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Backend Engineer (AI)

Формат работы
hybrid
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

Текст:
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TL;DR
Backend Engineer (AI): Building secure microservices, data aggregation and alerting solutions for an identity security platform with an accent on cloud data stores, distributed data flows, and infrastructure automation. Focus on optimizing large-scale data processing, integrating AI-assisted automation, and maintaining secure, observable Azure services.

Location: Hybrid in Mexico City, working from the Reforma office on Tuesday, Wednesday, and Thursday.

Company

hirify.global develops a cloud-native identity security platform for governing human and machine identities, access, analytics, and threat response.

What you will do

  • Architect, develop, test, and maintain secure microservices, data models, aggregations, alerting, and analytics.
  • Design and orchestrate near-real-time and post-aggregation data flows across relational, document, graph, and big-data stores.
  • Optimize SQL, map/reduce, queue-processing, and other data-flow operations while ensuring integrity, availability, and security.
  • Implement Terraform-based infrastructure as code and maintain secure CI/CD pipelines with Azure DevOps.
  • Collaborate with architects, product managers, and DevOps teams on secure and privacy-compliant roadmaps.
  • Conduct code and design reviews, mentor engineers, and drive AI-assisted automation and context-aware security.

Requirements

  • Bachelor’s or Master’s degree in computer science, software engineering, or a related technical field.
  • 5+ years of backend development experience with Python, C#, or a similar language.
  • Experience working in microservice environments, including services written in Python and C#.
  • Experience with Azure and/or AWS, Kubernetes, and relational and NoSQL databases such as Azure SQL, Cosmos DB, PostgreSQL, or MongoDB.
  • Strong understanding of data modeling, query optimization, and transactional consistency in distributed environments.
  • Expertise in Terraform for Azure Cloud and experience with CI/CD tools such as Azure DevOps, GitHub Actions, or Jenkins.
  • Practical experience integrating AI/ML systems using the Model Context Protocol or similar AI frameworks.
  • Deep understanding of cloud security, identity management, and privileged access control.
  • Excellent problem-solving, analytical, and communication skills.

Nice to have

  • Strong Python skills with the ability to work in other languages.
  • Experience with streams, large datasets, database performance tuning, replication, and high availability.
  • Familiarity with event-driven architectures, service meshes, API gateways, Datadog, Grafana, Zero Trust, and secure software lifecycle practices.
  • Experience in AI-enhanced security, automated policy enforcement, or data compliance management.
  • Success in Agile software development and continuous delivery environments.

Culture & Benefits

  • Collaborative, respectful, innovative environment focused on securing human and machine identities.
  • Competitive salary, meaningful bonus program, healthcare insurance, pension or retirement matching, and life insurance.
  • Employee assistance program, time-off plans, and paid company holidays.
  • Employment is subject to criminal background, education, and employment verification; publicly posted social media may also be reviewed.

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