Senior Platform Engineer, Cloud Infrastructure

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🔥 0 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

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Virtasant

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏢 Enterprise

🤝 B2B

Consulting • Enterprise • B2B

Virtasant is a cloud services and optimization company that helps businesses migrate to, manage, and build on public cloud platforms. They combine a proprietary automation platform with managed services and FinOps expertise to reduce cloud costs (claiming average savings of over 50%), support Cloud FinOps programs, and deliver outcome-based engagements rather than hourly or seat-based billing. Virtasant also provides enterprise AI guidance and partners with major cloud providers (AWS, Google Cloud, Azure) to deliver migration, optimization, and 24/7 managed operations.

📋 Description

• Design, build, and operate production Kubernetes clusters, including networking, workload isolation, and multi-region topologies • Work with Kubernetes internals, resource quotas, scheduling, NetworkPolicy enforcement, and custom controllers or operators • Implement and operate service mesh capabilities, including mTLS, workload authentication and authorization, and traffic management • Optimize containerized workloads for performance, cost, and resource efficiency • Write, refactor, and maintain production Go, Python, or Java services, controllers, and middleware • Build HTTP, REST, and gRPC interfaces for internal engineering teams • Write unit and integration tests • Lead incident response, investigate root causes, and author postmortems • Troubleshoot production systems using logs, metrics, traces, and profiling tools • Define and drive SLOs and actionable alerting • Own infrastructure as code and maintain reusable modules • Build and improve CI/CD and GitOps delivery workflows • Plan and execute cloud migration initiatives while maintaining reliability and minimizing downtime • Build and maintain metrics, dashboards, alerting policies, and distributed tracing • Partner with product, security, and infrastructure teams on requirements and architecture • Contribute to design reviews, set technical direction, and mentor engineers

🎯 Requirements

• 6+ years of professional experience in software, platform, infrastructure, or site reliability engineering • Significant experience operating production distributed systems • Demonstrated experience building and operating production Kubernetes platforms • Production experience writing Go, Python, or Java • Experience taking systems from ambiguous starting points to production • Experience migrating production cloud services between providers or environments • Degree in Computer Science, Engineering, or a related field, or equivalent practical experience • Strong understanding of Kubernetes internals, including CNI networking, NetworkPolicy, resource management, and cluster behavior under load • Hands-on experience with a service mesh such as Istio, Envoy, or Linkerd, plus mTLS and workload identity • Solid Linux fundamentals, including cgroups and resource management • Infrastructure as code experience at scale with Terraform or equivalent • Production experience with GCP, AWS, or Azure • Experience with Prometheus, Grafana, OpenTelemetry, and query languages such as PromQL • Production experience with relational databases, including PostgreSQL or managed Postgres-compatible services • Docker and container tooling experience • Strong debugging and performance profiling skills • Experience with Go testing frameworks such as Ginkgo and Gomega preferred • Experience building Kubernetes controllers or operators preferred • Additional Python strength preferred • Experience with IAM technologies such as SSO, Keycloak, OIDC, SAML, or Vault preferred • Experience designing high availability and disaster recovery across regions or providers preferred • Experience with monorepos and build systems such as Bazel preferred • Ability to read Java preferred • Exposure to SOC 2 or GDPR preferred • Experience with Alibaba Cloud highly preferred • Experience with Apache Spark and Apache Flink highly preferred • Strong analytical and problem-solving ability • Clear written and verbal communication • Ability to work independently within a distributed team • Comfort working in a fast-moving, highly technical environment