Senior Cyber Security Software Engineer

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We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic professionals to join our team, empower lives, fuel businesses, and drive innovation. Connectivity is now longer a luxury, but a necessity. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected.

Our successes, now and in the future, are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities.

If you are resourceful, collaborative, and passionate about delivering consistent excellence, Optimum is for you!

As a Senior SOC Engineer (AI & Automation), you will design, build, and operate the AI, automation, and detection-engineering capabilities that power our Security Operations Center. Bridging security operations and software engineering, you will develop AI-driven detection, triage, and response tooling, integrate large language model (LLM) and agentic workflows into analyst operations, and ensure those capabilities are accurate, safe, measurable, and continuously improved.

As a senior member of the team, you will also serve as a technical leader during major security incidents, leading investigations and turning lessons learned into stronger detections, automations, and playbooks.

• Design, build, and maintain AI/ML- and automation-driven capabilities for alert enrichment, correlation, summarization, triage, and prioritization.
• Develop and maintain SOAR automations and detection-as-code pipelines that are version-controlled, tested, and peer-reviewed.
• Integrate LLM and agentic AI tooling into SOC workflows (copilots, auto-triage agents); engineer prompts, guardrails, and evaluation harnesses.
• Evaluate, benchmark, and tune AI models and tools for security use cases, measuring precision and recall, false-positive reduction, and impact on mean time to detect and respond (MTTD/MTTR).
• Build data pipelines and feature engineering from security telemetry to support detection and machine-learning use cases.
• Apply MLOps practices, including model versioning, monitoring, drift detection, and retraining, to security models running in production.
• Ensure responsible and secure AI use, including data governance, prompt-injection and model-abuse defenses, privacy, and output validation.
• Partner with detection engineers, SOC analysts, and incident responders to operationalize tooling and feed lessons learned back into models and automations.
• Serve as a senior escalation point and incident commander for complex and major incidents, coordinating cross-functional response and directing technical work streams.
• Lead investigations and forensic analysis for escalated incidents and provide hands‑on incident response support across on‑premises and cloud environments.
• Own post‑incident reviews and root cause analyses, translating lessons learned into new detections, automations, and playbook improvements.
• Develop, run, and mature incident-response playbooks and tabletop exercises (TTX) to validate and improve organizational readiness.
• Define and report detection and incident‑response metrics (e.g., MTTD, MTTR) to measure and continuously improve SOC effectiveness.
• Mentor analysts and engineers, fostering a culture of continuous learning across AI‑augmented and incident‑response workflows, and promote an AI‑first operating model across the SOC.

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent years of experience
• 7+ years of combined experience across security operations, incident response,…