale cloud-native platforms and enterprise engineering solutions. • Deep expertise in DevOps, CI/CD, Infrastructure as Code, Cloud Architecture, Automation, and Software Delivery practices. • Extensive experience with AWS, Azure, Kubernetes, Terraform, GitHub, GitHub Actions, Azure DevOps, Artifactory, and modern engineering toolchains. • Experience defining enterprise architecture standards, technical roadmaps, and modernization strategies. • Strong understanding of Platform Engineering concepts, including self-service platforms, Internal Developer Platforms (IDPs), golden paths, and

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