Staff Platform Engineer

🕒 il y a 3 mois

🇺🇸 États-Unis – Télétravail

💵 $140 800 - $176 000 / an

⏰ Temps Plein

🔴 Expert

🏗️ Ingénieur Plateforme

👻 Score fantôme 55%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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eHealth, Inc.

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1997

💼 Conseil

🏥 Santé

📦 Logistique

💰 Post-IPO Equity en 2021-01

Consulting • Healthcare • Logistics

eHealth, Inc. est une entreprise spécialisée dans les technologies et services qui met en relation les individus avec des plans et services de santé. La société propose une plateforme qui aide les consommateurs à trouver, comparer et souscrire à des assurances santé, y compris le Medicare, les assurances santé individuelles et familiales, les assurances santé pour les petites entreprises, ainsi que des plans complémentaires. eHealth offre également des services de conseil pour guider les clients dans le processus complexe de sélection du plan le plus adapté à leurs besoins.

Description

• Lead the design, development, and continuous improvement of an Internal Developer Platform integrated with AI/ML workflows • Create ChatOps interfaces, self-service tools, and automation frameworks for infrastructure provisioning, service management, and code deployment • Build standardized services, templates, and APIs for cloud-based application development • Design and optimize AWS cloud infrastructure and network architectures • Ensure AWS environments are scalable, cost-efficient, resilient, highly available, and disaster-ready • Establish cost management, performance optimization, and resource utilization best practices across AWS accounts • Design and implement automated CI/CD pipelines • Automate CI/CD pipelines with Generative AI for secure, scalable AI applications • Automate platform lifecycle management, including environment provisioning, monitoring setup, and scaling strategies • Implement security policies, governance controls, and compliance practices • Automate security checks within CI/CD pipelines and infrastructure provisioning • Implement monitoring and observability solutions and build dashboards and alerting systems • Lead incident management, root-cause analysis, postmortems, and performance tuning • Mentor engineering teams on platform engineering, cloud architecture, and service deployment • Drive technical decisions and provide leadership on platform architecture and infrastructure scalability • Partner with DevOps, Security, Product, and Engineering teams on cloud infrastructure and platform initiatives • Communicate platform strategies and roadmaps to senior leadership and non-technical stakeholders • Act as a technical advisor for short-term platform needs and long-term scalability

🎯 Exigences

• 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 • At least 7 years focused on AWS Cloud • Extensive experience building and managing Internal Developer Platforms (IDPs), with a focus on automation, self-service workflows, and CI/CD • Proven track record designing, implementing, and optimizing large-scale cloud platforms using AWS services • Hands-on experience in AI/ML infrastructure, tools, and frameworks, and evaluating their adoption • Extensive experience designing and implementing complex AWS network architectures and security solutions • Experience with AWS services including EC2, EKS, RDS, Lambda, S3, CloudFormation, CloudWatch, VPC, and IAM • Experience with ChatOps interfaces, self-service tools, and automation frameworks • Experience with standardized services, templates, and APIs • Experience using AI for automated log analysis, anomaly detection, and root-cause identification • Experience translating natural language requests into IaC or environment configurations • Experience optimizing infrastructure for AI model deployment • Experience with LLMs, vector databases, and GPU infrastructure • Experience designing CI/CD pipelines using Jenkins, GitLab CI, or ArgoCD • Experience with IaC tools such as Terraform, CloudFormation, and CDK • Experience implementing security controls for IAM, network security, data encryption, and audit logging • Experience with compliance standards such as SOC 2, GDPR, and HIPAA • Experience with observability tools including CloudWatch, X-Ray, AWS CloudTrail, Prometheus, and Grafana • AWS Certified Solutions Architect – Professional or equivalent certifications preferred • Kubernetes Certified Administrator (CKA) or similar certification preferred • Familiarity with service mesh technologies or API gateways preferred • Experience with serverless architectures preferred • Experience managing multi-region or multi-cloud AWS environments preferred • Expertise in cloud migrations and legacy system modernization preferred • Ideally based in Pacific Time Zone and able to collaborate with the China team Monday through Thursday from 4 pm–7 pm PT

🏖️ Avantages

• Medical, dental and vision beginning on your first day of employment • 401K with matching • Tuition reimbursement • Employee stock purchase program • 12 company paid holidays • Flexible time off (PTO for non-exempt) • Annual performance bonus

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