Remote Staff Software Engineer - Cloud & Systems Leadership

Bright Vision Technologies

Woodbridge Township (NJ)

Remote

USD 100,000 - 180,000

Full time

3 days ago
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Benefits offered by this job

Equal Opportunity Employer

Job summary

Bright Vision Technologies is seeking a Staff Software Engineer for 100% remote work in the United States. You will lead cross-team engineering efforts, architect scalable systems, and mentor senior engineers while delivering cloud, AI, data, and enterprise solutions.

The role requires 12+ years of experience, a strong background in distributed systems or large-scale data, and excellent communication to influence engineering culture and standards.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science or a related discipline.
  • 12+ years of professional software engineering experience.
  • Proven track record of leading complex, cross-team engineering initiatives.
  • Deep expertise in distributed systems, cloud platforms, or large-scale data systems.
  • Strong programming skills in at least one major backend language.
  • Excellent system-design and architecture skills.
  • Demonstrated mentorship and technical leadership of senior engineers.
  • Strong understanding of operational excellence, reliability, and observability.
  • Excellent written and verbal communication skills.
  • Track record of influencing engineering culture and standards.

Skills

Distributed systems
Cloud platforms
Large-scale data systems
Backend programming
System design
Mentorship
Observability
Leadership
Communication
Influencing culture

Education

Bachelor’s or Master’s degree in Computer Science or related field

Job description

Bright Vision Technologies is seeking a Staff Software Engineer for 100% remote work in the United States. You will lead cross-team engineering efforts, architect scalable systems, and mentor senior engineers while delivering cloud, AI, data, and enterprise solutions.

The role requires 12+ years of experience, a strong background in distributed systems or large-scale data, and excellent communication to influence engineering culture and standards.

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