super.AI

Senior Software Engineer - Scalability and Performance

super.AI WorkFromHome

Stellenbeschreibung:

Employer Industry: Artificial Intelligence and Machine Learning

Why consider this job opportunity

  • Opportunity for career advancement and growth within a rapidly expanding company
  • Work alongside a team of experienced professionals from top tech companies
  • Collaborative and innovative work environment that values creativity and independence
  • Chance to contribute to groundbreaking AI/Machine Learning technologies
  • Competitive salary and benefits package

What to Expect (Job Responsibilities)

  • Define, develop, and perform performance/scalability benchmarks
  • Oversee the system performance lifecycle and identify key metrics for performance improvements
  • Collaborate with engineers, designers, and product managers to enhance product performance
  • Mentor fellow engineers and lead application architecture decisions
  • Write well‑designed, maintainable, and testable code

What is Required (Qualifications)

  • Minimum of 5 years of software engineering experience
  • Proven ability to develop solutions to evaluate and improve performance and scalability
  • Experience working on distributed systems and a passion for solving complex problems
  • Proficiency in Java and Python, with a solid understanding of distributed computing systems
  • Familiarity with container frameworks such as Docker and Kubernetes

How to Stand Out (Preferred Qualifications)

  • Expert knowledge of HTTP load generation and measurement software
  • Experience with database scalability and profiling techniques
  • Strong communication skills and ability to work effectively in a team environment
  • Passion for tackling performance bottlenecks and optimizing large‑scale deployments
  • Knowledge of the latest machine learning infrastructure developments

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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    11 Dez 2025
  • Standort:

    WorkFromHome

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