обновлено 5 дней назад
Software Engineer - Cloud Platform / Reliability (AWS/Kubernetes)
113 050 - 168 300$
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Описание вакансии
Текст:
TL;DR
Software Engineer - Cloud Platform / Reliability (AWS/Kubernetes): Building and maintaining scalable cloud platforms, distributed services, infrastructure tooling, and observability capabilities with an accent on automation, reliability, and high availability. Focus on developing Kubernetes-based services, improving CI/CD and operational workflows, optimizing Linux and database environments, and solving complex incident and performance challenges.
Location: Morrisville, North Carolina, United States. Hybrid working environment with some level of in-office and/or in-person expectations.
Salary: $113,050–$168,300 per year, plus a comprehensive benefits package.
Company
develops intelligent data infrastructure, unified storage, integrated data services, and cloud solutions for enterprise and AI workloads.
What you will do
- Design, develop, test, and maintain scalable cloud platform software and distributed services.
- Build automation and infrastructure tooling for deployments, validation, scheduling, and operational workflows.
- Implement and operate containerized workloads with Kubernetes, including on-premises and Rancher environments.
- Develop CI/CD pipelines and observability solutions with tools such as Dynatrace and Grafana.
- Optimize Linux environments, databases, cloud services, and operational processes for performance and reliability.
- Participate in incident response, root cause analysis, data analysis, and continuous platform improvements.
Requirements
- Experience in software engineering, cloud platform engineering, site reliability engineering, or a related field.
- Strong programming or scripting skills in Python, Shell, or similar technologies, focused on automation and system tooling.
- Experience with distributed or cloud-based applications, Kubernetes, CI/CD pipelines, and public cloud platforms, preferably AWS.
- Solid Linux systems administration experience with RHEL/CentOS, including troubleshooting and performance optimization.
- Experience with observability tools such as Dynatrace or Grafana, and working knowledge of SQL and NoSQL databases.
- Bachelor’s degree in Electrical Engineering or Computer Science with 2+ years of related experience, a master’s degree with 0+ years, or equivalent experience.
Nice to have
- Experience applying automation, data-driven insights, or AI/ML tools to improve system performance or engineering workflows.
Culture & Benefits
- Hybrid work environment supporting collaboration and flexibility.
- Health insurance, life insurance, retirement or pension plans, and paid time off.
- Leave options, performance-based incentives, employee stock purchase plan, and/or restricted stock units, subject to regional variations.
- Culture focused on initiative, ownership, impact, inclusion, and work-life balance.
Hiring process
- Applications are reviewed only when submitted through the company website.
- Some stages for select roles may use AI tools to support application evaluation and candidate selection.
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