Jobs at Blackpoint Cyber

Drive partner health, product adoption, onboarding, training, and long-term engagement for cybersecurity clients and partners. Provide technical support, prepare partner reviews, document processes, collaborate with GTM and Product teams, and track customer health and KPIs using ChurnZero. The role requires customer-facing technical expertise, security-industry experience, strong communication, analytical skills, and independent remote work capability.

Serve as the cybersecurity sales engineering subject matter expert for Australia and New Zealand. Lead product demonstrations, trials, technical discovery, webinars, and partner presentations. Advise MSP customers on cybersecurity technologies, regulatory frameworks, privacy laws, and compliance goals. Collaborate with Sales, Marketing, Product, Engineering, and Support, provide customer insights for roadmap development, and independently manage multiple engagements. The role requires regional travel of approximately 30–40%, including interstate and trans-Tasman travel.

Lead the architecture and development of Blackpoint Cyber’s enterprise data platform. Own data ingestion, storage, transformation, governance, observability, lifecycle management, and cost optimization. Design scalable pipelines and medallion architecture for cybersecurity events, survey data, business intelligence, analytics, reporting, and AI. Drive multi-cloud integrations, data quality, reliability, compliance, and platform roadmap decisions while mentoring senior data engineers and collaborating across Product, Engineering, AI, and Security teams.

Develop and maintain Go-based, cross-platform cybersecurity endpoint agents and cloud microservices. Build secure, scalable, fault-tolerant REST APIs using Go and TypeScript, implement CI/CD automation, optimize system performance and resiliency, lead Agile initiatives, mentor engineers, and collaborate cross-functionally to solve complex cybersecurity problems.

Design, build, and execute automated tests for cloud-native, microservices-based cybersecurity products. Integrate tests into CI/CD pipelines, document and track defects, collaborate with engineers, adopt AI testing tools, and improve test frameworks and processes under senior guidance.

Designs and maintains scalable cloud and on-premise infrastructure, Infrastructure as Code, Kubernetes environments, CI/CD pipelines, data streaming, caching, observability, and incident response systems. The role owns AWS reliability and cost efficiency, supports progressive deployments, troubleshoots complex production issues, partners with software teams, and drives automation and continuous improvement across platform operations.

Own and automate the end-to-end ML lifecycle: build, deploy, monitor, test, and retire models at scale. Design production-grade, highly available ML infrastructure and CI/CD pipelines, implement governance, and collaborate with engineering and security teams.

Lead product strategy and roadmap for managed security services (MDR, SIEM, SOC, ITDR, cloud posture). Translate customer and market insights into prioritized initiatives, partner with Sales/Marketing/Engineering/Data Science, align operations and SLAs, drive GTM enablement, and write detailed product requirements while collaborating with UX and security teams.

The Director of Client Success will lead the Client Success team, focusing on partner satisfaction, retention, and expansion while integrating AI-driven strategies for efficiency and value realization from the platform.

Drive technology strategy and architecture across the product portfolio, delivering scalable, secure cloud-native SaaS and endpoint solutions. Champion AI-driven approaches, lead design reviews and PoCs, provide technical leadership, collaborate with product and business stakeholders, and support production systems including on-call troubleshooting and root cause analysis.

Analyze anomalous network and endpoint events in a SOC, perform lead-less threat hunting and triage EDR/NGAV alerts, develop incident analysis reports, build test labs, refine SOC processes, review sandbox artifacts and provide actionable threat and vulnerability analysis to customers and internal teams.

Lead global SRE team to design, operate, and optimize scalable cloud infrastructure (AWS/Azure/GCP). Own reliability, observability, incident response, IaC, CI/CD, cost optimization (FinOps), security hygiene, and mentor engineers while contributing hands-on and researching AI-driven SRE tooling.

Lead global SRE team to design, implement, and operate scalable, highly available cloud infrastructure. Drive observability, automation (IaC/CI-CD), cost optimization (FinOps), security hygiene, and post-incident improvements while remaining hands-on and exploring AI tooling for reliability.

Provide escalated endpoint and SaaS support, manage onboarding/offboarding and device provisioning, administer MDM and identity systems, build automation and scripts, maintain operational playbooks, log incidents in Jira Service Management, and serve as an escalation point while improving processes.

Own and operate backend and data services for a cybersecurity platform: design and run high-volume streaming ingestion, ETL/ELT pipelines, lakehouse/warehouse modeling, APIs, and observability. Mentor engineers, contribute across TypeScript/Python/Go microservices on Kubernetes, ensure performance/scale/security, and evaluate AI tools to accelerate development.

Lead development of back-end systems and end-to-end data/ML pipelines, build and deploy generative AI workflows, design and consume performant APIs, contribute to AI/ML architecture, mentor engineers, and communicate progress to leadership.

Develop and maintain backend services and data pipelines to support AI/ML and GenAI workflows. Build and consume secure, scalable APIs, work with microservices on Kubernetes, collaborate on design and code review, and grow applied ML skills under senior mentorship.