Senior Full Stack Engineer - (Platform) Location: Remote - Preference for NYC - Or Remote USA or Tel Aviv (classed as Europe) to work EST hours Remote | Full-time Compensation: $144K - $164K Our client is a pioneer in automated, on-chain economic security, providing a sophisticated system that enables crypto protocols to optimize risk management and capital efficiency. By analyzing protocol mechanics and scenario implications through world-class custom EVM simulations, the platform provides actionable insights trusted by leading decentralized finance (DeFi) protocols to manage and secure billions of dollars in assets. The organization is seeking a proactive and results-driven Senior Full Stack Engineer to join the team. Reporting directly to the Platform Team Lead, the successful candidate will play a critical role in building data-driven dashboards and tools to support complex risk analysis. This role involves close collaboration with research and protocol teams to deliver high-quality frontend and backend components that power essential security insights. Key Responsibilities - Project Ownership: Take full accountability for projects by breaking down high-level goals into actionable tasks, proposing technical approaches, and driving execution from end-to-end. - Frontend Development: Design and implement scalable dashboards and tools that visualize protocol risk, ensuring tight integration with backend data sources. - API Management: Build and maintain robust GraphQL APIs and data services to power the user interface and internal tooling. - Platform Evolution: Own the development, architectural improvements, and performance optimization of the Alert Portal. - Insight Presentation: Partner with research and protocol teams to understand DeFi protocols deeply and present findings through intuitive, data-rich interfaces. - Mentorship: Support junior engineers by sharing best practices in full-stack development and high-quality engineering standards. - Technical Excellence: Ensure code quality and maintainability through rigorous testing, documentation, and comprehensive code reviews. - Innovation: Identify product opportunities and technical improvements across the platform while collaborating with cross-functional teams to ensure high-quality outputs. Interview Process - Initial Screening: 30-minute Recruiter / HR Call. - Hiring Manager Interview: 1 hour and 30 minutes. - Note: Candidates in Tel Aviv will be required to interview in-office; NYC-based and USA-remote candidates will interview via Zoom or in-person as scheduled. - Technical Evaluation: 45-minute whiteboard exercise. - Executive Interview: 30-minute discussion with the Founder / CEO.

• Build data ingestion pipelines integrating AI tools and internal platforms into Snowflake • Maintain and harden the existing Snowflake infrastructure — schemas and tables that grew organically without data engineering input — and bring them up to standard • Deploy work through CI/CD pipelines into Airflow or AWS Glue • Manage and process access requests • Collaborate proactively with product managers and engineers to identify data needs

About TD SYNNEX: We're TD SYNNEX, a leading IT distributor and solutions aggregator for the IT ecosystem. We're 23,000 of the IT industry's best and brightest, who share an unwavering passion for bringing compelling technology products, services, and solutions to the world. We're an innovative partner that helps our customers maximize the value of IT investments, demonstrate business outcomes, and unlock growth opportunities. At our core, we're a company that cares. We care about our partners, our co-workers, our investors, and the world around us. And we're committed to being a diverse, inclusive employer of choice and a good corporate citizen. About the role: As a Senior Platform Engineer, you will serve as the critical bridge between Developers, Business, and Operations. You aren't just "operating" a platform; you are architecting the foundational multi-cloud infrastructure that enables our next generation of AI-driven applications. We are looking for a hands-on expert who treats infrastructure as code (IaC) and is passionate about automating everything from the ground up. "Let's Achieve Great Outcomes. TD SYNNEX is the partner that helps unlock business results for all." What You'll Do: - Technical Architect & Automate: Design and deploy scalable, resilient multi-cloud architectures (Azure, AWS, GCP) using a "Security and Automation First" mindset. - IaC Leadership: Create, maintain, and refactor complex Terraform modules from scratch, ensuring a DRY (Don't Repeat Yourself) approach across various landscapes. - Configuration Excellence: Develop and manage Ansible playbooks, roles, and collections to automate zero-downtime application deployments and OS-level configurations. - AI Infrastructure Adoption: Enable the business to leverage AI by managing and scaling cognitive services like Azure AI Foundry, AWS Bedrock, and GCP Vertex AI. - Stakeholder Partnership: Translate high-level business requirements into technical blueprints. You will challenge assumptions and ensure technical solutions meet the "true" underlying business needs. - CI/CD Integration: Build and maintain robust delivery pipelines in Azure DevOps for both infrastructure provisioning and configuration management. What We're Looking For: - Bachelor's degree or equivalent experience from which comparable knowledge and job skills can be obtained. - 3+ Years of relevant work experience. - Proficient in English required. Multi-Cloud & AI Services - Expertise: Deep hands-on experience in Azure and GCP or AWS (GCP is a plus). - AI/ML Ops: Experience managing cognitive service environments (e.g., Azure Foundry, Bedrock, Vertex AI). - Sys Engineering: Strong Linux administration (RHEL, Debian, Ubuntu) and experience managing Windows Hosts via automation. Infrastructure as Code (IaC) & Automation - Terraform: Mastery of Terraform data structures, functions, workspaces, and module registries. - Ansible: Expert-level ability to create playbooks and dynamic inventories. Experience with Ansible Tower or RedHat Satellite is highly preferred. - Scripting: Fluency in Python, Bash, or PowerShell for custom automation tasks. DevOps & Delivery - CI/CD: Proficiency with Azure DevOps (Pipelines, Boards, Repos). - Version Control: Advanced Git skills (branching strategies, code reviews, and lifecycle management). - Agile: Experience working in a sprint-based environment, breaking down complex infrastructure projects into modular tasks. Soft Skills & Qualifications - Analytical Mindset: Ability to decompose high-level information into technical details and reconcile conflicting requirements from multiple sources. - Communication: Proactive collaborator who can present high-level architecture to stakeholders and detailed design docs to engineers. - Independence: Capable of driving initiatives autonomously while staying aligned with Product Owner goals. Other Education/Certifications: - Azure; Google Cloud Administrator desired. Working Conditions: - Professional environment (Remote). - Occasional non-standard work hours or overtime as business requires. What We Offer: - We provide competitive compensation with annual salary reviews. - We value continuous learning and provide a clear progression plan. - Remote or Hybrid work - We provide comprehensive benefits including, Health insurance, paid leave, retirement plans, and more. - Certified Workplace Excellence: Work in a certified Great Place to Work. Key Skills At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing. These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact. What's In It For You? - Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle. - Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses. - Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program. - Diversity, Equity & Inclusion: It's not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities. - Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program. - Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives. Don't meet every single requirement? Apply anyway. At TD SYNNEX, we're proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you're excited about working for our company and believe you're a good fit for this role, we encourage you to apply. You may be exactly the person we're looking for!

• Serve as the technical authority for data platform and tracking architecture—guiding design decisions, tool selection, and engineering best practices. • Design a next-generation data & AI platform that supports near-real-time ingestion, enrichment, and model-driven product features. • Translate AI Engineering requirements into clear specifications and capability roadmaps through spec-driven development. • Define and implement modern data governance: data quality, lineage, ownership, observability, and cost visibility. • Evaluate, consolidate, or replace redundant technologies, introducing scalable SaaS solutions where appropriate. • Own and extend core AI-platform components, including: • Arize AI (evals & observability) • LLM Gateway (model routing, policies, cost controls) • Pinecone (vector database) • Model access APIs • OTEL collector for trace processing. • Take full ownership of the AI Infrastructure components currently run by AI Engineering—ensuring reliability, scale, and clear fallback strategies. • Document existing workflows across Analytics Engineering, Data Engineering, and AI Engineering to identify automation and process improvements. • Introduce streamlined development pathways for AI—templates for CI/CD, GitOps, Python microservices, and AI-specific libraries. • Implement FinOps principles: baseline costs, identify inefficiencies, and reduce spend across data and AI workloads. • Support the transition toward a more self-serve model through ADRs, RFCs, and well-defined ownership guidelines. • Mentor Data Engineers on modern Data Platform concepts—streaming, governance, observability, platform reliability, and AI-aligned workflows. • Partner with Platform Engineering, TechOps, Data Science, and AI Engineering to drive alignment and cohesive infrastructure strategy. • Define playbooks and guidelines that standardize how teams build pipelines, collaborate with Platform, and deliver AI-ready data. • Increase trust across the organization through clear documentation, architecture records, and consistent communication.