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3 дня назад

Senior Engineer I, Platform, Cloud (AWS/Kubernetes)

155 000 - 175 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Engineer I, Platform, Cloud (AWS/Kubernetes): Building reusable cloud infrastructure, delivery automation, and operational tooling for investment systems with an accent on AWS, Kubernetes, infrastructure as code, and AI workloads. Focus on designing secure GitOps platforms, automating software delivery, supporting HPC and AI compute, and improving observability, reliability, and cloud cost efficiency.

Location: Boston, Massachusetts, United States; hybrid with on-site work in the Boston office 3 days per week

Base salary: $155,000–$175,000 per year, plus potential discretionary incentive compensation and benefits.

Company

hirify.global is a global, systematic investment manager using advanced technology, rich datasets, and multidisciplinary expertise for data-driven investing.

What you will do

  • Build and operate cloud services and reusable platform tooling across AWS, Kubernetes, and related PaaS/IaaS environments.
  • Develop infrastructure-as-code components with Terraform, CDK8s, Crossplane, and EKS add-ons.
  • Operate GitOps delivery on Kubernetes using ArgoCD, Helm, Kustomize, and GitLab CI.
  • Support AI and quantitative research workloads, including Bedrock-hosted models and HPC compute.
  • Improve observability, availability, security, and cost efficiency using OpenTelemetry, New Relic, CloudWatch, Vault, IAM, autoscaling, and right-sizing.
  • Troubleshoot operational issues, review changes, maintain documentation, and participate in an on-call rotation.

Requirements

  • At least 3 years of engineering experience; a bachelor’s degree in Computer Science or a related field is preferred.
  • Experience building and operating scalable services in AWS, with practical knowledge of Linux, containers, Kubernetes, networking, and storage.
  • Experience with Terraform, Helm, Kustomize, CI/CD, and GitOps tooling such as GitLab CI and ArgoCD.
  • Ability to develop services or libraries in Python and at least one of TypeScript, Go, or C#.
  • Working knowledge of observability, secrets management, cloud security, least-privilege IAM, and Bash/POSIX Shell scripting.
  • Practical use of AI coding assistants and understanding of LLM APIs, retrieval, agentic workflows, and tool/context protocols such as MCP.

Nice to have

  • Financial services experience.
  • Experience with CDK or CDKTF.
  • Exposure to migration strategies for legacy workloads to AWS.

Culture & Benefits

  • Collaborative, intellectually curious environment where ideas are tested and diverse perspectives are welcomed.
  • Flexible hybrid work environment with a casual but focused office culture.
  • Health, retirement, and wellness benefits.
  • Opportunity to work on investment infrastructure, AI workloads, and quantitative research systems.

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