6+ years of hands-on experience building and operating production cloud infrastructure
4+ years of deep production experience with Google Cloud Platform (GCP), particularly in a senior or lead capacity
3+ years of strong expertise with Kubernetes in production (preferably GKE), including cluster design, upgrades, troubleshooting, and scaling
Proficiency with Terraform for GCP infrastructure provisioning
Requirements:
Design, deploy, and operate containerized workloads on GKE across enterprise-scale environments.
Manage GCP compute resources (Compute Engine, Cloud Run, GKE Autopilot) for high availability and cost efficiency.
Build and maintain monitoring dashboards and alerting pipelines using Grafana and Google Cloud Operations Suite; integrate LLM observability tooling (LangFuse / LangSmith) to track model performance, latency, and usage across AI services.
Automate end-to-end provisioning, deployment pipelines, and day-2 operations using CI/CD tools (Cloud Build, GitHub Actions, ArgoCD, etc.).
Job description
About Us
RCH Solutions is a rapidly growing global provider of computational science expertise within Life Sciences and Healthcare. At RCH, our team rallies around a culture crafted for learning and achieving. We’re relentless in our pursuit for innovation and demanding of ourselves to deliver a ground-breaking computing experience for our clients, so that they can deliver life-saving science to humanity.
Core Values
At RCH, our Core Values are more than just words—they represent the threads that weave together the fabric of our culture. Used as a guide when interviewing new team members; as a barometer when evaluating our performance as individuals and teams, and even when deciding which customers to work with, RCH’s Values embody the behaviors upon which we measure our success and create a framework for our growth as people and professionals.
Our Core Values:
Embrace Excellence: We strive for best-in-class delivery of innovation and service.
Be Accountable: Integrity, ownership and accountability are non-negotiable.
Adventure Together: We are committed to fostering a culture that embraces continuous improvement.
Succeed as a Team: We believe harnessing the power of a team drives outcomes not achievable by individuals.
Boundaries and Balance: Work-life balance is a core facet of our culture.
If you share in our core values, then we encourage you to continue reading this posting as you may have found a great home for your career.
Job Description
RCH Solutions is seeking multiple Senior Cloud & Container Infrastructure Engineer to join our team of scientific computing experts.You will design, implement, automate, and operate scalable, secure, and highly reliable infrastructure that powers mission-critical applications and services. This is a hands-on senior individual contributor role with strong emphasis on Google Kubernetes Engine (GKE), container-native architectures, infrastructure as code, observability, and security best practices in Google Cloud Platform (GCP). You will serve as a GCP subject-matter expert within the team, mentor engineers, and drive platform improvements that enable developer velocity and business scale.
If you're passionate about building reliable, scalable, developer-friendly platforms on Google Cloud and solving hard container and infrastructure problems at scale, we'd love to hear from you.
Key Responsibilities:
Design, deploy, and operate containerized workloads on GKE across enterprise-scale environments.
Manage GCP compute resources (Compute Engine, Cloud Run, GKE Autopilot) for high availability and cost efficiency.
Operate and scale Weaviate vector database clusters to support production AI and semantic search workloads
Optimize indexing, query performance, and storage configurations as data volumes grow
Collaborate with AI/ML teams to define schema strategies and ingestion pipelines
Build and maintain monitoring dashboards and alerting pipelines using Grafana
Integrate LLM observability tooling (LangFuse / LangSmith) to track model performance, latency, and usage across AI services
Drive incident response, root cause analysis, and continuous reliability improvements
Implement infrastructure-as-code (Terraform / Deployment Manager) for reproducible, auditable deployments and CI/CD integration.
Define and enforce multitenant GKE architecture: cluster security, namespace/tenant isolation, RBAC, network policies, maintenance, and scaling.
Mentor engineers and drive platform adoption and best practices.
Automate end-to-end provisioning, deployment pipelines, and day-2 operations using CI/CD tools (Cloud Build, GitHub Actions, ArgoCD, etc.)
Design and implement observability stacks using Google Cloud Operations Suite (formerly Stackdriver), Prometheus/Grafana, Cloud Logging, Cloud Monitoring, and distributed tracing (Cloud Trace)
Troubleshoot complex production issues spanning compute, networking, storage, and Kubernetes layers
Essential Qualifications:
6+ years of hands-on experience building and operating production cloud infrastructure
4+ years of deep, production experience with GCP, particularly in a senior or lead capacity
3+ years of strong expertise with Kubernetes in production (preferably GKE), including cluster design, upgrades, troubleshooting, and scaling
Expert-level proficiency with Terraform for GCP infrastructure provisioning
