Senior DevOps Engineer, NewtonX

• Experience: Minimum 5 years in relevant technology roles (DevOps, Platform Engineering, or SRE). At least 1 year in a Senior DevOps position, or 2+ years as a mid-level engineer with demonstrated ownership of production systems
• GCP and Kubernetes: Strong hands-on experience with GCP and production Kubernetes environments. You've operated these at scale, not just deployed to them
• Terraform: Solid infrastructure-as-code knowledge, writing, reviewing, and refactoring independently. Not just running terraform apply
• Strong observability knowledge: Metrics, tracing, logging, and alerting in production. Experience designing on-call workflows and incident runbooks
• Strong security knowledge: IAM least-privilege, identity federation, secret management, network controls. Familiarity with compliance frameworks (SOC2 a plus)
• CI/CD and automation: Building and maintaining pipelines and reusable deployment workflows. Scripting proficiency for tooling and automation

Desirable

• Every engineering team at NewtonX depends on the infrastructure platform layer to build, deploy, and operate their services reliably — but they should depend less and less on DevOps as we automate everything
• That's the mission
• In this role you'll own significant pieces of the platform that keep NewtonX running: the CI/CD pipelines that ship code, the GKE clusters that run it, the observability stack that watches it, and the security controls that protect it
• You won't be maintaining someone else's setup — you'll be improving it, questioning it, and replacing the parts that no longer fit
• The technical challenge: a GCP-native stack spanning GKE, Cloud Run, Dataflow, Cloud SQL, BigQuery, Pub/Sub, and Cloudflare, serving five engineering teams with different deployment patterns and reliability requirements
• If you love building platform infrastructure that quietly makes everyone else's job easier and occasionally loudly fixing things before they break, this is where you'll do meaningful work
• Improve infrastructure reliability: Own GKE workloads, Cloud Run services, and the shared platform layer. Identify single points of failure and eliminate them before they become incidents
• Evolve CI/CD pipelines: Maintain and harden shared GitHub Actions workflows used by all engineering teams. Supply-chain security, EOL runtime upgrades, reusable composites
• Build and operationalize observability: Metrics, logs, alerting, and on-call workflows using Datadog and Prometheus. Design dashboards that surface problems, not noise
• Drive infrastructure-as-code standards: Write, review, and refactor Terraform across all environments. Set the bar for what good IaC looks like at NewtonX
• Improve event-driven autoscaling: Advance KEDA with application-aware custom metrics per workload — moving beyond CPU thresholds to metrics that actually reflect load
• Harden security posture: IAM least-privilege, Workload Identity Federation, SOC2 evidence, Cloudflare Zero Trust, and CI/CD supply-chain controls
• Roll out data anonymization: Implement and scale data anonymization tooling across dev and staging environments to support safe PR deployments and data replication workflows
• Collaborate across teams: Architecture reviews and direct partnership with engineering teams on infrastructure decisions
• ---Our Tech---
• GCP, Terraform, Kong, GitHub Actions,Kubernetes,Datadog,Prometheus, Cloudflare Stack, ElasticSearch, PostgreSQL, Python, and etc