Staff Software Engineer, Platform & Solutions
Los Angeles, CA - USA
Job Summary
This is not a narrow platform role. Success in this role requires someone who can jump into complex problems across the stack quickly understand the system design a practical path forward and build the solution. 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. You will also serve as a senior technical partner across engineering teams stepping into a variety of systems that require ownership and architectural guidance. You crave broad technical ownership and can raise the quality speed and reliability of engineering across the organization.
- 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.
- Managing and evolving enterprise Kubernetes clusters including workload standards deployment patterns security controls and operational practices.
- Building reusable Terraform modules Helm charts templates SDKs scripts and internal tools that reduce repeated manual work.
- Improving developer experience by creating paved roads self-service workflows better documentation standardized environments and reliable delivery pipelines.
- Implementing secure-by-default engineering patterns for IAM Workload Identity Federation secrets management network security auditability and least-privilege access.
- Helping software teams integrate with observability tooling such as OpenTelemetry Prometheus Grafana Sentry or similar systems.
- Troubleshooting difficult production issues across applications infrastructure data workflows cloud services and deployment systems.
- Partnering with application data product and UX stakeholders to design practical solutions to complex business and technical problems.
- Supporting data and AI platform needs where needed including PostgreSQL dbt BigQuery Snowflake CDC Data Lakes and other data tools.
- Comfortable maintaining both infrastructure and DAGs for an orchestration platform at scale preferably Airflow.
- Mentoring engineers and raising the technical bar through code review architecture review pairing documentation and direct implementation.
- Evaluating vendors frameworks and platform tooling with a pragmatic build-versus-buy mindset.
- Helping improve cloud cost visibility resource governance budget controls and FinOps practices.
10 years of professional software engineering experience.
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 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.
Strong OO background and programming fundamentals as well as scripting and automation skills using Python or Bash.
Experience with observability practices including metrics logs traces alerting dashboards SLOs and incident response.
Ability to debug and improve systems across application code infrastructure data pipelines networking deployments and cloud services.
Ability to quickly learn unfamiliar systems and make sound technical decisions with incomplete information.
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.
- 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.
- 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.
- Familiarity with serverless architectures and event-driven systems.
- 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.
Required Experience:
Staff IC
About Company
Wpromote is a leading full-service digital marketing agency delivering results for clients with an agile, outcome-first approach and deep business intelligence.