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3 дня назад

Advanced Engineer, Investment Technology

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK
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
Advanced Engineer, Investment Technology (Python/SQL/AI): Building and supporting applications, data pipelines, and analytical workflows for investment technology across a cloud environment with an accent on software delivery, data quality, and AI-assisted engineering. Focus on designing production-ready solutions, applying CI/CD and automated testing, supporting cloud migration, and integrating AI/ML and GenAI approaches where they add value.

Location: Henley-on-Thames, Oxfordshire, United Kingdom; at least four full days each week in the advertised office

Company

hirify.global is a global investment management firm providing investment strategies and vehicles to clients worldwide.

What you will do

  • Build, test, deploy, and support applications and services, including Streamlit- and React-based tools, in the cloud environment.
  • Design, develop, and maintain software, data pipelines, and analytical workflows that generate investment analytics and insights.
  • Apply AI-assisted development tools and AI/ML or GenAI techniques to accelerate delivery and solve business problems.
  • Implement CI/CD, automated testing, code quality, observability, and data quality controls for production-ready solutions.
  • Identify and resolve technical problems, supporting monitoring, reporting, and process administration activities.
  • Collaborate with business stakeholders, engineers, Cloud Teams, Enterprise Architecture, Security, and end users.

Requirements

  • Commercial software engineering experience across requirements, design, build, test, deployment, and support.
  • Good knowledge of Python and SQL, plus experience with a cloud data platform such as Snowflake or PostgreSQL.
  • Awareness of AWS compute, storage, networking, and security services.
  • Exposure to CI/CD, automated testing, code quality, observability, and data quality controls.
  • Experience working with business stakeholders to understand requirements.
  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent practical experience.

Nice to have

  • Experience with AI/ML, GenAI, LLMs, RAG, agent-based workflows, or AI-assisted development tools such as GitHub Copilot or Cursor.
  • Knowledge of Streamlit or React, Snowflake integration patterns on AWS, and the AI/ML model lifecycle.
  • Experience in financial services, asset management, investment technology, or an agile environment.
  • AWS or AI/ML certifications and awareness of enterprise architecture, security, and financial-services regulations.

Culture & Benefits

  • Hybrid workplace model with regular collaboration in the advertised office.
  • Company-provided healthcare, income protection, life insurance, and health and wellness benefits.
  • Generous annual leave, pension provisions, enhanced parental leave, and volunteering days.
  • Inclusive recruitment and workplace practices, including support through the Disability Confident Scheme.
  • Opportunities to collaborate across global investment technology and cloud teams.

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