Jobs at Blackpoint Cyber

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.

Act as Tier 2 escalation for complex software issues across microservices, APIs, containers, and integrations. Troubleshoot deployments and OS issues, build and optimize automations (Superblocks, n8n, Tines, webhooks, Zendesk), analyze ticket trends, document runbooks, and collaborate with Engineering to surface and resolve product bugs.

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.

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.

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.