Allegis Group - Cupertino, CA

posted 7 days ago

Full-time - Mid Level
Cupertino, CA
10,001+ employees
Administrative and Support Services

About the position

As a Sr Backend Engineer at TEKsystems, you will play a pivotal role in developing and maintaining systems that assess the quality and safety of AI/ML models. Your work will involve creating robust data pipelines and analytics tools, implementing processes for continuous quality improvement, and architecting scalable backend systems. You will collaborate with various stakeholders to define metrics and deliver impactful solutions, ensuring backend services are efficient and secure while providing technical leadership to junior engineers.

Responsibilities

  • Develop and maintain systems to assess the quality and safety of AI/ML models.
  • Create robust data pipelines and analytics tools to generate actionable insights from vast datasets.
  • Implement processes and frameworks for the continuous quality improvement of intelligence systems.
  • Architect and implement scalable backend systems that support measurement and optimization efforts.
  • Work closely with data scientists, frontend engineers, product managers, and other stakeholders to define metrics and gather requirements.
  • Ensure backend services are scalable, efficient, and secure, handling large volumes of data with ease.
  • Continuously seek ways to enhance measurement frameworks, adopting best practices and integrating the latest advancements in technology.
  • Provide technical leadership and mentorship to junior engineers.

Requirements

  • 5+ years in backend engineering with extensive experience in large-scale software system design and implementation.
  • Proficiency in Golang Development.
  • Experience with distributed systems, databases (SQL/NoSQL), and cloud platforms (AWS, Azure, Google Cloud Platform).
  • Proven track record of building high-quality, highly scalable backend software systems.
  • Ability to tackle complex challenges, think critically, and deliver innovative solutions.
  • Excellent communication skills and a team-oriented attitude, thriving in a collaborative and fast-paced environment.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Nice-to-haves

  • Solid understanding of machine learning algorithms, model evaluation metrics, and data processing pipelines.
  • Strong background in data engineering, including data pipeline development, ETL processes, and data warehousing.
  • Previous experience in a high-growth tech company or similar environment.
  • Active participation in open-source projects related to AI/ML or backend development.
  • Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code.
  • Ph.D. in a related field.

Benefits

  • Medical, dental & vision
  • Critical Illness, Accident, and Hospital
  • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
  • Life Insurance (Voluntary Life & AD&D for the employee and dependents)
  • Short and long-term disability
  • Health Spending Account (HSA)
  • Transportation benefits
  • Employee Assistance Program
  • Time Off/Leave (PTO, Vacation or Sick Leave)
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