Design and implement scalable data-processing and backend components for cybersecurity applications (threat detection, incident correlation, threat intelligence, asset management). Monitor and resolve production stability issues. Collaborate with ML researchers, UI/UX, and product management to align implementations with product needs; be assigned to a project area after interviews.
Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. In addition to some of the world’s largest enterprises and government agencies, more than 30% of the world’s top MSSPs rely on our platform. We’re at the forefront of protecting organizations against sophisticated cyber threats using cutting-edge AI and automation technologies. Our culture is built on diversity, openness, and collaboration, fostering creativity and innovation that drives real impact in the market.
Position Overview
We are looking for a highly skilled Staff Machine Learning Software Engineer with a passion for building robust and scalable systems to power Stellar Cyber’s Open XDR platform. In this role, you will be at the forefront of data-intensive cybersecurity and machine learning software architecture innovation, responsible for developing the foundational components that enable effective and efficient cybersecurity operations for our customers.
Key Responsibilities
- Design and implement scalable data processing components and supporting features for Stellar Cyber’s cybersecurity applications, including but not limited to, threat detections, incident correlation, threat intelligence, and asset management.
- Candidates who successfully pass all the interviews will be assigned to a project area in need.
- 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 to 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
Why join us?
- Work at the forefront of cybersecurity innovation within a dynamic, fast-growing team.
- Opportunity to significantly influence and shape the integration architecture of a next-generation SecOps platform powered by AI and automation.
- Competitive salary, comprehensive benefits, and ample career growth opportunities.
Top Skills
Python,Java,Go,Docker,Kubernetes,Rest,Grpc,Microservices,Containerization,Orchestration,Machine Learning
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Architect, develop, and optimize scalable, secure backend systems for enterprise SDLC tools. Lead design and code reviews, implement CI/CD and automated testing, mentor engineers, and drive large cross-functional technical initiatives focused on performance, reliability, and customer impact.
Top Skills:
Java,Javascript,Sql,Mariadb,Postgresql,Docker,Kubernetes,Aws,Azure,Gcp,Restful Apis,Event-Driven Architectures,Ci/Cd,Junit,Selenium,Testng,Git,Unix,Windsurf,Cursor
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead architecture, development, and scaling of source-code security services (SAST, secret detection, code search) and integrate them into CI/CD. Partner with product and engineering leadership to prioritize risk, improve developer experience, apply AI/ML to reduce false positives, mentor teams, and create training and metrics to elevate security practices across the organization.
Top Skills:
Sast,Secret Detection,Deep Code Search,Source Code Security,Ai/Ml,Sca,Dast,Container Scanning,Iac Scanning,Ci/Cd,Servicenow,Flow Designer,Scoped Applications,Semgrep,Codeql,Checkmarx,Gitguardian,Trufflehog,Detect-Secrets,Snyk,Dependabot,Grype,Kubernetes,Serverless,Aws,Azure,Gcp,Stride
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead architecture and delivery of source code security services (SAST, secret detection, code search) and DevSecOps integrations. Drive AI-enabled automation to reduce false positives, coach teams, partner with product and execs to prioritize risk, and build scalable security services for developers across the organization.
Top Skills:
Sast,Secret Detection,Deep Code Search,Codeql,Semgrep,Checkmarx,Gitguardian,Trufflehog,Detect-Secrets,Snyk,Dependabot,Grype,Sca,Dast,Container Scanning,Iac Scanning,Kubernetes,Serverless,Infrastructure As Code,Aws,Azure,Gcp,Ci/Cd,Flow Designer,Servicenow,Scoped Applications,Ai/Ml,Generative Ai,Threat Modeling (Stride)
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
