W2// Platform Engineer

Role Name: Platform Engineer_backfill

Work site: Seattle, US (Onsite)

Long term

Visa: H1B Transfer, EAD

Key Responsibilities

• Design, develop, and maintain platform services, frameworks, and automation solutions using Python and other modern programming languages.
• Architect, deploy, and manage Kubernetes platforms, ensuring scalability, reliability, security, and operational excellence.
• Develop and maintain Infrastructure as Code (IaC) solutions using Terraform, enabling repeatable and consistent cloud deployments.
• Design and implement CI/CD pipelines, GitOps workflows, and automated deployment processes.
• Develop reusable platform components, APIs, scripts, and automation tools to eliminate manual operational activities.
• Engineer secure, resilient, and highly available cloud infrastructure across Azure environments.
• Implement observability solutions, including monitoring, logging, tracing, and alerting to ensure platform health and performance.
• Integrate security controls, policy enforcement, secrets management, and compliance requirements into platform solutions.
• Troubleshoot and resolve complex platform, infrastructure, and application deployment issues across distributed environments.
• Lead incident response, root cause analysis, and continuous improvement activities to improve platform reliability.
• Collaborate with application, security, architecture, and operations teams to establish platform standards and best practices.
• Champion engineering excellence through code reviews, testing, automation, documentation, and operational best practices.

Required Skills

• Program developer skills
• Advanced programming experience with Python
• Deep expertise with Kubernetes, Docker, Helm, and containerized workloads
• Strong experience with Terraform and Infrastructure as Code practices
• Cloud platform experience with Azure, AWS, or Google Cloud Platform
• CI/CD tools such as Azure DevOps, GitHub Actions, Jenkins, or ArgoCD
• Experience with observability platforms such as Prometheus, Grafana, Azure Monitor, Datadog, or Splunk
• Strong understanding of networking, security, identity management, and cloud architecture patterns
• Experience building scalable, production-grade platform and developer enablement solutions