Spice IT

Tech Lead GO

6.0/10

Spice IT

Not specified
Remote
lead
about 1 month ago
May be outdated
devtechGoPostgreSQLMySQLLinuxnetworkingvirtualization

AI Summary

The vacancy is well-defined in responsibilities and requirements but lacks compensation details.

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Description

What you'll do

  • โ€ขLead the design and development of high-performance server services written in Go;
  • โ€ขMake architectural decisions and ensure system scalability, reliability, and maintainability;
  • โ€ขMentor developers, conduct code reviews, and enhance engineering quality;
  • โ€ขDevelop reliable monitoring and observability systems for production environments;
  • โ€ขCollaborate closely with DevOps, QA, Product, and other engineering teams;
  • โ€ขTroubleshoot complex production issues and identify root causes;
  • โ€ขEnsure engineering solutions meet business and security requirements;
  • โ€ขParticipate in planning, effort estimation, and technical strategy processes.

Conditions

  • โ€ขEmployment through individual entrepreneurship;
  • โ€ขWe are an international team of young specialists;
  • โ€ขWe support the growth of our employees and grow as a company;
  • โ€ข25 days of paid vacation, sick leave compensation, and an additional 3 sick days per year;
  • โ€ขRemote work format;
  • โ€ขInterested in your professional growth and continuous learning, we provide access to an internal knowledge base, conduct meetups and team buildings, and train in new technologies.

Requirements

  • โ€ขExtensive experience in software development in Go for at least 5 years;
  • โ€ขDeep understanding of distributed systems and microservices architecture; experience in designing and implementing large-scale systems under high load in a production environment;
  • โ€ขPractical experience in creating and maintaining monitoring systems;
  • โ€ขExtensive technical knowledge in related areas (Linux, networking, hardware, virtualization) sufficient for troubleshooting in a production environment;
  • โ€ขProficient knowledge of PostgreSQL/MySQL, including cluster management, replication, fault tolerance, indexing, and efficient usage under thousands of queries per second and terabytes of data;
  • โ€ขDeep understanding of data structures, algorithms, concurrent programming, networking technologies, memory management, garbage collection, and related low-level concepts.
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