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Staff Software Engineer

Salary undisclosed

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Job Description

Job Description

We are looking for an exceptional engineer to join our growing team at Nightfall. As a staff engineer, youll enable us to deliver our platform reliably, securely, and at massive scale. Youll help architect low latency, real-time microservices that process & detect sensitive data at scale and will have opportunities for technical leadership.

This is a hybrid role based out of our San Francisco office.

Responsibilities

  • Oversee multiple cross-functional projects from conception to completion, ensuring alignment with business goals and customer needs.
  • Design andimplement new features ensuring security, user experience, and scalability.
  • Advise on new technologies and guide architectural decisions to enhance system performance and reliability
  • Mentor junior team members and enforce best practices in a fast-paced environment.
  • Writing and maintaining documentation about internal and public services
  • Work effectively with other teams to support engineering programs and ensure seamless communication.
  • Participate in the teams on-call rotation to ensure that product quality and performance SLAs are consistently met. Enhance processes and systems to continuously improve operations of the product.

Requirements

  • Minimum 7+ years of hands-on technical development experience
  • Experience programming in Go, C++, Java or related language
  • Experience with developing complex software systems scaling to substantial data volumes or millions of users with production quality deployment, monitoring and reliability.
  • Experience designing and building systems in a microservices-based architecture
  • Ability to decompose complex business problems and lead a team in solving them
  • A foundational understanding of multi-threaded programming, concurrency primitives, and data structures
  • BS/MS in Computer Science or a related technical field

Bonus Points

  • Experience working in high growth venture-backed startups
  • Blog, teach, mentor, or help others learn outside of your day to day responsibilities
  • Familiarity with AWS and managed infrastructure
  • Familiarity with Docker/Kubernetes
  • Experience with ML model deployments and inferencing is a plus
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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