Stellar Cyber

Develop and optimize sensor software on Linux and Windows platforms for cybersecurity data collection. | Design and maintain high-performance, low-resource sensor software and independently resolve related customer issues. | Senior Sensor Engineer Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. Besides many enterprises and government agencies, nearly 30% of the world's top MSSPs rely on our platform, and that number is growing every day as more companies recognize the value of next-generation security solutions. We're at the forefront of protecting organizations against sophisticated cyber threats using cutting-edge AI and automation technologies. We offer a highly competitive compensation package on par with industry leaders like Google and Microsoft, ensuring our team is rewarded for their expertise and dedication. We are fully remote, providing the flexibility to work from anywhere in Taiwan. We are rooted in transparency and openness, without rigid hierarchies. We are feedback-driven, encouraging open communication and innovation at every level. Our culture is built on diversity, openness, and collaboration, fostering creativity and innovation that drives real impact in the market. To accelerate our growth, we are seeking a talented Senior Sensor Engineer with startup passion, a can-do attitude, and a desire to make an impact, while building a future for themselves and Stellar Cyber. If you are excited to be part of a very fast-growing team with lots of opportunities, Stellar Cyber is a great place to grow your career. Please note, as part of our interview process, we may invite candidates for an in-person interview to meet with our team. Responsibilities: • Build robust, fault-tolerant, low footprint sensor software running on different Linux environments/Windows platforms which could be on cloud or on-premises. • Design and write high-quality and high-performance code in a multi-threaded/multi-process environment to bring customer's data into our XDR platform. • Keep improving the performance of existing sensor software to use less host resources. • Independently analyze and resolve sensor related customer cases.

Lead architecture and delivery of integration domains for AI-driven SecOps platform focusing on microservices and mentoring teams. | 8+ years backend development with 3+ years staff/lead role, proficient in Python, Go, or Java, experienced in API design and AI-native integration. | 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 Senior Staff Software Engineer to take ownership of one or more integration domains on our Automation-Driven Open & Unified SecOps Platform (powering our AI-driven SIEM, NDR, Open XDR, and Multi-Layer AI). This is not just a senior IC role—we need someone who can independently lead projects end-to-end, pick up whatever knowledge is missing to get the job done, make architectural decisions with confidence, set technical direction, and mentor engineers on the team. As we scale, we need technical leaders who can be the go-to person for design guidance, code review, and engineering growth within their domain—someone whose work has a multiplier effect on the entire team’s output, not just their own. We move fast, give engineers real autonomy, and embrace AI not just in our products but in how we build them. This role carries a dual mandate: delivering robust, production-grade integrations that support our growing customer base, while driving the architecture forward so the platform can scale to the next level. You will architect and deliver microservice-based solutions spanning both traditional and AI-native integration patterns—REST, GraphQL, streaming APIs, MCP, and LLM-powered automation—connecting our platform with a wide range of cybersecurity tools and third-party services. What You Will Own We need someone who focuses on the work AI cannot do—and uses AI to amplify everything else. The work only you can do Own one or more integration domains end-to-end: roadmap, architecture decisions, trade-offs, and delivery. You identify what needs solving, scope it, and drive it to completion. Make the architectural calls—system boundaries, API contracts, reliability targets, build-vs-buy trade-offs—that require deep judgment and context no AI can replace. Serve as a technical mentor to the engineering team—through design reviews, pairing sessions, and code reviews—with a focus on growing engineers’ ability to independently own projects and make sound design decisions. Set technical direction and champion engineering rigor across the team: quality, documentation, and best practices in secure coding and distributed systems. What you’ll use AI to amplify Accelerate your own design and development workflow using LLM-based coding assistants, AI-driven testing, and automated code review. Automate repetitive engineering tasks—builds, deployments, monitoring, incident triage—using AI and scripting, so the team spends more time on high-value work. Champion AI adoption across the team: help colleagues integrate AI tools into their daily work, build internal tooling where it adds leverage, and measure the efficiency gains. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 8+ years of backend software development experience, with 3+ years in a Staff-level or tech lead role where you owned a domain or led a team. Proficiency in Python, Go, or Java with a strong foundation in building and operating microservices in production. Deep experience with API design and integration—both traditional (REST, GraphQL, streaming) and AI service integration (LLM APIs, embedding services)—including secure API patterns (OAuth, API keys, rate limiting). Strong background in distributed systems, message queues (Kafka, RabbitMQ), or orchestration frameworks (Celery, Airflow, or similar). Demonstrated ability to use AI tools (e.g., Copilot, Cursor, Claude, ChatGPT) to meaningfully accelerate engineering workflows—not just experimentation, but regular use in production work. You have the judgment to know when AI output is trustworthy and when it needs human expertise. Track record of mentoring engineers and raising the technical capabilities of a team. Excellent system design, debugging, and communication skills. You can explain complex trade-offs clearly to both engineers and product stakeholders. Preferred Qualifications Experience in cybersecurity domains: SOAR, EDR, SIEM, XDR, or similar. Hands-on experience with large-scale data processing, real-time pipelines, or event-driven architectures. Familiarity with cloud platforms (AWS, Azure, GCP) and containerized deployments (Kubernetes, Helm). Experience with AI-native integration patterns—such as MCP (Model Context Protocol), function calling, or agent orchestration frameworks—or hands-on experience building systems that incorporate LLMs or AI services into workflows or product features. 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 We pride ourselves in recognizing our employees. Here are some examples of our benefits program: Pre-IPO Stock Options Medical, Dental & Vision care 401(k) Employee Assistance Program Employee Discount Program Life Insurance Paid time off Referral Program Rewards and Recognition Program The base compensation range for this role is USD 180,000-245,000 per year. Total compensation includes bonus opportunity and equity, and will vary based on candidate location.

Design and implement scalable data processing components for cybersecurity applications and collaborate with researchers and product management. | Bachelor's or Master's degree in Computer Science with 3+ years experience, proficiency in Python, Java, or Go, and experience with distributed systems and containerization. | 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 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 align with evolving product needs and business goals. 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. 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 150,000-200,000 per year. Total compensation includes bonus opportunity and equity, and will vary based on candidate location.

Build and scale cloud-native infrastructure and distributed data platforms using SRE principles. | 5+ years in DevOps/SRE with Kubernetes, Terraform, cloud, and scripting language proficiency. | 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.. We are seeking a highly skilled Senior DevOps / Site Reliability Engineer (SRE) to join our globally distributed engineering organization. This is a hands-on senior-level role focused on building, operating, and scaling reliable cloud-native infrastructure and distributed data platforms. The ideal candidate will have strong expertise in Kubernetes, cloud infrastructure, observability, automation, CI/CD, incident management, and infrastructure reliability. This role combines DevOps engineering practices with SRE principles to improve scalability, resiliency, operational efficiency, and platform performance across production environments. The engineer will work closely with platform, development, and operations teams to drive automation, operational excellence, and reliability best practices for mission-critical systems. Key Responsibilities Administer and maintain Kubernetes clusters and containerized workloads. Manage cloud infrastructure across OCI, AWS, GCP, or Azure environments. Develop and maintain CI/CD pipelines for reliable application deployments. Implement and manage Infrastructure as Code (IaC) using Terraform and Helm. Build automation tooling and operational workflows using Python, Go, or Bash. Drive observability initiatives including monitoring, logging, tracing, and alerting improvements. Monitor, troubleshoot, and resolve production incidents while participating in on-call rotations. Support and optimize distributed data platforms including Kafka, Elasticsearch, Spark, Redis, and MongoDB. Improve platform reliability, scalability, and operational efficiency using SRE best practices. Collaborate with cross-functional teams across multiple time zones. Perform Linux system administration and networking troubleshooting. Contribute to incident response processes, postmortems, and reliability improvements. Support GitOps and deployment workflows using tools such as ArgoCD and GitHub Actions. Evaluate and implement AI-assisted operational tooling for auto-remediation, alert correlation, and operational intelligence. 5+ years of experience in DevOps, SRE, or Platform Engineering roles. Strong expertise with Kubernetes, Docker, and container orchestration. Hands-on experience managing production cloud environments. Strong Infrastructure as Code experience with Terraform and Helm. Experience with CI/CD tools and deployment automation. Advanced troubleshooting skills in Linux systems, networking, and distributed systems. Experience with observability platforms including Prometheus, Grafana, Loki, Alertmanager, and Elastic Stack. Strong programming and scripting skills in Python, Bash, or Go. Experience supporting high-availability production systems and on-call operations. Knowledge of incident management and reliability engineering practices. Familiarity with data platform technologies such as Kafka, Spark, Elasticsearch, Redis, or MongoDB. Understanding of AI-driven operational tooling and automated remediation concepts. Excellent communication, collaboration, and problem-solving skills. Resides on the East Coast We pride ourselves in recognizing our employees. Here are some examples of our benefits program: Pre-IPO Stock Options Medical, Dental & Vision care 401(k) Employee Assistance Program Employee Discount Program Life Insurance Paid time off Referral Program Rewards and Recognition Program The base compensation range for this role is USD 165,000-215,000 per year. Total compensation includes bonus opportunity and equity, and will vary based on candidate location.

Build, operate, and scale reliable cloud-native infrastructure and distributed data platforms with DevOps and SRE practices. | 5+ years in DevOps/SRE with Kubernetes, cloud, CI/CD, Infrastructure as Code, and strong Linux and automation skills. | 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.. We are seeking a highly skilled Senior DevOps / Site Reliability Engineer (SRE) to join our globally distributed engineering organization. This is a hands-on senior-level role focused on building, operating, and scaling reliable cloud-native infrastructure and distributed data platforms. The ideal candidate will have strong expertise in Kubernetes, cloud infrastructure, observability, automation, CI/CD, incident management, and infrastructure reliability. This role combines DevOps engineering practices with SRE principles to improve scalability, resiliency, operational efficiency, and platform performance across production environments. The engineer will work closely with platform, development, and operations teams to drive automation, operational excellence, and reliability best practices for mission-critical systems. Key Responsibilities • Administer and maintain Kubernetes clusters and containerized workloads. • Manage cloud infrastructure across OCI, AWS, GCP, or Azure environments. • Develop and maintain CI/CD pipelines for reliable application deployments. • Implement and manage Infrastructure as Code (IaC) using Terraform and Helm. • Build automation tooling and operational workflows using Python, Go, or Bash. • Drive observability initiatives including monitoring, logging, tracing, and alerting improvements. • Monitor, troubleshoot, and resolve production incidents while participating in on-call rotations. • Support and optimize distributed data platforms including Kafka, Elasticsearch, Spark, Redis, and MongoDB. • Improve platform reliability, scalability, and operational efficiency using SRE best practices. • Collaborate with cross-functional teams across multiple time zones. • Perform Linux system administration and networking troubleshooting. • Contribute to incident response processes, postmortems, and reliability improvements. • Support GitOps and deployment workflows using tools such as ArgoCD and GitHub Actions. • Evaluate and implement AI-assisted operational tooling for auto-remediation, alert correlation, and operational intelligence. Requirements • • 5+ years of experience in DevOps, SRE, or Platform Engineering roles. • Strong expertise with Kubernetes, Docker, and container orchestration. • Hands-on experience managing production cloud environments. • Strong Infrastructure as Code experience with Terraform and Helm. • Experience with CI/CD tools and deployment automation. • Advanced troubleshooting skills in Linux systems, networking, and distributed systems. • Experience with observability platforms including Prometheus, Grafana, Loki, Alertmanager, and Elastic Stack. • Strong programming and scripting skills in Python, Bash, or Go. • Experience supporting high-availability production systems and on-call operations. • Knowledge of incident management and reliability engineering practices. • Familiarity with data platform technologies such as Kafka, Spark, Elasticsearch, Redis, or MongoDB. • Understanding of AI-driven operational tooling and automated remediation concepts. • Excellent communication, collaboration, and problem-solving skills. • Resides on the East Coast Benefits We pride ourselves in recognizing our employees. Here are some examples of our benefits program: • Pre-IPO Stock Options • Medical, Dental & Vision care • 401(k) • Employee Assistance Program • Employee Discount Program • Life Insurance • Paid time off • Referral Program • Rewards and Recognition Program The base compensation range for this role is USD 165,000-215,000 per year. Total compensation includes bonus opportunity and equity, and will vary based on candidate location.