Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная senior-позиция в крупной компании в сфере облачных технологий и сетей, с серьёзными задачами по распределённым системам и современным стеком. Без указанной зарплаты сложнее оценить условия относительно рынка.
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Зарплата не указанаПонятная зона ответственностиСовременный стекИИ для сетейГибридный формат
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Developer Cloud & Distributed Systems (AI): Building scalable cloud-based distributed services, microservices, and real-time and batch data pipelines for an AI-driven enterprise networking platform with an accent on Python, Go, Java, Elasticsearch, and data engineering. Focus on designing fault-tolerant systems, operating cloud-native services, solving complex data and search challenges, and supporting event-driven processing at massive scale.
Location: San Juan, Puerto Rico; hybrid, with an average requirement to work 2 days per week from an HPE office.
Company
hirify.global is a global edge-to-cloud technology company building solutions that connect, protect, analyze, and manage data and applications.
What you will do
Design, build, and maintain scalable, fault-tolerant distributed cloud services.
Develop microservices and backend components in Python and Go, with additional Java development for event-driven stream processing.
Build and evolve real-time and batch data processing pipelines for AIDE, including event streams, ingestion pipelines, and ML-driven workflows.
Own key cloud services end to end and contribute to Mist’s cloud-based network configuration and reporting platform.
Own the software engineering side of database and Elasticsearch use cases, including technical discovery, monitoring, and troubleshooting.
Write unit, integration, and functional tests that support safe refactoring and continuous delivery.
Requirements
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
Typically 6–10 years of software engineering experience with strong proficiency in Python, Go, or Java.
At least 2 years of experience building event-driven stream processing systems using Kafka, Storm, Flink, or similar technologies.
Strong understanding of RESTful API design and implementation.
Experience with distributed datastores such as Redis, Cassandra, or Postgres.
At least 4 years of experience with Elasticsearch or OpenSearch.
At least 3 years of experience with big-data frameworks such as Apache Spark or Databricks.
At least 3 years of experience building or operating distributed systems using cloud-native technologies or Kubernetes.
Familiarity with DevOps practices, CI/CD, automation, service ownership, ETL pipelines, ML training and inference, data tooling such as Pandas or DuckDB, AI and AI Agentic frameworks and tools, Linux, and systems fundamentals.
Strong analytical and problem-solving skills, excellent communication, and cross-functional collaboration skills.
Culture & Benefits
Hybrid work with flexibility to manage work and personal needs.
Comprehensive health, financial, and emotional wellbeing benefits for employees and their loved ones.
Personal and professional development programs supporting career growth and movement across divisions.
Inclusive workplace that values varied backgrounds and individual uniqueness.
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