SOAR Engineer [Job ID 20260707]
Develop and implement security automations and orchestrations to respond to security incidents. Collaborate with SMEs, vendors, and stakeholders to create innovative cybersecurity solutions.
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Develop and implement security automations and orchestrations to respond to security incidents. Collaborate with SMEs, vendors, and stakeholders to create innovative cybersecurity solutions.
Own the strategy and backlog for an AI-centric product area, taking AI features and agents from concept to customer-facing reality. Collaborate with ML engineers and designers to turn advanced AI capabilities into reliable, scalable product experiences.
Build and improve global CDN services for ISR, PPR, and image optimization using Go, Lua, and TypeScript. Maintain production stability through monitoring, observability, and participation in an on-call rotation.
Build scalable, reliable, and production-ready ML systems focusing on Generative AI and Conversational AI solutions. Collaborate with cross-functional teams to translate business requirements into technical engineering innovations.
Lead solution architecture and technical strategy for large-scale Azure modernization programs from presales through delivery. Develop reusable frameworks and provide technical leadership and mentorship to engineering teams.
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Own the infrastructure, reliability, and platform engineering to ensure the identity verification platform is scalable, secure, and highly available. Design and maintain cloud infrastructure, observability stacks, and CI/CD pipelines while supporting MLOps data pipelines.
Build and implement ML applications for structural biology, focusing on fine-tuning foundational models like OpenFold and ESMFold. Design scalable pipelines for training, inference, and deployment while collaborating with customers to solve real-world drug discovery problems.
Lead AI strategy for high-value enterprise accounts and act as a strategic advisor to C-suite executives to drive AI adoption. Partner with the executive leadership team to influence deal strategy, structure commercial approaches, and align AI solutions with customer objectives.
Design and maintain data integration, analytics, and operational solutions using Palantir Foundry and related enterprise platforms. Develop scalable data pipelines, Ontology models, and user-facing applications to support AI and decision-making workflows.
Provide expert technical solutions for transformer operations, field repairs, and testing while offering 24/7 support to field crews. Conduct condition assessments, root cause analysis, and mentor junior engineering staff.
Design and implement automated data validation frameworks to ensure the integrity of business-critical data solutions. Lead data testing, reconciliation, and quality assurance processes across Snowflake, Oracle, and AWS environments.
Perform on-site installation, diagnosis, troubleshooting, and repair of complex laboratory equipment and systems. Instruct customers on system operation and maintenance while identifying revenue opportunities for service and consumables.
The role acts as the operational engine for the delivery lifecycle, bridging the gap between intake, requirements grooming, and delivery logistics. Key duties include creating Jira stories, coordinating UAT, and facilitating the intake process for the Sales Operations team.
Responsible for creating and optimizing data architecture, pipelines, and the enterprise data warehouse. Collaborates with data scientists and analysts to deploy data products and ensure data quality and reliability.
Analyze existing business processes in 1C/BAS and gather requirements to migrate clients to modern ERP systems like Odoo. The role involves selecting optimal alternative solutions and preparing detailed technical specifications for the development team.
The intern will analyze platform and experiment data using BigQuery to drive product decisions and improve user experience. Additionally, they will contribute to product design in Figma and perform QA on new features.
Design, deploy, and operate large-scale distributed systems across compute, storage, and AI/ML environments. Focus on automating workflows, optimizing Kubernetes clusters, and building observability solutions to ensure system resilience.
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Lead the design, architecture, and delivery of scalable MDM solutions. Collaborate with business stakeholders to drive end-to-end implementations using industry best practices.
Ensure fault-tolerance, scale, and uninterrupted operations for hardware automation services. Implement and improve CI/CD processes while providing real-time visibility and control over data center infrastructure.
Act as a trusted advisor bridging technology and business value by leading discovery calls, technical deep dives, and high-impact demos. Drive deal velocity by designing proof-of-value projects and responding to RFIs/RFPs for the Customer Service Automation portfolio.
Develop, design, and test advanced FPGA-based deployments for high-performance communications payloads. Translate system-level requirements into executable code and collaborate with cross-functional teams to define interfaces and verification plans.
Design and develop backend systems for DRM configuration and video processing pipelines to ensure content is viewable across all devices. Optimize the video upload system for performance, cost-efficiency, and resilience while handling petabytes of data.
Design and build a customer-facing metric store for high-volume telemetry data and scalable backend services. Collaborate with cross-functional teams to optimize query performance, ingestion throughput, and system reliability.
Own product features from ideation to production, utilizing agentic development to build and ship scalable software. Develop and refine the internal AI-development harness and maintain the domain's agent infrastructure.
The Inside Sales Engineer is responsible for evangelizing and architecting hybrid cloud data management solutions for mid-market and small business customers. They provide technical leadership during pre-sales activities and support Account Executives to meet regional revenue goals.
Serve as the senior technical lead for complex multidisciplinary mining projects across North America from early-stage studies to construction. Lead technical evaluations, perform pit and schedule optimization, and provide sign-off as a Qualified Person for reserves reporting.
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Lead the creation and optimization of technical documentation, including IOM manuals and Sequence of Operations for thermal management systems. Translate complex thermodynamic designs into accurate support documents and manage project deliverables through cross-functional collaboration.
Design and develop embedded firmware for the GridPoint Energy Management Platform, focusing on microcontroller-based IoT devices. Responsibilities include architecting telemetry and controls, integrating device data into cloud layers, and managing the full product lifecycle from NPI to sustaining.
The role focuses on optimizing, scaling, and maintaining the portal infrastructure to support a global user base. Key duties include refining deployment processes, managing CI/CD pipelines in GitLab, and collaborating with international engineering teams.
Develop and maintain end-to-end ML models for flight departure delay prediction and operational forecasting. Build internal tooling for dataset generation and training pipelines while collaborating with backend teams for live system integration.
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