• Architect, implement, and develop automations within the SOAR system/case management with a focus on modern platforms including: • Splunk SOAR/Phantom • Palo Alto XSOAR • Microsoft Sentinel • Tines • Torq • Google SecOps / Chronicle • CrowdStrike Fusion • Palo Alto XSIAM • SentinelOne HyperAutomation • Design and develop automations and case management templates to ease analyst investigation/remediation • Expertise developing SOC and security-focused content and automation • Scripting and development skills (BASH, Perl, Python or Java) with strong knowledge of regular expressions • Ability to autonomously prioritize and successfully deliver across a portfolio of projects • Some travel may be required to clients in the Northeast region • Security Implementation Engineers work from remote/virtual when not visiting client locations

• Architect, implement, and maintain SIEM solutions with a focus on modern platforms including: • Splunk • Microsoft Sentinel • Elastic • Google SecOps / Chronicle • CrowdStrike NG-SIEM / LogScale • Palo Alto XSIAM • SentinelOne SIEM • Design and manage log ingestion pipelines using tools such as Cribl Stream, Edge, or Search (or similar). • Optimize data routing, enrichment, and filtering to improve SIEM efficiency and cost control. • Collaborate with cybersecurity, DevOps, and cloud infrastructure teams to integrate log sources and telemetry data. • Develop custom parsers, dashboards, correlation rules, and alerting logic for security analytics and threat detection. • Maintain and enhance system reliability, scalability, and performance of logging infrastructure. • Provide expertise and guidance on log normalization, storage strategy, and data retention policies. • Lead incident response investigations and assist with root cause analysis leveraging SIEM insights. • Mentor junior engineers and contribute to strategic security monitoring initiatives.

• Execute Zoho CRM and Zoho Creator implementation tasks based on defined requirements • Develop, customize, and optimize Zoho applications • Write and maintain Deluge scripts (automation, validations, integrations) • Collaborate with internal developers and communicate progress clearly • Deliver clean, functional solutions with minimal supervision

• You’ll be working on our data team focused on the quality of the datasets being delivered for training our models. • This is a hands-on role where your #1 mission would be to improve the quality of the pretraining datasets by leveraging your previous experience, intuition and training experiments. • This role particularly focuses on generating synthetic data at scale and determining the best strategies to leverage such data into training large models. • You’ll closely collaborate with other teams like Pretraining, Postraining, Evals, and Product to define high-quality data needs that map to missing model capabilities and downstream use cases. • Staying in sync with the latest research in synthetic data generation and pretraining is key to success in this role. • You will constantly lead original research initiatives through short, time-bounded experiments while deploying highly technical engineering solutions into production. • With the volumes of data to process being massive, you'll have a performant distributed data pipeline together with a large GPU cluster at your disposal. • To deliver large, high-quality, and diverse synthetic datasets mixing natural language and code modalities to train best-in-class coding agents.