Senior Platform Engineer, Cloud Infrastructure

Accountabilities • Design, build, and operate production Kubernetes clusters, including networking, workload isolation, resource management, scheduling, and multi-region architectures.

• Work deeply with Kubernetes internals, including CNI networking, NetworkPolicy enforcement, cluster behavior under load, resource quotas, and custom controllers or operators.

• Design and operate service mesh capabilities, including mTLS, workload identity, service-account authentication and authorization, and traffic management.

• Optimize containerized workloads for performance, cost efficiency, scalability, and effective resource utilization.

• Develop and maintain production-grade services, Kubernetes controllers, middleware, and platform components using Go, Python, or Java.

• Build HTTP, REST, and gRPC interfaces used by internal engineering teams, while maintaining strong unit and integration test coverage.

• Lead platform-level incident response, troubleshoot distributed systems using logs, metrics, traces, and profiling, and produce postmortems that drive lasting improvements.

• Define and implement SLOs, actionable alerting, dashboards, metrics, and distributed tracing to strengthen platform reliability.

• Own infrastructure as code at scale, creating reusable modules and evolving them as platform requirements change.

• Build and improve CI/CD and GitOps workflows that enable engineering teams to release software safely, frequently, and reliably.

• Plan and execute cloud migration initiatives, including moving production workloads between providers or environments while minimizing disruption and maintaining reliability.

• Partner with product, security, and infrastructure teams to gather requirements, evaluate trade-offs, conduct design reviews, and establish technical direction.

• Mentor engineers and contribute to higher standards of engineering, reliability, testing, and operational excellence.

Requirements

• 6+ years of professional experience in software, platform, infrastructure, or site reliability engineering, including substantial experience operating production distributed systems.

• Demonstrated experience  building and operating production Kubernetes platforms , rather than simply deploying applications onto existing clusters.

• Strong production programming experience in  Go, Python, or Java , with the ability to work effectively in complex existing codebases.

• Experience taking ambiguous technical problems from initial design through production implementation and ongoing operation.

• Proven experience planning and executing cloud migrations involving production workloads across providers or environments.

• Degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.

• Strong understanding of Kubernetes networking, CNI, NetworkPolicy, resource management, scheduling, and cluster behavior.

• Hands-on experience with service mesh technologies such as Istio, Envoy, Linkerd, or equivalent, including mTLS and workload identity.

• Strong Linux fundamentals, including cgroups and resource management.

• Significant infrastructure-as-code experience using Terraform or an equivalent technology.

• Production experience with at least one major cloud platform such as AWS, GCP, or Azure; multi-cloud experience is highly valuable.

• Experience with observability technologies such as Prometheus, Grafana, OpenTelemetry, and PromQL or comparable query languages.

• Production experience with relational databases, particularly PostgreSQL or managed PostgreSQL-compatible services, including an understanding of replication and failover.

• Strong Docker and container tooling experience across the software delivery lifecycle.

• Advanced debugging, troubleshooting, and performance-profiling capabilities.

• Experience with Kubernetes controllers, operators, API-server extensions, or Go testing frameworks such as Ginkgo and Gomega is an asset.

• Additional Python expertise and the ability to read Java are valuable.

• Experience with identity and access technologies such as SSO, Keycloak, OIDC, SAML, Vault, or cloud-based secrets management is preferred.

• Experience designing high-availability and disaster-recovery architectures across regions or cloud providers is an advantage.

• Familiarity with monorepos, Bazel, compliance frameworks such as SOC 2 or GDPR, and reliability considerations for LLM-backed systems is beneficial.

• Experience with Alibaba Cloud and large-scale data technologies such as Apache Spark or Apache Flink is highly preferred.

• Strong analytical and problem-solving skills, excellent written and verbal communication, and the ability to produce clear design documents and postmortems.

• Comfortable working independently in a distributed, fast-moving, highly technical environment while collaborating effectively across teams.

Benefits

• Fully remote position open to candidates in Canada.

• Senior-level opportunity with significant technical ownership and influence over cloud infrastructure.

• Opportunity to work with Kubernetes, cloud platforms, service mesh, observability, infrastructure as code, and modern software engineering practices.

• Exposure to complex, multi-quarter initiatives including cloud migrations and large-scale reliability improvements.

• Collaborative distributed environment with opportunities to mentor engineers and shape engineering standards.

• Flexible remote collaboration across an international technical team.

• Opportunity to contribute to innovative cloud-native infrastructure and emerging technologies, including AI-enabled systems.

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