Developer Experience Manager

Summary

Join Wiser Solutions as a Developer Experience Engineering Manager and lead a team dedicated to building and maintaining the core infrastructure that powers our entire platform. You will manage a team focused on improving the developer experience, design and evolve internal platforms, and foster a developer-centric product thinking. You will drive AI-first infrastructure innovation, champion infrastructure automation, and implement SRE best practices. This role also involves leading platform consolidation efforts, enhancing observability and reliability, and collaborating across engineering teams. You will manage a distributed high-performing team, foster a culture of DevOps and ownership, and continuously improve service level indicators. The position requires 10+ years of experience in infrastructure, SRE, or platform engineering, with 2+ years in a people management role.

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
• Base pay is one part of our total compensation package. Pay is established on an individual basis after considering multiple factors such as relevant experience, education, and other qualifications. In addition, we take into account geographical differentials and make sure pay is equitable with our current staff. For this position, our hiring range for base annual pay is estimated to be CAD$175,000 to $200,000 , at the time of this posting