Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$80к-100к/год
$160к$180кмедиана$220к
По похожим ролям (49) ~ $180к/год
На СНГ рынке: $2.7к/мес ($2.1к - $3.6к)
42
Не очень вакансия
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Зарплата заметно ниже ориентира для похожих ролей, а обязательная работа в офисе и требование степени магистра дополнительно сужают привлекательность вакансии.
Software Engineer - Observability (Pulse) (Data Observability): Building and scaling Pulse, a data observability platform, with an accent on scalable software, system performance, and data reliability. Focus on designing distributed systems, developing microservices and RESTful APIs, and troubleshooting production issues.
Location: Campbell, CA, United States; On-site
Salary: $80,000–$100,000 per year
Company
hirify.global develops Pulse, a data observability platform focused on improving data reliability and customer insights.
What you will do
Design, develop, and maintain large-scale, scalable software applications.
Build and enhance Pulse features that improve data reliability and customer insights.
Write clean, efficient, and well-tested code following engineering best practices.
Collaborate with cross-functional teams to define, design, and deliver new features.
Troubleshoot and resolve production issues, and participate in code reviews.
Adopt new technologies, tools, and frameworks through continuous learning.
Requirements
Master’s degree in Computer Science, Engineering, or a related field.
Proficiency in one or more of Java, Python, or Go.
Strong understanding of data structures, algorithms, and system design.
Experience with distributed systems and scalable architectures.
Familiarity with RESTful APIs and microservices architecture.
Strong problem-solving, communication, collaboration, and attention-to-detail skills.
Culture & Benefits
Ownership and accountability are valued.
Work emphasizes analytical thinking, collaboration, adaptability, and continuous learning.
Customer-focused mindset and knowledge sharing are encouraged.
Artificial intelligence tools may support parts of the hiring process, while final decisions are made by people.
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