Senior Platform Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Design and create serverless and containerized services utilizing Go and Python.

• Develop and manage microservices across AWS, Azure, and GCP platforms.

• Apply Infrastructure as Code principles through Terraform.

• Construct and maintain CI/CD pipelines leveraging Jenkins and CloudOS.

• Establish event-driven workflows employing cloud-native messaging and orchestration services.

• Implement scalable data persistence solutions with managed databases and object storage.

• Contribute to the enforcement of security and compliance measures.

• Set up monitoring, logging, tracing, and custom metrics.

• Assist with AI-enabled observability efforts, including smart alerting, anomaly detection, and signal correlation.

• Enhance services for reliability, performance, and cost-effectiveness across different cloud providers.

• Engage in on-call rotations and respond to production incidents.

• Develop automated workflows for cloud account and project provisioning.

• Create self-service APIs for infrastructure requests and governance.

• Establish cross-account and cross-project identity and access controls.

• Generate reusable Terraform modules and service templates.

• Construct and manage Docker images and oversee deployments through container registries.

⛳️ Requirements

• Over 5 years of experience in building and operating production software systems.

• Strong expertise in either Go or Python.

• Practical experience with at least one major cloud provider: AWS, Azure, or GCP.

• Proven experience in designing systems that operate across multiple cloud environments.

• Familiarity with Terraform or CloudFormation.

• Experience with Docker and containerized applications.

• Knowledge of CI/CD tools such as Jenkins and GitHub Actions.

• Solid comprehension of REST APIs, microservices, and event-driven architecture.

• Experience in Git-based, collaborative engineering settings.

• Bachelor’s degree in computer science, Engineering, or equivalent practical experience.

• U.S. citizenship or lawful permanent residency in the U.S.

• Must satisfy applicable government security and eligibility criteria.

• Preferred: experience with multi-cloud architectures that include AWS, Azure, and GCP.

• Preferred: experience within regulated or compliance-focused environments.

• Preferred: familiarity with observability data such as metrics, logs, and traces.

• Preferred: exposure to AI-driven observability or AIOps tools.

• Preferred: understanding of cloud identity systems and governance frameworks.

• Preferred: basic knowledge of Kubernetes principles and container orchestration.

• Preferred: experience with EKS, AKS, or GKE.

🏝️ Benefits

• Annual cash bonuses may be included.

• Stock grants may be included.

• Comprehensive benefits package.

• Health and financial benefits.

• Time away.

• Everyday wellness benefits.

• In-person onboarding and/or in-person ID verification may be required.