Senior/Staff Platform Engineer

Accountabilities: Design, build, operate, and continuously improve production Kubernetes platforms, owning cluster architecture, networking, workload isolation, resource management, security, upgrades, scaling, and reliability.

Troubleshoot Kubernetes and infrastructure issues beyond the application layer, including CNI and networking problems, scheduling, node behavior, resource constraints, controllers, and cluster-level failures.

Operate highly available infrastructure across cloud, hybrid, virtualized, and/or bare-metal environments, diagnosing complex issues across Kubernetes, containers, Linux, networking, and underlying infrastructure.

Develop and maintain production tooling and automation using Go, Python, or Java to improve platform operations, deployment, troubleshooting, reliability, and developer experience.

Build internal services, APIs, integrations, and operational tools where needed, while applying sound software engineering practices such as testing, code review, maintainability, and documentation.

Own the reliability and operational health of critical production infrastructure, leading or significantly contributing to incident response, root-cause analysis, durable remediation, and disaster recovery initiatives.

Define and improve SLOs, SLIs, alerting, and operational processes, using logs, metrics, traces, profiling tools, and system-level diagnostics to improve availability, performance, capacity, resilience, and recovery times.

Build and maintain infrastructure as code using Terraform or equivalent technologies, creating reusable patterns and improving automation as the platform evolves.

Develop and improve CI/CD and deployment workflows while balancing delivery speed with reliability, security, scalability, and operational requirements.

Participate in cloud and infrastructure migrations, including dependency analysis, networking, cutover planning, rollback strategies, and production validation.

Build and enhance monitoring, dashboards, logging, distributed tracing, and alerting to improve incident detection, diagnosis, and recovery.

Work directly with customers, engineers, and technical stakeholders to understand requirements, investigate issues, communicate trade-offs, and drive effective technical solutions.

Own complex infrastructure initiatives from problem definition through design, implementation, and production operation, contributing to RFCs, architecture discussions, design reviews, and broader technical direction.

Mentor engineers and help strengthen engineering and operational practices while operating independently in ambiguous situations and taking ownership when immediate direction is unavailable.

Requirements

10+ years of professional experience in Platform Engineering, Site Reliability Engineering, Infrastructure Engineering, DevOps, or related fields is preferred for Staff-level candidates, with significant hands-on experience operating complex production infrastructure and distributed systems.

Demonstrated experience building and operating production Kubernetes platforms is required, rather than experience limited to deploying applications onto existing clusters.

Production programming experience in Go, Python, or Java is required, with the ability to read, debug, maintain, and contribute to production codebases and automation.

Strong experience with production reliability, incident response, troubleshooting, root-cause analysis, and operational ownership is essential.

Demonstrated ability to independently own complex technical initiatives from ambiguous starting points through design, implementation, and production operation.

A degree in Computer Science, Engineering, or a related field is preferred, although equivalent practical experience may be considered.

Deep understanding of Kubernetes infrastructure, including cluster architecture, networking and CNI, NetworkPolicy, scheduling, resource management, nodes, security, RBAC, and cluster behavior.

Strong Linux fundamentals and hands-on experience troubleshooting production systems, combined with a solid understanding of DNS, routing, load balancing, connectivity, and cloud/Kubernetes networking.

Production experience with at least one major cloud platform, such as AWS, GCP, or Alicloud, along with infrastructure-as-code experience using Terraform or equivalent tooling.

Experience with configuration management and automation technologies such as Ansible, Puppet, or similar platforms.

Strong observability expertise using metrics, logs, traces, dashboards, and alerting platforms such as Prometheus, Grafana, OpenTelemetry, Datadog, or equivalent technologies.

Experience with CI/CD infrastructure, Docker, container tooling, modern software delivery practices, high availability, capacity planning, disaster recovery, and production resilience.

Experience planning and executing production cloud or infrastructure migrations, operating large-scale or multi-cluster Kubernetes environments, or working with hybrid, on-premises, virtualized, or bare-metal infrastructure is preferred.

Additional experience with Kubernetes controllers or operators, advanced networking, service mesh, mTLS, workload identity, multi-cloud infrastructure, security hardening, IAM, compliance, capacity planning, performance engineering, or developer platform tooling is highly valued.

Previous technical leadership, mentoring, Staff/Principal-level responsibilities, or experience working directly with external customers in consulting or service-delivery environments is preferred.

Exceptional written and verbal technical communication skills are required, with the ability to explain architecture, risks, trade-offs, and technical decisions clearly to customers, engineers, and technical leadership.

Strong analytical and problem-solving abilities, high ownership, sound technical judgment, and the ability to operate independently in ambiguous environments are essential.

The ideal candidate can influence others without formal management authority and is comfortable taking the lead on complex technical problems without continuous oversight.

This is a hands-on platform and reliability engineering position. Candidates should have personally built, operated, troubleshot, and improved production infrastructure rather than primarily consuming managed services or deploying applications onto Kubernetes.

The role requires availability during core hours aligned with Pacific Time, from 8:00 AM to 5:00 PM PST, as well as participation in an on-call rotation approximately every four to five weeks.

Benefits

Fully remote work arrangement within Canada.

Opportunity to work on large-scale Kubernetes platforms and complex production infrastructure with significant technical ownership.

High degree of autonomy to shape infrastructure architecture, reliability initiatives, automation, and operational practices.

Exposure to cloud, hybrid, networking, observability, CI/CD, security, and distributed systems at scale.

Opportunity to collaborate directly with experienced engineers, technical stakeholders, and customers on challenging infrastructure initiatives.

Ability to influence technical direction, mentor other engineers, and contribute to architecture and engineering best practices.

Remote-first environment designed to support distributed collaboration across North America and Latin America.

Opportunity to work on technically challenging projects where reliability, scalability, automation, and operational excellence are core priorities.

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? 

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