Design and implement scalable data processing components for cybersecurity applications (threat detection, incident correlation, threat intelligence, asset management). Monitor and resolve production stability issues. Collaborate with ML/security researchers, UI/UX, and product management. After interviews, join a needed project area to build and scale machine-learning-enabled backend systems and integrations.
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 Senior 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.
The base compensation range for this role is USD 180,000 - 245,000. Total compensation includes bonus opportunity and equity, and will vary based on candidate location.
Top Skills
Cloud Computing
Containerization
Docker
Go
Grpc
Java
Kubernetes
Machine Learning
Microservices
Observability
Orchestration
Python
Rest
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
The role involves providing technical leadership, developing software, innovating for performance improvements, and maintaining high engineering standards. Responsibilities include implementation of best practices, mentoring, and fostering collaboration within the team.
Top Skills:
AWSAzureGoogleJavaKafkaPythonRedis
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead design and implementation of scalable, AI-native full-stack learning platforms. Build and maintain front-end and back-end systems, integrate GenAI features (RAG/LLMs), drive architectural decisions, test automation, and mentor engineers while collaborating with product and stakeholders to deliver high-quality releases.
Top Skills:
Javascript,React,Angular,Angularjs,Vue,Html,Css,Sql,Kafka,Dell Boomi,Splunk,Catchpoint,Api Gateways,Cdns,Azure,Aws,Servicenow,Servicenow Ai Platform,Openai,Windsurf,Cursor,Rag,Llms,Agentic Ai
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead technical ownership of the Onboarding & KYC platform: architect and rebuild for global scale, ensure high availability and zero-downtime migrations, improve onboarding UX while maintaining compliance, mentor engineers, and drive cross-functional alignment on complex identity initiatives.
Top Skills:
Identity,Authentication/Authorization,Kyc,On-Chain,Ai,Distributed Systems,Observability,High-Availability Services,Service Architecture
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
