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2 дня назад

Software Engineer, Data, AI & UX (Python)

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
Software Engineer, Data, AI & UX (Python): Building scalable backend services, APIs, data pipelines, and data platforms that ingest, process, store, and distribute large volumes of structured and unstructured data with an accent on reliability, scalability, observability, and cost efficiency. Focus on designing production systems, integrating data across multiple platforms, and developing reusable frameworks and orchestration workflows for high-performance data processing.

Location: Stamford, Connecticut, United States

Company

hirify.global is a commodities trading and energy technology company providing risk management and optimization services for renewable power and physical natural gas markets.

What you will do

  • Design, develop, and maintain scalable Python backend services and RESTful APIs for data ingestion, processing, and distribution.
  • Build reliable pipelines for structured and unstructured data from internal and external sources.
  • Develop reusable frameworks, internal libraries, and tooling that simplify data-source onboarding and improve engineering productivity.
  • Design and optimize data platforms, including databases, data lakes, metadata catalogues, and storage solutions.
  • Improve the reliability, scalability, observability, automation, and cost efficiency of production data infrastructure.
  • Collaborate with software, data, and infrastructure engineers to make architecture decisions and deliver data access solutions.

Requirements

  • Professional experience building production backend systems and services with Python.
  • Front-end development experience with Node, React, and React-Redux.
  • Experience designing RESTful APIs, maintaining data pipelines, and automating infrastructure.
  • Strong SQL skills and experience with relational and analytical databases.
  • Experience with AWS services such as ECS, SQS, RDS, Athena, S3, Lambda, or CloudWatch.
  • Experience with containerized applications, modern software delivery practices, messaging, and asynchronous processing.

Nice to have

  • Experience with WebSocket, Airflow, Kafka, Infrastructure as Code, and cloud-native architectures.
  • Experience using AI tools and agentic AI solutions, including LLMs, MCPs, vector databases, AWS Bedrock, LangChain, and PostgreSQL.
  • Familiarity with distributed systems, high-throughput data processing, observability, monitoring, and performance tuning.

Culture & Benefits

  • Collaborative environment spanning multidisciplinary and international teams.
  • Competitive compensation with participation in a discretionary bonus plan.
  • 20 days of annual holiday, excluding US public holidays.
  • Medical, dental, vision, life insurance, 401(k) matching, and supplemental benefits.
  • Access to internal and external training under the Training & Development Policy.

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