Manager, Infrastructure Engineering

Summary

Join Wiser Solutions as a Manager, Infrastructure Engineering, leading a team in building and maintaining the core infrastructure of their omnichannel retail intelligence platform. You will work remotely from Canada, collaborating with engineering and product leadership to craft long-term roadmaps and quarterly deliverables. Responsibilities include leading developer experience and cloud infrastructure, building developer-centric platforms, fostering a developer-centric product mindset, and driving AI-first infrastructure innovation. You will also champion infrastructure automation, implement SRE best practices, lead platform consolidation, enhance observability and reliability, and collaborate across engineering teams. The role involves managing a globally distributed high-performing team and fostering a culture of DevOps and ownership. This position requires extensive experience in infrastructure, SRE, or platform engineering, with a strong background in cloud-native systems and DevOps.

Requirements

• 10+ years of professional experience in infrastructure, SRE, or platform engineering, with 2+ years in a people management or technical leadership role
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
• Proven agile leadership experience, including mentoring and coaching high-performing teams, with demonstrated ability to recruit and develop top engineering talent
• Strong ability to lead sprint planning, manage execution roadmaps, and drive cross-functional collaboration with excellent communication skills across technical and non-technical audiences
• Experience treating internal platforms as products, gathering developer feedback, and applying product management principles to infrastructure services
• Experience integrating disparate systems and platforms, ideally in post-acquisition environments or complex legacy migration scenarios
• Proven track record of building internal platforms, CI/CD systems, and developer tooling that improve engineering productivity
• Deep understanding of cloud-native systems, container orchestration (e.g., Kubernetes), and Infrastructure as Code (IaC)
• Hands-on experience migrating legacy infrastructure to modern cloud environments (e.g., AWS, Kubernetes)
• Strong operational expertise in high-availability systems, distributed architectures, and incident response
• Security-first mindset with working knowledge of SOC 2, PCI DSS, and other compliance standards
• Experience or strong interest in leveraging AI/ML for infrastructure optimization, automated troubleshooting, predictive operations, or self-healing systems
• Proficient in Linux system administration and comfortable working at the command line
• Deep familiarity with SRE practices including SLIs, SLOs, error budgets, and reliability reviews
• Experience with DevOps and automation tools such as Vault, Terraform, Atlantis, GitHub Actions, and Kubernetes
• Strong scripting skills, especially in Bash (Python or Go experience is a plus)
• Ability to lead sprint planning, manage execution roadmaps, and drive cross-functional collaboration
• Passion for developer experience, with attention to usability, performance, and documentation
• Excellent communication skills, both verbal and written, across technical and non-technical audiences
• Willingness to participate in after-hours support for critical incidents as needed
• Strong background in systems operations, reliability engineering, and cloud infrastructure best practices
• Track record of hiring and developing top engineering talent and building high-impact teams

Responsibilities

• Lead Developer Experience and Cloud Infrastructure: Manage a team focused on improving the end-to-end experience for developers—from local development to production—while ensuring a stable and scalable cloud-native platform
• Build Developer-Centric Platforms: Design and evolve internal platforms, CI/CD pipelines, and tooling that empower product engineers to ship features faster, safely, and with confidence
• Foster Developer-Centric Product Thinking: Gather developer feedback, measure platform adoption metrics, and iterate based on user needs to ensure your platforms truly serve internal customers
• Drive AI-First Infrastructure Innovation: Lead AI-first approaches to infrastructure automation, predictive scaling, intelligent alerting, and self-healing systems to reduce toil and improve reliability
• Champion Infrastructure Automation: Drive complete automation of infrastructure provisioning, configuration, deployment, and monitoring to enable repeatability, self-service, and reliability
• Implement SRE Best Practices: Introduce and uphold Site Reliability Engineering principles, including error budgets, incident response, and toil reduction to improve system resilience and uptime
• Lead Platform Consolidation: Spearhead platform consolidation efforts resulting from multiple acquisitions, managing technical debt and legacy system migrations while maintaining operational excellence
• Enhance Observability and Reliability: Increase system observability through comprehensive metrics, tracing, and alerting to enable rapid detection and resolution of production issues
• Collaborate Across Engineering: Partner closely with application developers, QA, security, and product teams to ensure infrastructure and developer platforms meet evolving business needs
• Improve SLAs and Operational Excellence: Continuously improve service level indicators (SLIs), objectives (SLOs), and agreements (SLAs) across systems to meet or exceed uptime goals
• Manage a Distributed High-Performing Team: Lead a globally distributed team of infrastructure, DevEx, and SRE engineers; recruit, mentor, and grow the team to meet technical and leadership goals
• Foster a Culture of DevOps and Ownership: Promote ownership and self-service among development teams by building tools and platforms that support full lifecycle responsibility

Preferred Qualifications

• Experience managing large-scale deployments of PostgreSQL, MongoDB, RabbitMQ, or Elasticsearch
• Background in operating hosted or hybrid data center environments
• Familiarity with Windows Server infrastructure, especially in hybrid cloud setups
• Exposure to time-series databases or event-sourced system architectures
• Advanced experience with AI/ML-powered observability, automation, or self-healing infrastructure
• Active participation in incident retrospectives, with a track record of driving systemic improvements

Benefits

Performance-based discretionary bonuses and variable pay plans are available for some positions