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As a Senior Big Data Engineer within our Professional Services team, you will collaborate directly with clients on their big data challenges by leveraging the Databricks Platform. You will drive impactful data engineering and cloud technology projects, integrating with client systems and providing technical guidance to maximize data value. This role offers opportunities to design, build, and deploy industry-leading big data and AI solutions while contributing to customer success and product innovation.
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Develop AI model serving capabilities
Implement low latency text-to-speech functionality
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Analyze threat actor behavior and evolving abuse patterns
Research, prototype, and implement LLM-driven techniques for abuse detection
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Serve as primary security representative in engagements
Articulate security architecture and risk management approach
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Design, build, and maintain scalable distributed backend systems.
Work closely with product and engineering peers to shape product decisions.
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Lead advanced penetration testing activities
Provide expert security guidance
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Lead design and development of Java backend services
Architect and optimize mission-critical workflows
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Lead day-to-day technical execution for team
Design, build, and maintain backend services with Node.js
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Design and build scalable backend services and APIs for mobile platform
Improve reliability, performance, and observability across the stack
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Designing, developing, and maintaining scalable backend services and APIs in Java
Leading technical design discussions and making architectural decisions
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Design and build new features for MongoDB Atlas
Lead technical projects and collaborate with teams
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Build new product versions with an interdisciplinary team
Provide technical support and guidance for existing systems
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Lead strategic offensive security initiatives
Test detection capabilities through red team engagements
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Provide strategic consulting and thought leadership for key accounts
Support partner sales; drive alignment with LivePerson solutions
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Develop secure and accessible iOS apps compliant with HIPAA/WCAG.
Collaborate across teams for end-to-end feature ownership.
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Lead and scale a large engineering organization
Improve execution, velocity, and product quality
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Deliver infrastructure projects end-to-end
Improve platform primitives and observability
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Lead design and development of Java-based backend services
Architect and optimize high-throughput platform components
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Represent organization's security posture to customers
Drive technical security discussions
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Develop and optimize AI model serving infrastructure
Implement low latency and cost-effective text-to-speech solutions
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Lead advanced white-box penetration testing
Exploit security flaws in cloud infrastructures and Kubernetes clusters
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Design and maintain scalable distributed backend systems
Shape product decisions with product and engineering peers
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Analyze threat actor behavior and abuse patterns
Develop state-of-the-art techniques for abuse detection
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Lead technical discovery for Platform Eng, DevOps, Security, and AI/ML.
Design PoCs focused on AI governance and supply chain value.
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Lead design and development of distributed cloud-native backend services
Define data model and APIs for the single system of record
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Work with clients on big data challenges
Provide data engineering, data science, and cloud projects
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Develop and maintain GNSS flight and ground software
Collaborate with flight ops and science teams
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Leading design and development of Java backend services
Optimizing platform components for high performance
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Analyze and understand threat actor behavior and abuse patterns.
Research and implement state-of-the-art abuse detection techniques.
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Represent the company's security interests to customers and prospects
Drive technical security discussions and strategies
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Lead and conduct advanced white-box penetration testing
Perform security assessments on Cloud Infrastructure
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Design, build, and maintain scalable distributed backend systems
Work closely with product and engineering peers to shape product decisions
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Develop AI models for voice cloning and text to speech
Implement high availability applications using Kubernetes
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Configure systems and implement features
Troubleshoot IT environments
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Design and develop backend services for Identity and Trust
Migrate legacy systems to platform-first services
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Design and implement distributed backend services for customer onboarding
Collaborate with cross-functional teams to streamline onboarding processes
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Lead design, development, and scalability
Architect and optimize platform components
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Develop and implement AI model serving
Deploy high availability applications on Kubernetes
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Design, build, and maintain scalable distributed backend systems
Work closely with product and engineering teams to shape product decisions
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Lead and conduct advanced white-box penetration testing.
Define offensive security roadmap and adopt new testing techniques.
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Analyze threat actor behavior and evolving abuse patterns
Research, prototype, and implement state-of-the-art LLM-driven techniques
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Serve as the primary security representative in customer engagements
Articulate security architecture, threat model, controls, and risk management approach
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Design, implement, and manage scalable AWS infrastructure
Build and maintain CI/CD pipelines
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Serve as the primary security representative in customer and prospect engagements.
Articulate security architecture and risk management approach.
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Analyze threat actor behavior and abuse patterns.
Implement state-of-the-art LLM-driven techniques for abuse detection.
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Contribute to cutting-edge voice cloning technology
Implement low latency and cost-effective text-to-speech systems
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Design and build scalable distributed backend systems
Work closely with product and engineering peers
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Lead design of Java services
Optimize platform components
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Developing and testing software systems
Coordinating software installations
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Serve as primary security representative in engagements
Articulate security architecture and risk management approach
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Design, build, and maintain scalable distributed backend systems
Work closely with product and engineering peers to shape product decisions