Staff Software Engineer (Platform & Solutions)

Join our team as a Staff Software Engineer, where you'll have the opportunity to work across various technical domains, including platform engineering, application architecture, infrastructure, automation, DevSecOps, and data pipeline systems. You'll be responsible for architecting and improving cloud foundations, designing and building platform capabilities, managing enterprise Kubernetes clusters, and improving developer experience. Additionally, you'll mentor engineers, evaluate vendors and frameworks, and help improve cloud cost visibility and resource governance. Enjoy benefits such as half-day Fridays, multiple medical plans, 401(k) matching, unlimited PTO, and more.

• Architecting and improving cloud foundations, especially on Google Cloud Platform, to support scalable, secure, well-governed workloads.
• Designing and building platform capabilities across GCP, Kubernetes, serverless, CI/CD, GitOps, observability, AI, and developer tooling.
• Establishing and improving GitOps workflows using tools such as GitHub Actions, Argo CD, Terraform, Helm, and automated release pipelines.
• The right person will be equally comfortable improving cloud foundations, debugging application architecture, building automation, hardening security patterns, improving developer experience, and helping teams make better technical decisions
• Ability to debug and improve systems across application code, infrastructure, data pipelines, networking, deployments, and cloud services
• Significant experience operating as a senior or staff-level engineer across multiple technical domains, not just one specialty
• Extensive, hands-on experience with cloud infrastructure, preferably on Google Cloud Platform, including Terraform, Kubernetes, Docker, cloud-native architecture, and production workload operations
• Strong communication and leadership skills with engineers, product managers, and technical leadership
• A pragmatic problem-solving mindset; this role requires someone who can move quickly between systems, learn on the fly, and create durable solutions without over-engineering
• Experience with observability practices, including metrics, logs, traces, alerting, dashboards, SLOs, and incident response
• Ability to quickly learn unfamiliar systems and make sound technical decisions with incomplete information
• Strong OO background and programming fundamentals, as well as scripting and automation skills using Python or Bash
• 10+ years of professional software engineering experience
• Strong experience designing and maintaining CI/CD pipelines using GitHub Actions, Argo CD, and GitOps principles to enable automated deployment workflows, environment management, and release automation
• Knowledge of GCP Enterprise Foundations Blueprint or similar enterprise cloud foundation patterns
• Clear understanding with GKE, Workload Identity Federation, Artifact Registry, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, or related GCP services
• Familiarity with serverless architectures and event-driven systems
• Examples of building internal developer platforms, self-service infrastructure, golden paths, or platform APIs
• Comfort working with data platform tools such as Airflow, dbt, BigQuery, Snowflake, Data Lakes, Kafka, Pub/Sub, and GCS
• Awareness of SOC 2, PCI, CIS benchmarks, or similar security and compliance frameworks
• Experience modernizing legacy systems, monoliths, deployment processes, or poorly governed cloud environments