2 дня назад
Sr. DevOps Engineer
128 000 - 176 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. DevOps Engineer (AWS/Kubernetes): Designing and maintaining AWS cloud infrastructure, production EKS environments, managed datastores, and self-service CI/CD tooling with an accent on platform modernization, developer experience, and cloud security. Focus on scaling multi-tenant Kubernetes, automating infrastructure with Terraform/OpenTofu and scripting, enforcing IAM and compliance guardrails, and improving reliability and performance.
Location: Remote within the United States
Salary: $128,000–$176,000 annual base salary, plus potential discretionary bonuses
Company
provides evidence-based mental health care through an AI-powered platform combining clinical services and technology.
What you will do
- Design, implement, and maintain AWS cloud infrastructure using Terraform/OpenTofu, Python, and Kubernetes.
- Modernize platform tooling, production EKS environments, and managed datastores including RDS, Aurora, and ElastiCache.
- Build internal platform tools, developer templates, and self-service CI/CD pipelines.
- Automate infrastructure and operations tasks and improve the developer experience in collaboration with engineering, data science, and machine learning teams.
- Operationalize cloud security through vulnerability remediation, IAM policies, and compliance guardrails.
- Monitor system and network performance and implement measures that improve infrastructure availability and reliability.
Requirements
- 5+ years of experience in DevOps, SRE, or infrastructure roles focused on public cloud environments.
- AWS experience, including production administration, scaling, and troubleshooting of multi-tenant EKS environments.
- Experience building modular, reusable Terraform or OpenTofu infrastructure.
- Experience with Helm templates and packages and CI/CD tools such as GitHub Actions, Jenkins, or ArgoCD.
- Strong coding skills in Python, Go, or Bash for automation and internal development tools.
- Strong communication, collaboration, independent problem-solving, and troubleshooting skills.
Nice to have
- Experience with Karpenter, cluster autoscaling, and cloud cost optimization.
- Familiarity with developer self-service tooling or internal developer portals.
- Experience with logging analysis, performance monitoring, and performance tuning.
- Experience supporting machine learning and data science workloads in the cloud, including SageMaker integrations or feature stores.
Culture & Benefits
- Full-time employment with , Inc.
- Medical, dental, vision, FSA/HSA, life, and disability insurance coverage.
- Equity through discretionary restricted stock units and a 401(k) with up to 3% matching.
- Paid vacation, sick days, company holidays, and parental leave.
- Monthly technology allowance, coaching and therapy services, and well-being activities.
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