You will drive end-to-end development of cybersecurity products by leading projects across the full stack. You will also mentor other engineers and collaborate with cross-functional teams to define and implement technical solutions.
The Client Success Architect will drive product adoption and partner health through technical engagement and strategic onboarding. They will collaborate with GTM and product teams to facilitate partner success and maintain high-quality documentation.
The Sales Engineer will serve as the ANZ subject matter expert, leading technical demos and trials to showcase cybersecurity solutions to partners. They will collaborate across internal teams to bridge technical gaps and provide actionable insights to support product roadmap alignment.
Lead the architecture and development of the enterprise data platform while driving foundational work across ingestion, storage, and transformation. Mentor senior engineers and collaborate with cross-functional teams to ensure data quality, reliability, and scalability.
You will be responsible for developing and maintaining the Go-based, cross-OS endpoint agent cybersecurity platform. Additionally, you will build cloud microservices and mentor other engineers on complex, cross-functional projects.
Design, implement, and maintain scalable cloud and on-premise infrastructure using Infrastructure as Code and automated CI/CD pipelines. Partner with engineering teams to optimize system reliability, security, and performance through proactive monitoring and incident response.
The Senior Product Manager will own the product roadmap for managed cybersecurity services, including MDR, SIEM, and SOC offerings. They will collaborate with cross-functional teams to translate market insights into prioritized product initiatives and drive successful go-to-market strategies.
You will own the operational backbone of the AI/ML capability, managing the full lifecycle from model training to production deployment. This includes building automated pipelines, ensuring high availability, and implementing robust monitoring and governance for all AI/ML solutions.
Analyze and evaluate anomalous network and system events within a 24/7 Security Operation Center environment. Collaborate with team members to investigate emerging threats and develop operational processes to improve SOC efficiency.
You will own the backend services and data platform, managing everything from high-volume security telemetry ingestion to the pipelines and APIs that protect customers. Additionally, you will design and operate scalable data infrastructure while collaborating across teams to deliver business-critical cybersecurity outcomes.
You will lead back-end projects and build data/ML pipelines while developing Generative AI workflows. Additionally, you will contribute to architecture decisions and mentor other engineers on cross-functional projects.
Build and maintain back-end services and data pipelines using Python, Node.js, or Go within a Kubernetes environment. Collaborate with senior engineers to develop GenAI workflows and secure, scalable APIs.
The analyst will assist in cyber threat intelligence operations, including gathering intelligence, enriching indicators of compromise, and profiling threat actors. They will also collaborate with the Security Operations Center to support defensive workflows and develop actionable intelligence products.
The analyst will conduct lead-less threat hunting and evaluate anomalous network events within a 24/7 Security Operations Center. They will also collaborate on incident investigations, develop analysis reports, and contribute to the improvement of SOC operational processes.
Lead and scale the Client Success organization by defining the strategic vision and operating model for the partner journey. Implement AI-driven tooling and telemetry to move the function from reactive to predictive while owning key retention metrics.
Drive and execute the technology strategy for Blackpoint Cyber, focusing on scalable, secure SaaS solutions and AI-powered security products. The role involves leading architectural design reviews, establishing engineering standards, and providing technical leadership across the product portfolio.
Lead the global infrastructure, reliability, and cost optimization team to ensure the scalability and availability of mission-critical cloud services. Drive automation-first approaches and implement FinOps strategies to maintain cost efficiency across AWS and Azure environments.
Lead the global infrastructure and reliability team to ensure the scalability, availability, and efficiency of mission-critical cloud services. Drive cost optimization (FinOps) and implement automation-first approaches using IaC and AI tooling.
Maintain core IT infrastructure by providing escalated technical support for endpoints, identity, and SaaS platforms. Manage onboarding, offboarding, and hardware inventory while driving automation and scripting projects to improve efficiency.
