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Staff Platform Engineer

Full-time

eHealth

Role Description

We are seeking a highly experienced, hands-on Staff Platform Engineer with 8+ years of experience specializing in AWS Cloud and Network and the development of Internal Developer Platforms (IDPs) with AI and ML capabilities. As a technical leader and expert, you will:

  • Architect, build, and scale cloud-native platforms that empower engineering teams to develop, deploy, and operate applications efficiently.
  • Have a direct impact on AIOps and MLOps, creating self-service infrastructure, automated workflows, and continuous delivery systems.
  • Ensure performance, scalability, security, and cost-efficiency in AWS cloud environments.
  • Collaborate with multiple teams to define, implement, and optimize the platforms that power the organization’s products.
  • Guide the design of a frictionless internal platform that enables teams to move quickly and autonomously.

Qualifications

  • The ability to lead the design, development, and continuous improvement of an Internal Developer Platform that integrates with AI/ML workflows.
  • Ability to create ChatOps interfaces and maintain self-service tools and automation frameworks.
  • Experience building and maintaining standardized services, templates, and APIs to streamline cloud-based application development.
  • Experience using AI for automated log analysis and anomaly detection.
  • Experience leading the design and optimization of AWS cloud infrastructure using key AWS services.
  • Experience translating natural language requests directly into IaC or environment configurations.
  • Experience optimizing infrastructure for AI model deployment.
  • Experience with design and implementation of LLMs, vector databases, and GPU infrastructure.
  • Ensure AWS environments are scalable, cost-efficient, and resilient.
  • Establish best practices for cost management, performance optimization, and resource utilization.
  • Design and implement CI/CD pipelines using tools like Jenkins, GitLab CI, ArgoCD.
  • Automate CI/CD pipelines with Generative AI.
  • Leverage Infrastructure as Code (IaC) principles and tools like Terraform, CloudFormation, and CDK.
  • Create automation for platform lifecycle management.
  • Ensure security best practices are followed across the platform.
  • Implement and enforce security policies and governance controls.
  • Work with security teams to automate security checks within the CI/CD pipeline.
  • Implement robust monitoring and observability solutions using AWS-native services and third-party tools.
  • Build dashboards and alerting systems for real-time visibility into application and infrastructure health.
  • Lead incident management processes, including root-cause analysis and performance tuning.
  • Provide mentorship and guidance to engineering teams on platform engineering best practices.
  • Foster a culture of innovation, agility, and continuous improvement across engineering teams.
  • Drive technical decision-making and provide leadership on complex technical challenges.
  • Partner with cross-functional teams to define and execute cloud infrastructure and platform initiatives.
  • Communicate technical platform strategies and roadmaps to senior leadership and non-technical stakeholders.
  • Act as a key technical advisor, ensuring platform solutions are optimized for both short-term needs and long-term scalability.

Requirements

  • Bachelor’s or Master’s Degree in Computer Science, Engineering or related fields.
  • 8+ years of experience in platform engineering, cloud architecture, or related fields, with at least 7 years focused on AWS Cloud.
  • Extensive experience in building and managing Internal Developer Platforms (IDPs).
  • Proven track record of successfully designing, implementing, and optimizing large-scale cloud platforms using AWS services.
  • Hands-on experience in AI/ML infrastructure, tools, and frameworks.
  • Extensive experience in designing and implementing complex AWS network architectures and security solutions.

Preferred Qualifications

  • AWS Certified Solutions Architect – Professional (or equivalent certifications).
  • Kubernetes Certified Administrator (CKA) or similar certifications.
  • Familiarity with service mesh technologies or API gateways.
  • Experience with serverless architectures, particularly AWS Lambda.
  • Experience in managing multi-region or multi-cloud AWS environments at scale.
  • Expertise in cloud migrations and legacy system modernization to cloud-native architectures.

Benefits

  • Generous benefits include medical, dental and vision beginning on your first day of employment.
  • 401K with matching.
  • Tuition reimbursement.
  • Employee stock purchase program.
  • 12 company paid holidays and flexible time off (PTO for non-exempt).

Our Values

  • One Team
  • Customer Centric
  • Innovation
  • Integrity
  • Quality
  • Accountability
  • Relentless
  • Financial Stewardship
Vacancy posted 4 days ago
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