Staff Platform Engineer

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. You will have a direct impact on AIOps and MLOps, creating self-service infrastructure, automated workflows, and continuous delivery systems, while ensuring performance, scalability, security, and cost-efficiency in AWS cloud environments. As a Staff Platform Engineer, you will be a key technical leader, collaborating with multiple teams to define, implement, and optimize the platforms that power the organization's products. You will be a champion of developer experience, guiding the design of a frictionless internal platform that enables teams to move quickly and autonomously. This job description is tailored for a Staff Platform Engineer who will focus on both AWS Cloud and the development of an Internal Developer Platform. It emphasizes the need for extensive AWS expertise, leadership in platform design, and experience with automation and self-service tooling to enhance developer productivity. What you'll bring: - The ability to lead the design, development, and continuous improvement of an Internal Developer Platform that integrate with AI/ML workflows which enables engineers to autonomously manage and deploy cloud-based services, tools, and applications. - Ability to create ChatOps interfaces and maintain self-service tools and automation frameworks, enabling developers to provision infrastructure, manage services, and deploy code with minimal friction. - Experience building and maintaining a set of standardized services, templates, and APIs to streamline cloud-based application development, focusing on both platform stability and developer experience. - Experience using AI for automate log analysis and anomaly detection identify root causes - Experience leading the designing and optimization of AWS cloud infrastructure using key AWS services like EC2, EKS, RDS, Lambda, S3, CloudFormation, CloudWatch, VPC, and IAM. - Experience translating natural language requests directly into IaC or environment configurations - Experience optimize infrastructure for AI model deployment - Experience with Design and implementation of LLMs, vector databases, and GPU infrastructure to boost developer productivity and enable AI-powered observability. - Ensure AWS environments are scalable, cost-efficient, and resilient, with high availability and disaster recovery capabilities. - Establish best practices for cost management, performance optimization, and resource utilization across the organization's AWS accounts. - Design and implement CI/CD pipelines using tools like Jenkins, GitLab CI, ArgoCD, enabling seamless and automated code deployment across environments. - Automate CI/CD pipelines with Generative AI, and ensuring secure, scalable AI applications. - Leverage Infrastructure as Code (IaC) principles and tools like Terraform, CloudFormation, and CDK to automate infrastructure provisioning, configuration, and management. - Create automation for platform lifecycle management, including environment provisioning, monitoring setup, and scaling strategies. - Ensure security best practices are followed across the platform, with strong controls for IAM, network security, data encryption, and audit logging. - Implement and enforce security policies and governance controls to meet organizational and regulatory compliance standards (e.g., SOC 2, GDPR, HIPAA). - Work with security teams to automate security checks within the CI/CD pipeline and infrastructure provisioning processes. - Implement robust monitoring and observability solutions using AWS-native services (e.g., CloudWatch, X-Ray, AWS CloudTrail) and third-party tools like Prometheus and Grafana to ensure platform health and service performance. - Build dashboards and alerting systems that give development teams real-time visibility into application and infrastructure health. - Lead incident management processes, including root-cause analysis, postmortems, and performance tuning. - Provide mentorship and guidance to engineering teams on platform engineering best practices, cloud architecture, and efficient service deployment techniques. - Foster a culture of innovation, agility, and continuous improvement across engineering teams, encouraging the adoption of best practices for cloud-native development. - Drive technical decision-making and provide leadership on complex technical challenges related to platform architecture and infrastructure scalability. - Partner with cross-functional teams (DevOps, Security, Product, Engineering) to define and execute cloud infrastructure and platform initiatives that align with business objectives. - Communicate technical platform strategies and roadmaps to senior leadership and non-technical stakeholders, ensuring alignment with business goals. - Act as a key technical advisor, ensuring platform solutions are optimized for both short-term needs and long-term scalability. Ideally, this candidate will be based on Pacific Time Zone, as they will be working heavily with the team in China Monday thru Thursday with many collaborative meetings from 4 pm - 7 pm PT. Basic Qualifications: - 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), with a focus on automation, self-service workflows, and CI/CD. - 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, and evaluate their adoption. - 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 (e.g., Istio, Linkerd) or API gateways (e.g., Kong, AWS API Gateway). - Experience with serverless architectures, particularly AWS Lambda, API Gateway, and Step Functions. - Experience in managing multi-region or multi-cloud AWS environments at scale. - Expertise in cloud migrations and legacy system modernization to cloud-native architectures. What we offer (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) *Please note the above is a summary of responsibilities; a full job description is available upon request. Application deadline: November, 2026. #LI-Remote The base pay range reflects the anticipated pay range for this position. The actual base pay offered will depend on various factors including individual skills, experience, performance, qualifications, the department budget, and the location where work is performed. Base pay is one component of eHealth's total rewards package, which also includes an annual performance bonus, plus an array of benefits designed to support employees' personal and professional wellness. For more information on our total rewards offerings, please visit our career site. Base Pay Range -$140,800 - $176,000