Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$185к-215к/год
$170к$200кмедиана$230к
По похожим ролям (50) ~ $200к/год
На СНГ рынке: $3.3к/мес ($2.7к - $4.2к)
85
Хорошая вакансия
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Чётко описанная роль в AI-инфраструктуре предлагает зарплату около рыночной медианы, хорошие льготы и работу с AWS и локальными системами. Сочетание разработки и эксплуатации может сделать задачи довольно разноплановыми.
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Разноплановые задачиЗарплата по рынкуСовременный стекСфера AIХорошие льготы
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
DevOps Machine Learning Infrastructure Engineer (AI): Building and maintaining machine learning applications across AWS EKS and on-premises clusters with an accent on Python APIs, cloud infrastructure, containerization, and DevOps automation. Focus on deploying scalable services, maintaining Ceph and database infrastructure, and troubleshooting development, staging, and production environments.
Location: Redwood City, California, United States. On-site.
Base salary: $185,000–$215,000 per year.
Company
hirify.global develops hardware and software solutions for edge AI deployment, including purpose-built silicon, hardware-agnostic models, and compute-efficient software for speech, audio, sensor, and vision applications.
What you will do
Develop, maintain, and optimize RESTful APIs using Python and FastAPI.
Deploy and manage applications on AWS EKS, ensuring high availability, scalability, and performance.
Integrate MongoDB, PostgreSQL, and other data sources and services for efficient storage and retrieval.
Implement CI/CD pipelines and automate testing and deployment processes.
Maintain on-premises servers and services running Ceph, PostgreSQL, and NFS.
Collaborate across teams, participate in code reviews and pair programming, and troubleshoot issues across development, staging, and production environments.
Requirements
Bachelor’s degree in Computer Science or equivalent work experience.
At least 5 years of relevant experience.
Proficiency in Python and experience with FastAPI for API development.
Hands-on experience deploying, scaling, and managing Kubernetes clusters on AWS EKS.
Knowledge of Docker and Kubernetes containerization technologies.
Experience with AWS services including S3, RDS, and VPCs.
Familiarity with GitLab CI/CD or Jenkins.
Strong understanding of MongoDB, PostgreSQL, and NFS database and storage systems.
Experience with on-premises storage solutions such as Ceph, Linux system administration, clean maintainable code, thorough testing, problem-solving, and attention to detail.
Nice to have
Experience with Prometheus and Grafana cloud-native observability tools.
Familiarity with Kubernetes operators and Helm charts.
Knowledge of on-premises container orchestration using Kubernetes or similar technologies.
Experience with DevOps best practices and infrastructure as code using Terraform or Ansible.
Culture & Benefits
Medical plan options, including PPO and HSA-compatible plans; most plans are fully paid for the employee and family.
Company-paid dental PPO, vision PPO, basic life and AD&D, and short- and long-term disability coverage.
Flexible Spending Account and Health Savings Account options.
401(k) retirement plan and additional voluntary benefits, including accident, critical illness, hospital indemnity, legal support, and identity fraud protection.
Total compensation includes base pay, an annual incentive plan, equity plan participation, and benefits.
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