Senior DevOps Engineer Infrastructure · Remote (worldwide) · Full time View role →

Stat Sniper Inc.; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Stat Sniper Inc. is seeking a senior platform engineer to own the multi-cloud platform that underpins our services. You will operate production workloads across AWS and GCP, tune Kubernetes clusters, and manage data stores and storage with reliability and cost in mind.

You will automate deployments end-to-end, build observability, and maintain security through IAM and secrets. The role requires hands-on cloud experience, a proactive mindset for capacity and performance, and strong

Qualifications

• Senior experience operating production workloads on AWS and GCP.
• Hands-on Kubernetes with autoscaling, rollouts, and debugging.
• Experience with terraform or IaC and container build pipelines.
• Strong security fundamentals: IAM and secret management.
• Proactive observability and cost-management mindset.

Responsibilities

• Run and tune Kubernetes across GKE and EKS, with serverless workloads.
• Own data layer operations: manage Cloud SQL/Postgres, backups, failover.
• Manage S3/Cloud Storage lifecycle, encryption, and IAM.
• Own CI/CD end-to-end; ensure safe production deployments.
• Build observability: metrics, logs, traces, alerts tied to user impact.
• Manage infrastructure as code across clouds; treat cloud spend as metric.

Skills

AWS & GCP Experience

Kubernetes Operations

Terraform or IaC

CI/CD Pipelines

Security & IAM

Tools

Terraform

GitHub Actions

Job description

Own the platform everything else runs on. We are genuinely multi-cloud: Kubernetes, Cloud Run, Cloud SQL, and Pub/Sub on GCP, alongside ECS Fargate, DynamoDB, and S3 on AWS — serving a mobile app, a web app, and a content site that cannot afford to be slow or down during a live slate. You'll make deploys boring, make failures visible, and keep the bill proportionate to the traffic.

What you'll do

• Run and tune Kubernetes (GKE and EKS) plus serverless container workloads on Cloud Run and ECS Fargate.
• Own the data layer's operations: Cloud SQL and Postgres tuning, backups and failover, DynamoDB capacity and cost.
• Manage S3 and Cloud Storage lifecycle, encryption, and IAM so storage stays cheap and correctly locked down.
• Own CI/CD end to end so a merge reaches production safely without a human in the loop.
• Build the observability layer — metrics, logs, traces, alerts that fire on user impact, not on noise.
• Manage infrastructure as code across both clouds, and treat cloud spend as an engineering metric.

What we're looking for

• Senior experience operating production workloads on both AWS and GCP, or deep expertise in one and real fluency in the other.
• Real Kubernetes operations experience — autoscaling, resource limits, rollouts, and debugging a wedged node — not just authoring manifests.
• Hands-on with Fargate, S3, and DynamoDB on AWS, and Cloud Run, Cloud SQL, and Pub/Sub on GCP.
• Infrastructure as code (Terraform or similar) and container build pipelines you have owned.
• Security fundamentals: secret management, least-privilege IAM, and a credential that never reaches a client bundle.

Nice to have

• You have cut a cloud bill substantially without degrading the product, and can say exactly how.
• Experience with a traffic pattern that spikes on a schedule someone else sets — like a kickoff time.
• Incident-response practice: you write the postmortem and the fix lands.