Full stack developer for a data control plane

Macquarie Group

Greater London

Hybride

GBP 90 000 - 130 000

Temps partiel

Il y a 6 jours
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Avantages offerts par ce poste

Wellbeing leave
Parental leave
Fertility leave
Volunteer leave
Salary sacrifice options
Medical and life insurance
Employee Assistance Program
Learning and development
Dependent care services
Recognition and awards
Hybrid/flexible working
WFH equipment reimbursement

Résumé du poste

Macquarie Group приглашает опытного full-stack инженера для разработки Data Control Plane и новых возможностей взаимодействия с данными на платформах AWS. Ваша задача — строить масштабируемые сервисы, API и UI для работы с большими объёмами данных.

Требуется экспертиза в FastAPI, React/TypeScript, облако AWS, CI/CD и IaC; работа в гибридном режиме в Лондоне или удаленно по роли. Компания обеспечивает поддержку, обучение и благоприятные условия.

Qualifications

  • Полный стек разработки, опыт запуска новых продуктов
  • Сильная бэкенд-разработка на Python с API
  • Эксperience в React и TypeScript
  • Опыт облачных решений AWS, контейнеризации и serverless
  • CI/CD, Infrastructure as Code и Git-воркфлоу, тестирование и безопасность
  • Опыт работы с AI-инструментами и интеграция LLM
  • Будет плюсом: Bedrock/AgentCore, LangGraph

Responsabilités

  • Помочь сформировать и построить Data Control Plane с нуля.
  • Создавать удобные UX для поиска и взаимодействия с данными.
  • Разрабатывать функции для каталога, поиска, таблиц и визуализаций.
  • Решать проблемы производительности больших наборов данных.
  • Проектировать и поддерживать APIs и backend-сервисы.
  • Разрабатывать безопасные, высокопроизводительные сервисы на SQL.
  • Работать над асинхронной обработкой, пагинацией, кэшированием.
  • Интеграция с IAM, аутентификацией и RBAC.
  • Доз в процессе от дизайна до развёртывания в AWS.
  • Участвовать в архитектуре и инженерных стандартах.
  • Разрабатывать AI-фичи для обнаружения и анализа данных.
  • Интегрировать LLM-сервисы и соблюдать безопасность.

Connaissances

Full-stack
Python backend
React
TypeScript
Cloud AWS
CI/CD
IaC
Git workflows
Testing
Security
AI integration

Outils

FastAPI
AWS
Containers
Serverless
Terraform
CI/CD tooling
Git
Observability
Security tooling

Description du poste

Описание:

Across Commodities and Global Markets, data is fundamental to how we trade, price, manage risk and make decisions. It flows through market feeds, cloud platforms and specialist systems, each serving different needs across the business.

Задачи:
  • help shape and build the Data Control Plane from the ground up.
  • create intuitive experiences for exploring and interacting with data.
  • develop features including catalogue browsing, search, data-rich grids, visualisations and workflow-driven functionality, working with reusable components, design systems and complex application state.
  • tackle the performance and usability challenges that come with increasingly rich applications and larger volumes of data.
  • design, build and operate the APIs and backend services that power these experiences.
  • develop secure, high-performing services using SQL and relational data models.
  • work across areas such as asynchronous processing, validation, pagination, caching, versioning and error handling to create APIs that can evolve reliably as the platform grows.
  • integrate with identity and access-management services, developing authentication and role-based authorisation that allow people and applications to access data appropriately and securely.
  • take new capabilities from design and development through to deployment and production.
  • help ensure the platform can be released reliably, operated effectively and continually improved as it grows on AWS.
  • contribute to architectural decisions, technical direction and the engineering standards that will support the platform as it grows, applying strong software engineering principles across testing, security, scalability, resilience and maintainability.
  • develop AI-enabled capabilities that create new ways for people to discover and understand data.
  • integrate managed large language model services and apply appropriate evaluation, safeguards and responsible AI practices to make these capabilities useful, reliable and secure.
Требования:
  • Full stack software engineering experience, with a track record of building and launching new products or platforms from the ground up.
  • Strong Python backend development experience, including designing and building production APIs using frameworks such as FastAPI.
  • Strong React and TypeScript experience.
  • Hands-on experience building and deploying applications in the cloud, ideally AWS, using modern approaches such as containers or serverless technologies.
  • Experience with CI/CD, Infrastructure as Code and Git-based development, with a strong understanding of testing, observability, security and maintainability.
  • Ability to contribute to architecture and technical design decisions, including explaining engineering choices and trade-offs.
  • Experience using AI-assisted development tools and integrating large language model or other AI services into applications.
  • Будет плюсом: Exposure to AWS AI technologies such as Amazon Bedrock and AgentCore, as well as familiarity with agent frameworks such as LangGraph, are a plus
Условия:
  • 1 wellbeing leave day per year and a minimum of 25 days of annual leave.
  • 26 weeks' paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks' paid leave for secondary caregivers.
  • Paid fertility leave for those undergoing or supporting fertility treatment.
  • 2 days of paid volunteer leave and donation matching.
  • Access to a wide range of salary sacrificing options.
  • Benefits and initiatives to support your physical, mental and financial wellbeing including, comprehensive medical and life insurance cover.
  • Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services.
  • Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription.
  • Access to company funded emergency and backup dependent care services.
  • Recognition and service awards.
  • Hybrid and flexible working arrangements, dependent on role.
  • Reimbursement for work from home equipment.
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