Jobgether
Accountabilities: Own observability, logging, and alerting for Kubernetes clusters and critical workloads, ensuring platform health and reliability are clearly monitored. Build and maintain automation covering the full Kubernetes cluster lifecycle, including provisioning, scaling, upgrades, and ongoing operational management. Lead infrastructure cost-optimization initiatives, including workload right-sizing, scheduling improvements, and identifying and eliminating unnecessary Kubernetes spend. Partner directly with engineering teams to shape infrastructure decisions throughout the architecture, development, deployment, and operational lifecycle. Proactively identify reliability bottlenecks and implement durable solutions before they develop into production incidents. Participate in an on-call rotation and respond quickly to service disruptions affecting users. Lead incident response, root-cause investigations, and blameless postmortems for platform and infrastructure issues. Contribute to the continuous improvement of internal developer and data platforms, with a focus on stability, security, performance, and developer experience. Help evolve platform engineering practices through automation, infrastructure-as-code, GitOps, observability, and modern cloud-native technologies. Requirements: 5+ years of professional experience in platform engineering, infrastructure engineering, Site Reliability Engineering, or a related discipline. Demonstrated experience running Kubernetes in production at scale, including day-two operations such as troubleshooting, upgrades, scaling, and reliability management. Experience working with at least one major cloud provider, such as AWS, Google Cloud Platform, or Microsoft Azure. Hands-on experience with Kubernetes cluster autoscaling and workload scheduling technologies such as Karpenter or Cluster Autoscaler. Proficiency with infrastructure-as-code tools such as Terraform, Crossplane, Pulumi, or equivalent technologies. Practical experience with observability technologies and frameworks such as OpenTelemetry, Prometheus, and eBPF. Familiarity with GitOps-based delivery and tools such as Argo CD and Kargo. Experience managing and deploying Kubernetes applications using tools such as Kustomize and Helm. Strong knowledge of Linux systems and low-level operating-system fundamentals. Solid understanding of web and network protocols, including HTTP, TLS, and DNS. Strong programming skills in at least one modern programming language beyond basic scripting, such as Go, Python, or Ruby. Comfortable incorporating AI into daily engineering workflows and using AI as a collaborative development tool. Strong troubleshooting, analytical, communication, and collaboration skills, with the ability to work effectively across engineering disciplines. Nice-to-have experience with multi-region deployments on AWS or another cloud provider. Nice-to-have knowledge of Kubernetes internals and the broader Kubernetes ecosystem, including operators, CNIs, and service meshes. Nice-to-have exposure to or experience with operationalizing canary infrastructure. Benefits: Annual compensation of CA$156,500–CA$215,000, depending on geographic compensation zone. Compensation range does not include potential bonuses, commissions, benefits, or equity that may form part of the overall compensation package. Fully remote position for candidates based in Canada. Flexibility to work from anywhere in Canada. Unlimited paid time off. Health and dental benefits. Up to CA$2,025 toward home-office IT setup. Up to 2% matching RRSP contributions. Learning and development opportunities. Up to CA$67.50 toward internet or mobile phone service. Opportunity to collaborate with a team of creative technical problem-solvers and make a meaningful impact on a growing technology platform. Commitment to an inclusive, safe, and harassment- and discrimination-free workplace. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1