RCH Solutions
Advanced scientific computing services that help accelerate the development of your next scientific breakthrough.
Senior Cloud & Container Infrastructure Engineer
Location
United States
Posted
1 day ago
Salary
Not specified
No structured requirement data.
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:
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:
Additional Information:
Great talent should benefit from a great work environment. If you join our team, you’ll have access to:
**Role is only open to applicants not needing sponsorship now or in the future, no third parties please.
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.
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
- 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
- Strong experience with container technologies: Docker, container registries (Artifact Registry), container security scanning
- Solid understanding of GCP core services: Compute Engine, Cloud Run, Cloud SQL / AlloyDB, Cloud Storage, BigQuery, Pub/Sub, Cloud Functions, VPC, Cloud Load Balancing, Cloud Interconnect
- Experience implementing secure IAM strategies, organization policies, and security controls in GCP
- Proficiency in Linux systems administration, networking fundamentals, and scripting (Bash, Python, Go preferred)
- Experience with modern CI/CD and GitOps practices in cloud environment
- Experience supporting or using HPC environments leveraging SLUR
- Containerization/orchestration (Docker, Kubernetes/GKE)
- Strong understanding of data governance, cataloging, and lineage tools; basic familiarity with regulated environments (GxP, HIPAA).
- Experience assessing existing code and workflows and identifying bottlenecks and optimization opportunities
- Experience in software requirements gathering, documentation, design, and development
- Google Cloud Professional certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer, Professional Kubernetes Engineer)
- Experience with Anthos, Config Management, Policy Controller, or multi-cluster management
- Familiarity with service mesh (Istio/Envoy), ingress controllers (GKE Gateway API / Ingress), and microservices observability
Additional Information:
Great talent should benefit from a great work environment. If you join our team, you’ll have access to:
- A competitive salary and bonus package based on experience
- Comprehensive health and wellness benefits, including Medical, Dental, and Vision Insurance
- Company-provided Life and Long-Term Disability Insurance
- Company-sponsored 401(k) Plan
- Company-provided continuing education benefit
- Team-focused culture and unlimited opportunity for advancement
**Role is only open to applicants not needing sponsorship now or in the future, no third parties please.
Job Requirements
- 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.
- Strong experience with container technologies: Docker, container registries (Artifact Registry), container security scanning.
- Solid understanding of GCP core services: Compute Engine, Cloud Run, Cloud SQL / AlloyDB, Cloud Storage, BigQuery, Pub/Sub, Cloud Functions, VPC, Cloud Load Balancing, Cloud Interconnect.
- Experience implementing secure IAM strategies, organization policies, and security controls in GCP.
- Proficiency in Linux systems administration, networking fundamentals, and scripting (Bash, Python, Go preferred).
- Experience with modern CI/CD and GitOps practices in cloud environment.
- Experience supporting or using HPC environments leveraging SLUR.
- Containerization/orchestration (Docker, Kubernetes/GKE).
- Strong understanding of data governance, cataloging, and lineage tools; basic familiarity with regulated environments (GxP, HIPAA).
- Experience assessing existing code and workflows and identifying bottlenecks and optimization opportunities.
- Experience in software requirements gathering, documentation, design, and development.
- Preferred Qualifications
- Google Cloud Professional certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer, Professional Kubernetes Engineer).
- Experience with Anthos, Config Management, Policy Controller, or multi-cluster management.
- Familiarity with service mesh (Istio/Envoy), ingress controllers (GKE Gateway API / Ingress), and microservices observability.
Benefits
- A competitive salary and bonus package based on experience.
- Comprehensive health and wellness benefits, including Medical, Dental, and Vision Insurance.
- Company-provided Life and Long-Term Disability Insurance.
- Company-sponsored 401(k) Plan.
- Company-provided continuing education benefit.
- Team-focused culture and unlimited opportunity for advancement.
- This is a remote position and the candidate is expected to be able to work on an east coast (US) time schedule.
- Role is only open to applicants not needing sponsorship now or in the future, no third parties please.
Related Guides
Related Categories
Related Job Pages
More Cloud Engineer Jobs
Cloud Engineer2 days ago
Full TimeRemoteTeam 51-200Since 1993H1B No Sponsor
Lead Network & Cloud Engineer overseeing Client's hybrid network architecture and operations
AWSAzureCloudDNS
Cloud Engineer2 days ago
Full TimeRemoteTeam 201-500
The administrator will design, deploy, manage, and operate scalable, highly available, and fault-tolerant systems specifically on Microsoft Azure Government (MAG), ensuring strict adherence to DoD security requirements like SRG and DISA STIGs. Key duties include managing IAM, collaborating on cybersecurity activities, and serving as a subject matter expert providing architectural guidance for naval aviation cloud systems.
United States
Cloud Engineer2 days ago
Full TimeRemoteTeam 10,001+Since 1931H1B Sponsor
Senior AI Cloud Platform Engineer developing and operating GenAI Cloud platforms at Allstate
AWSAzureCloudTerraform
Cloud Engineer2 days ago
Full TimeRemoteTeam 10,001+Since 1931H1B Sponsor
Lead AI Cloud Platform Engineer responsible for cloud application development.
AWSAzureCloudPythonTerraform
