Design, build, and deliver cloud-scale cryptographic security solutions for Microsoft’s Project Compass, focusing on cryptographic asset discovery, risk assessment, and post-quantum readiness.
Locations (2)
Tel Aviv, Tel Aviv, Israel
Herzliya, Tel Aviv, Israel
Responsibilities
Design, implement, and support cloud-scale services for cryptographic asset discovery, risk assessment, posture management and remediation.
Build AI-driven and agentic capabilities that identify, prioritize, and remediate cryptographic risks and speed up post-quantum readiness.
Collaborate with engineers, security researchers, product managers, and cross-functional teams across Microsoft to deliver high-quality features, drive innovation, and meet project goals.
Continuously learn and apply new technologies to improve services.
Contribute to the team's engineering practices and culture as an early member of a new group.
Build RESTful, highly scalable cloud-native services in Go and TypeScript for DigiCert Quantum Central, owning features end-to-end and driving AI-native engineering practices.
Compensation
$135,000—$170,000 USD
Responsibilities
Build RESTful, highly scalable cloud-native services in Go and TypeScript
Own features end-to-end: design, implementation, testing, deployment, and observability
Use AI coding agents as a native part of daily workflow
Design and ship software using agentic AI workflows: LLM orchestration, autonomous pipelines, and AI-assisted product features
Collaborate with engineers, product managers, and security researchers to build PQC readiness tooling
Requirements
Bachelor's degree in Computer Science, Information Systems, or equivalent industry experience
Lead and shape complex programs at the intersection of foundational models, AI agents, and scientific research within DeepMind’s SSI Initiatives Unit.
Responsibilities
Lead and shape complex programs at the intersection of foundational models, AI agents, and scientific research within DeepMind’s SSI Initiatives Unit
Act as a trusted thought partner to research, engineering leads, product managers, and the wider program management team
Help navigate the deep ambiguity inherent in breakthrough scientific research through strong program definition, execution, and technical delivery
Drive the integration of autonomous agents, reasoning loops, and sandboxed research tooling into scientific workflows
Collaborate across research pillars, from biology and quantum chemistry to automated theorem proving and compute infrastructure
Requirements
Bachelor’s degree in Computer Science, Engineering, Mathematics, Computational Biology, Physics, a related quantitative/scientific discipline, or equivalent practical experience
Nice to have: partnering directly with research scientists or technical leads
Nice to have: translating exploratory, ambiguous initiatives into concrete execution roadmaps
Nice to have: strong conceptual grasp of modern AI/ML systems
Partner with Business and IT teams through targeted discovery sessions to uncover challenges and craft tailored, innovative Salesforce solutions aligned with business objectives.
Demonstrate Salesforce capabilities via live demos, prototypes, and presentations to various client personas; support sales cycles with RFx responses, business cases, and ROI analyses.
Act as a trusted advisor throughout the entire customer journey—seamlessly bridging the gap between pre‑sales strategy and post‑sale execution.
Build and articulate clear customer journey strategies and IT roadmaps, guiding large enterprises on digital transformation and highlighting Salesforce’s value proposition.
Lead cross‑functional teams to develop comprehensive solutions and articulate benefits to stakeholders.
Responsible for the systemic design, scaling strategy, and governance of an enterprise-level parsing and document preprocessing architecture engineered specifically for autonomous agents and LLM application stacks.
Responsibilities
Design the end-to-end framework that governs how massive, multi-format unstructured data lakes are ingested, validated, and programmatically segmented before indexing.
Build resilient, cost-optimized pipelines capable of streaming contextually rich data into high-throughput AI environments.
Operate across the boundaries of core data engineering and cognitive computing infrastructure and define unified semantic data schemas, chunking rules, and advanced metadata tagging protocols to maintain context across massive documentation libraries.
Architect the retrieval infrastructure, establishing the indexing strategies, vector database integrations, and high-assurance access controls necessary for highly secure and accurate hybrid search (GraphRAG).
Partner with data governance, security, and corporate compliance teams and enforce strict lineage tracing and automated PII/PHI filtering, ensuring that the enterprise data fed into evolving LLM context windows remains performant, compliant, and secure.
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline (or equivalent experience).
Lead the development of the company’s customer‑facing product ecosystem, designing a unified intelligence layer across homes, offices and hospitality spaces.
Compensation
Competitive Tax-Free Salary: A market-leading monthly package in AED
Responsibilities
Define the product roadmap for residential and commercial offerings
Design the user journey for interacting with Perception products
Prioritise features based on user needs, technical feasibility and commercial viability
Lead the design and requirements gathering for diverse interfaces
Collaborate with Robotics and AI teams to translate Perception capabilities into user‑facing features
Requirements
Nice to have: Smart Home/IoT product launch experience
Design, build, and operate large‑scale, cloud‑native and AI‑driven security platforms that protect Visa’s global brand, networks, products, and data.
Compensation
The estimated salary range for this position is $180,600.00 to $ 289,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.
Responsibilities
Design, develop, and operate large‑scale cyber security platforms that deliver detection, prevention, and response capabilities across cloud and hybrid environments.
Build cloud‑native, API‑first security services using Python and modern web service frameworks.
Develop and expand security integration frameworks to interconnect SIEM, CSPM, CNAPP, IAM, network security, and threat intelligence platforms.
Drive security automation to minimize manual intervention and accelerate incident response workflows.
Design and implement GenAI‑powered security workflows, including autonomous agents for cloud misconfiguration analysis, policy validation, and remediation recommendations.
Requirements
Bachelor’s Degree
Advanced Degree (Masters, MBA, JD, MD)
PhD
Nice to have: Expert‑level certification in at least one major cloud platform
Nice to have: Hands‑on experience migrating applications to the cloud
Support the development of innovative analytical tools, advanced software capabilities, and AI-enabled solutions for critical national security missions.
Responsibilities
Develop and maintain software applications and analytical tools supporting technical analysis, intelligence analysis, and national security missions.
Design AI-enabled solutions and automated workflows to improve data processing, analysis, and decision support.
Build custom software capabilities for integrating, processing, correlating, and visualizing complex datasets.
Explore applications of large language models, autonomous agents, and machine learning to enhance analytical processes.
Develop and deploy analytical software in secure, disconnected, or air-gapped computing environments.