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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Качественная роль в растущем домене кибербезопасности с современным стеком и интересными AI-задачами. Четкие ожидания и продуктовый подход делают эту вакансию сильным карьерным шагом.
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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