eHealth, Inc.

Sr. Staff Platform Engineer

Remote Platform Engineering role with clear candidate location fit.

PostedJul 14, 2026

Eligible countries2 accepted countries

Seniority signalSenior

Work settingRemote

Accepted candidate locations

PortugalUSA

AWS CI/CD Kubernetes

Role overview

Sr. Staff Platform Engineer

Requirements and responsibilities

Readable role content extracted into sections for faster review.

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.

What you’ll bring:

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.

Basic Qualifications:

Bachelor’s or Master’s Degree in Computer Science, Engineering or related fields.
12+ years of experience in platform engineering, cloud architecture, or related fields, with at least 8 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)