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Stellar CyberStellar CyberUnited States

Senior Software Engineer

Senior Staff Software Engineer building scalable backend systems and data processing components for a cybersecurity Open XDR platform, collaborating with ML researchers and product teams.

150k – 200k
Remote3+ YOEBackend Engineering

About the role

Key Responsibilities

  • Design and implement scalable data processing components and supporting features for cybersecurity applications, including threat detections, incident correlation, threat intelligence, and asset management.
  • Monitor and resolve production stability issues related to the aforementioned components and features.
  • Collaborate closely with machine learning / security researchers, UI / UX, and product management to ensure the design and implementation align with evolving product needs and business goals.

Requirements

Minimum Qualifications

  • Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.
  • 3 years of experience with software development or 2 years of experience with an advanced degree in an industry setting.
  • 3 years of experience with data structures and algorithms in either an academic or industry setting.
  • 2 years of experience with developing backend functionalities, distributed systems, APIs (REST / gRPC), and microservices for machine learning or other data intensive projects.
  • Experience with cloud computing technologies, including containerization, orchestration, and deployment (Docker, Kubernetes, etc).
  • Experience in one or more of the following programming languages: Python, Java, Go.
  • Proficiency in communicating over a text-based medium (e.g., Slack) and can succinctly describe, discuss, and document technical details.

Preferred Qualifications

  • PhD in Computer Science with a research focus on software systems.
  • Experience with developing backend components, such as threat detection engines, in a cybersecurity product.
  • Experience working on machine learning platform teams and/or building tools and frameworks for researchers.
  • Experience with observability frameworks and practices in machine learning systems.
  • Knowledge of machine learning and/or SecOps concepts is a plus.

Benefits

  • Pre-IPO Stock Options (equity opportunity)
  • Medical, Dental & Vision care
  • Life Insurance
  • 401(k)
  • Employee Assistance Program
  • Paid time off
  • Referral Program
  • Rewards and Recognition Program

Skills

PythonJavaGoDockerKubernetesREST APIsgRPCMicroservicesDistributed SystemsMachine Learning

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