12 часов назад
Cloud Platform Engineer (AWS)
132 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Cloud Platform Engineer (AWS): Designing and maintaining scalable cloud infrastructure and distributed platforms for high-volume data and AI use cases with an accent on Terraform, AWS architecture, CI/CD, and DevSecOps. Focus on automating infrastructure with Terraform and Argo, deploying Lambda and ECS applications, improving Airflow orchestration, and troubleshooting AWS systems.
Location: California, United States
Salary: $132,000–$175,000 per year, plus potential discretionary bonus
Company
is an AI partner for Fortune 500 companies, building enterprise intelligence solutions that support better business decisions.
What you will do
- Design, implement, test, and maintain scalable AWS cloud infrastructure using DevOps best practices.
- Automate and orchestrate cloud resources with Terraform and Argo CD.
- Develop and deploy serverless and containerized applications using Lambda, ECS, and ECR.
- Monitor and troubleshoot cloud services with CloudWatch, CloudTrail, and related observability tools.
- Enhance AWS Airflow orchestration by upgrading the platform, improving logs and errors, and integrating configurable Slack alerts through Apprise.
- Provide customer support through bi-weekly office hours, resolve codebase and AWS infrastructure issues, and document utilities and processes in Confluence.
Requirements
- At least 7 years of experience as a platform engineer, cloud engineer, or in a similar role.
- Strong production experience with AWS architecture, cloud networking, security, VPCs, Security Groups, NACLs, and IAM.
- Proficiency in Terraform, Argo CD, Lambda, ECS, ECR, CloudWatch, CI/CD, containers, and Kubernetes.
- Expertise in Python and Git, with production-quality coding experience; SQL experience is also required.
- Experience building and maintaining distributed platforms for high-volume data and data science use cases.
- Bachelor’s degree in computer science, engineering, or a related field, plus strong communication and problem-solving skills.
Nice to have
- Experience with Snowflake, Airflow, dbt, SageMaker, AWS data services, Jira, Confluence, Scrum, or documentation tools.
- Experience leading engineers, planning user stories, and communicating with technical and non-technical clients.
Culture & Benefits
- Full-time employment with health, dental, vision, life insurance, and disability coverage.
- Benefits eligibility begins on the first day of employment.
- Access to the company 401(k) plan after 30 days.
- 11 paid holidays, 12 weeks of parental leave, and a flexible free-time PTO policy.
- Opportunity to work with an AI partner serving Fortune 500 enterprises.
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