
Senior Platform Engineer, Cloud Infrastructure
Posted Aug 11

Posted Aug 11
This is a fully remote position, open to applicants in United States, +1 more country.
• Design, develop, and manage production Kubernetes clusters, focusing on networking, workload isolation, and multi-region architectures.
• Engage with Kubernetes internals, including resource quotas, scheduling, NetworkPolicy enforcement, and custom controllers or operators.
• Implement and manage service mesh functionalities, featuring mTLS, workload authentication and authorization, as well as traffic management.
• Enhance the performance, cost-effectiveness, and resource efficiency of containerized workloads.
• Develop, refactor, and sustain production services, controllers, and middleware using Go, Python, or Java.
• Create HTTP, REST, and gRPC interfaces for internal engineering teams.
• Write unit and integration tests.
• Lead incident response efforts, investigate root causes, and document postmortems.
• Diagnose production systems leveraging logs, metrics, traces, and profiling tools.
• Establish and promote SLOs and actionable alerting strategies.
• Manage infrastructure as code and ensure the maintenance of reusable modules.
• Develop and enhance CI/CD and GitOps delivery workflows.
• Strategize and execute cloud migration projects while ensuring reliability and minimizing downtime.
• Create and maintain metrics, dashboards, alerting policies, and distributed tracing.
• Collaborate with product, security, and infrastructure teams to define requirements and architecture.
• Participate in design reviews, set technical direction, and mentor engineers.
• Over 6 years of professional experience in software, platform, infrastructure, or site reliability engineering.
• Extensive experience in the operation of production distributed systems.
• Proven experience in building and managing production Kubernetes platforms.
• Production-level experience programming in Go, Python, or Java.
• Ability to transition systems from ambiguous initial stages to production readiness.
• Experience migrating production cloud services across different providers or environments.
• A degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Strong grasp of Kubernetes internals, including CNI networking, NetworkPolicy, resource management, and cluster behavior under load.
• Practical experience with service meshes such as Istio, Envoy, or Linkerd, along with mTLS and workload identity.
• Solid Linux fundamentals, including knowledge of cgroups and resource management.
• Experience with infrastructure as code at scale using Terraform or equivalent.
• Production experience with cloud platforms such as GCP, AWS, or Azure.
• Familiarity with Prometheus, Grafana, OpenTelemetry, and query languages like PromQL.
• Production experience with relational databases such as PostgreSQL or managed Postgres-compatible services.
• Experience with Docker and container tooling.
• Excellent debugging and performance profiling skills.
• Preferred experience with Go testing frameworks such as Ginkgo and Gomega.
• Preferred experience in building Kubernetes controllers or operators.
• Additional proficiency in Python is preferred.
• Knowledge of IAM technologies such as SSO, Keycloak, OIDC, SAML, or Vault is preferred.
• Experience in designing high availability and disaster recovery solutions across regions or providers is preferred.
• Familiarity with monorepos and build systems like Bazel is preferred.
• Ability to read Java code is preferred.
• Exposure to SOC 2 or GDPR regulations is preferred.
• Experience with Alibaba Cloud is highly preferred.
• Familiarity with Apache Spark and Apache Flink is highly preferred.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication abilities.
• Capability to work independently within a distributed team.
• Comfort in a fast-paced, highly technical environment.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Flexible work hours and remote work options.
• Opportunities for professional development and training.
• Generous paid time off and holiday schedule.
• Collaborative and innovative work environment.
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