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19 часов назад

Senior Platform Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Platform Engineer (AI): Designing and operationalizing enterprise-grade cloud platform capabilities with an accent on autonomous AI-based self-healing infrastructure and predictive FinOps. Focus on architecting scalable AWS solutions, driving infrastructure-as-code practices, and mentoring engineering teams to maximize cloud efficiency.

Location: Onsite in London, UK

Company

hirify.global is a leading global investment banking, securities, and investment management firm committed to solving complex engineering challenges at the speed of markets.

What you will do

  • Design and operationalize enterprise-grade cloud platform capabilities on AWS.
  • Architect autonomous, self-healing infrastructure systems using AI/ML models.
  • Drive AI-powered FinOps and predictive resource optimization to manage cloud spend.
  • Define technical standards and reference architectures for firm-wide cloud adoption.
  • Collaborate with security, networking, and compliance teams to ensure platform governance.
  • Mentor and guide engineers across teams to raise the overall technical bar.

Requirements

  • 10+ years of experience in software or infrastructure engineering.
  • Deep hands-on expertise with AWS services (EC2, EKS, Lambda, S3, IAM, VPC, CloudFormation, CDK).
  • Strong background in platform engineering and building internal developer tools.
  • Proficiency with infrastructure-as-code (Terraform) and container orchestration (Kubernetes).
  • Experience designing and operating large-scale distributed systems.
  • Strong understanding of CI/CD pipelines and DevOps practices.

Nice to have

  • AWS certifications (Solutions Architect Professional, DevOps Engineer).
  • Experience with LLM orchestration frameworks like LangChain or Temporal.
  • Background in financial services or highly regulated environments.
  • Familiarity with observability tools like Datadog, Prometheus, or Grafana.

Culture & Benefits

  • Opportunity to work on cutting-edge AI and cloud infrastructure at a global scale.
  • Commitment to diversity, inclusion, and professional development.
  • Access to firmwide networks, wellness programs, and personal finance offerings.
  • Collaborative environment focused on innovation and solving complex engineering problems.

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