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10 часов назад

Senior Software Engineer (Backend/Big Data/AWS/Kubernetes)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Software Engineer (Backend/Big Data/AWS/Kubernetes): Designing and scaling large-scale, data-intensive backend systems and REST APIs with an accent on distributed data pipelines, high-throughput performance, and cloud-native architectures. Focus on optimizing production workloads on Kubernetes, processing massive datasets with Spark/Kafka, and improving system reliability across microservices.

Location: Remote globally, with an expectation to align working hours with Eastern Standard Time (EST) business hours.

Company

hirify.global is a market-leading SaaS company transforming Sales Performance Management (SPM) by empowering revenue leaders with cutting-edge solutions for go-to-market strategies and seller performance.

What you will do

  • Design, build, and scale new features for REST APIs and large-scale, high-volume data processing pipelines.
  • Architect and optimize backend services for high throughput and low-latency performance.
  • Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
  • Work with Spark, EMR, Glue, or Kafka to process and transform very large datasets.
  • Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
  • Mentor developers, guide code reviews, and raise engineering quality standards.
  • Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

Requirements

  • 7+ years of backend or full-stack engineering experience with a strong backend focus.
  • 7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
  • 3+ years working with Typescript/Node.js.
  • Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
  • Strong practical experience deploying and optimizing production workloads on Kubernetes.
  • Proven experience with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, or Kafka.
  • Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.
  • Strong business-level English proficiency to communicate effectively with cross-functional teams.
  • Ability to align working hours with Eastern Standard Time (EST) business hours.

Culture & Benefits

  • Market-leading compensation package.
  • Wellness programs and comprehensive employee insurance coverage (Medical, Dental, Vision, Life).
  • Remote work flexibility and a results-driven work culture.
  • Opportunity to work with the latest tools and technologies in a fast-paced, innovative environment.
  • Annual time off in accordance with legislative requirements.
  • Global connected culture with hubs in Romania, UK, US, Canada, fostering continuous development.

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