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Remote Machine Learning Infrastructure Engineer

at Stellar Cyber

Posted 4 days ago | 2 applied

Description:

  • Join a fast-growing global leader in cybersecurity, trusted by major enterprises and government agencies.
  • Nearly 30% of the world’s top MSSPs rely on our platform, with growth expected as companies recognize the value of next-generation security solutions.
  • The company is at the forefront of protecting organizations against sophisticated cyber threats using cutting-edge AI and automation technologies.
  • The culture is built on diversity, openness, and collaboration, fostering creativity and innovation that drives real market impact.
  • The role involves being a Machine Learning Infrastructure Engineer responsible for building robust and scalable systems for Stellar Cyber’s Autonomous SOC applications.
  • You will develop foundational components that enable intelligent agents to operate in dynamic SecOps environments.

Requirements:

  • A Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience is required.
  • A minimum of 2 years of experience with software development or 1 year with an advanced degree in an industry setting is necessary.
  • At least 2 years of experience with data structures or algorithms in either an academic or industry setting is required.
  • A minimum of 2 years of experience in developing backend infrastructure, distributed systems, APIs (REST / gRPC), and microservices for MLOps related projects is needed.
  • Experience with cloud computing technologies, including containerization, orchestration, and deployment (Docker, Kubernetes, etc.) is essential.
  • Proficiency in one or more programming languages such as Python, Java, or Go is required.

Benefits:

  • Pre-IPO Stock Options provide an equity opportunity.
  • Comprehensive Medical, Dental & Vision care is offered.
  • Life Insurance coverage is included.
  • A 401(k) plan is available for retirement savings.
  • An Employee Assistance Program is provided for support.
  • Paid time off is granted to promote work-life balance.
  • A Referral Program is in place to encourage employee referrals.
  • A Rewards and Recognition Program is available to acknowledge employee contributions.