Join us in creating a better way!

At eHealth, our mission is to expertly guide consumers through their health insurance and related options when, where, and how they prefer. We’re creating a better way – one that’s transparent and trustworthy for both our consumers externally and our employees internally.

Move your career forward while connecting countless people to the life- changing, quality care they deserve. Our diverse team of innovators supports one another in solving some of the toughest challenges. We’re always on the lookout for creative opportunities to do right by our customers, and each other. Together, we’re creating a better way to work, united by our common passion to make a difference.

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.

Why Join Us?

If you're passionate about designing world-class cloud platforms and building internal developer tools that empower engineering teams, we want to hear from you. Apply today to help us take our platform to the next level!

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 c

Sr. Staff Platform Engineer at eHealth, Inc.