C the Signs
Lead CloudOps Engineer
We are looking for a hands‑on Lead CloudOps Engineer to oversee the reliability, scalability, automation, and day‑to‑day operations of our GCP‑based cloud platform. You will drive infrastructure automation, improve developer workflows, enhance observability, and ensure secure, stable platform operations.
While GCP is the primary environment, the role includes operational responsibility for an existing AWS enterprise environment, requiring the ability to troubleshoot issues, maintain existing systems, and support partner teams without owning major AWS architectural redesigns.
This position is ideal for someone who thrives in cloud‑native environments, enjoys automation, and balances engineering rigor with operational excellence. It is a founding member of the CloudOps team in the US and has potential to grow into future leadership and management positions.
Responsibilities
Lead day‑to‑day monitoring and management of GCP infrastructure, focusing on reliability, uptime, security, performance, and compliance.
Manage GKE clusters, including cluster lifecycle, node pools, workload deployment, and operational best practices.
Implement and maintain GCP networking: VPCs, firewall rules, service networking, and private connectivity.
Support data and application teams using GCP services such as BigQuery, Cloud SQL, Pub/Sub, Cloud Storage, Cloud Run, Cloud Functions, and Cloud Run.
Own and maintain Terraform configurations for GCP and AWS using reusable modules, remote state, policy checks, and automation pipelines.
Automate environment provisioning, scaling, and configuration with CI/CD tools such as Cloud Build, GitHub Actions, ArgoCD, or Jenkins.
Build tooling and workflows that improve developer productivity (automated builds, deployments, secrets management, and ephemeral environments).
Build and enhance observability stacks using Cloud Monitoring, Prometheus/Grafana, ELK/Elastic, or OpenTelemetry.
Lead incident response, troubleshooting, RCA generation, and post‑incident improvement efforts.
Define and manage SLOs, error budgets, and operational runbooks.
Ensure secure configurations across cloud services, Kubernetes workloads, secrets storage, and network boundaries.
Implement guardrails and compliance automation using IAM best practices, GCP Organization Policies, and Terraform checks.
Work with security and compliance teams to meet HIPAA, HITRUST, SOC 2, or internal audit requirements.
Maintain stability of a pre‑existing AWS environment by performing tasks such as reviewing IAM roles and security posture, supporting workloads on EC2, ECS, EKS, RDS, S3, troubleshooting infra or networking issues, and managing configurations, upgrades, and patching.
Assist teams that rely on AWS‑hosted systems and ensure smooth integration with GCP‑centric operations.
Lead mentorship of DevOps, CloudOps, and Platform Engineers through pair programming, reviews, and best‑practice sharing.
Partner with development, data, and security teams to build highly reliable, cloud‑native applications and pipelines.
Establish operational standards, documentation, and playbooks for cloud operations.
Qualifications
8+ years of DevOps, CloudOps, or platform engineering experience.
Deep hands‑on experience with GCP, including GKE, workload identity, cluster networking, VPC design, firewalls, load balancers, BigQuery, Pub/Sub, Cloud SQL, Cloud Storage, Cloud Run, Cloud Functions, IAM, KMS, and Secret Manager.
Strong expertise with Terraform, including modules, workspaces, and governance patterns.
Strong CI/CD experience with Git‑based workflows and pipeline automation.
Solid understanding of Linux, networking basics, containerization, and distributed systems.
Experience supporting production workloads in a regulated environment (HIPAA, HITRUST, SOC 2 or similar).
Practical experience supporting AWS operations (not architecture‑heavy) including EC2, EKS, ALB/NLB, S3, RDS, CloudWatch, IAM, and network troubleshooting (VPC, Security Groups, Route 53).
Comfortable maintaining and improving existing AWS infrastructure.
Preferred: Experience with GitOps tools (ArgoCD, Flux). Familiarity with service mesh (Istio, Anthos) or advanced networking. Experience with policy‑as‑code (OPA/Gatekeeper or Sentinel). Background with FinOps/cost optimization. Experience building internal developer platforms or platform engineering teams.
Benefits
Competitive salary and benefits package.
Flexible working arrangements (remote or hybrid options available).
The opportunity to work on life‑changing AI technology that directly impacts patient outcomes.
Join a team that combines cutting‑edge innovation with a mission to save lives and improve health equity.
Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.
#J-18808-Ljbffr
While GCP is the primary environment, the role includes operational responsibility for an existing AWS enterprise environment, requiring the ability to troubleshoot issues, maintain existing systems, and support partner teams without owning major AWS architectural redesigns.
This position is ideal for someone who thrives in cloud‑native environments, enjoys automation, and balances engineering rigor with operational excellence. It is a founding member of the CloudOps team in the US and has potential to grow into future leadership and management positions.
Responsibilities
Lead day‑to‑day monitoring and management of GCP infrastructure, focusing on reliability, uptime, security, performance, and compliance.
Manage GKE clusters, including cluster lifecycle, node pools, workload deployment, and operational best practices.
Implement and maintain GCP networking: VPCs, firewall rules, service networking, and private connectivity.
Support data and application teams using GCP services such as BigQuery, Cloud SQL, Pub/Sub, Cloud Storage, Cloud Run, Cloud Functions, and Cloud Run.
Own and maintain Terraform configurations for GCP and AWS using reusable modules, remote state, policy checks, and automation pipelines.
Automate environment provisioning, scaling, and configuration with CI/CD tools such as Cloud Build, GitHub Actions, ArgoCD, or Jenkins.
Build tooling and workflows that improve developer productivity (automated builds, deployments, secrets management, and ephemeral environments).
Build and enhance observability stacks using Cloud Monitoring, Prometheus/Grafana, ELK/Elastic, or OpenTelemetry.
Lead incident response, troubleshooting, RCA generation, and post‑incident improvement efforts.
Define and manage SLOs, error budgets, and operational runbooks.
Ensure secure configurations across cloud services, Kubernetes workloads, secrets storage, and network boundaries.
Implement guardrails and compliance automation using IAM best practices, GCP Organization Policies, and Terraform checks.
Work with security and compliance teams to meet HIPAA, HITRUST, SOC 2, or internal audit requirements.
Maintain stability of a pre‑existing AWS environment by performing tasks such as reviewing IAM roles and security posture, supporting workloads on EC2, ECS, EKS, RDS, S3, troubleshooting infra or networking issues, and managing configurations, upgrades, and patching.
Assist teams that rely on AWS‑hosted systems and ensure smooth integration with GCP‑centric operations.
Lead mentorship of DevOps, CloudOps, and Platform Engineers through pair programming, reviews, and best‑practice sharing.
Partner with development, data, and security teams to build highly reliable, cloud‑native applications and pipelines.
Establish operational standards, documentation, and playbooks for cloud operations.
Qualifications
8+ years of DevOps, CloudOps, or platform engineering experience.
Deep hands‑on experience with GCP, including GKE, workload identity, cluster networking, VPC design, firewalls, load balancers, BigQuery, Pub/Sub, Cloud SQL, Cloud Storage, Cloud Run, Cloud Functions, IAM, KMS, and Secret Manager.
Strong expertise with Terraform, including modules, workspaces, and governance patterns.
Strong CI/CD experience with Git‑based workflows and pipeline automation.
Solid understanding of Linux, networking basics, containerization, and distributed systems.
Experience supporting production workloads in a regulated environment (HIPAA, HITRUST, SOC 2 or similar).
Practical experience supporting AWS operations (not architecture‑heavy) including EC2, EKS, ALB/NLB, S3, RDS, CloudWatch, IAM, and network troubleshooting (VPC, Security Groups, Route 53).
Comfortable maintaining and improving existing AWS infrastructure.
Preferred: Experience with GitOps tools (ArgoCD, Flux). Familiarity with service mesh (Istio, Anthos) or advanced networking. Experience with policy‑as‑code (OPA/Gatekeeper or Sentinel). Background with FinOps/cost optimization. Experience building internal developer platforms or platform engineering teams.
Benefits
Competitive salary and benefits package.
Flexible working arrangements (remote or hybrid options available).
The opportunity to work on life‑changing AI technology that directly impacts patient outcomes.
Join a team that combines cutting‑edge innovation with a mission to save lives and improve health equity.
Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.
#J-18808-Ljbffr