Title: Staff AI Software Engineer - Platform Location: New York City Job Description: THE POSITION Our roster has an opening with your name on it As the senior-most technical Knowledge & Context Engineer, you will design and operationalized a centralized multimodal memory architecture spanning vector retrieval, knowledge graphs, ontologies, metadata systems, runtime memory injection, and lineage and governance frameworks. This role sits at the intersection of AI engineering, distributed systems, and applied intelligence. You will lead the strategy and execution for how enterprise knowledge is structured, represented, governed, retrieved, and operationalized across agents, copilots, automation systems, and customer-facing AI products. Importantly, you will sit at the cutting edge of building the cognitive substrate for an AI-native enterprise. Come join us as a hands-on thought leader who innovates by doing. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play Build foundational content intelligence systems: Design systems for ingestion, indexing, embeddings, metadata, retrieval, lineage, governance, and auditability that can support both internal and customer-facing AI use cases. This includes customers, media and marketing assets, product features, production code, websites, game sounds, customer service experiences, operational workflows, and other enterprise content. Establish enterprise knowledge graphs and ontologies: Define and implement a regulatory-compliant knowledge graph strategy that creates deep context about FanDuel’s products, employees, operations, customers, and systems. Own the design of graph databases, semantic models, ontologies, entity resolution patterns, and relationships across vector and non-vector data. Build the connective tissue that allows AI systems and agents to reason over enterprise context with precision, transparency, and control. Design secure memory patterns for agents: Create reusable design patterns for how AI agents acquire, store, retrieve, update, and discard context during runtime. This includes short-term memory, long-term memory, episodic memory, summarization, context injection, retrieval augmentation, and governed memory sharing across tools and systems. Ensure memory systems are efficient, secure, auditable, and appropriate for regulated environments. Champion responsible AI development: Ensure knowledge, retrieval, graph, and memory systems meet regulatory requirements, ethical standards, privacy obligations, and responsible gaming principles. Build safeguards, access controls, provenance, explainability, monitoring, and auditability into the platform from day one. In six months, you’ll know you’re heading on the right path if you’ve built: - Reusable runtime memory patterns that are being used by multiple agents to securely acquire, retrieve, summarize, and apply context during execution. - A production-grade graph and ontology framework connecting products, customers, employees, operations, systems, and content with clear lineage, access controls, and regulatory compliance. - Teams can build AI solutions faster because retrieval, memory, metadata, governance, and knowledge graph capabilities are available as shared primitives rather than bespoke pipelines. THE STATS What we're looking for in our next teammate ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). PLAYER BENEFITS We treat our team right We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level. FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. The applicable salary range for this position is $170,000 - $213,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws. FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #LI-Hybrid 7+ years of engineering experience, preferably working with large distributed systems that support a mix of data and software development activities. Bonus to consulting engineers and people with experience on early start up teams Track record of taking products from concept to launch in fast-moving, ambiguous environments. - Practical fluency with generative AI tools and concepts—especially graph, RAG, AgenticRAG, fine-tuning, and anti-RAG patterns - Experience building or operating vector and graph DBs, otnology, semantic search, and runtime memory evaluations - Ability to operate autonomously, create clarity from ambiguity, and influence across a matrixed organization. - Strong communication skills—able to translate AI concepts into clear value narratives for both technical and non-technical stakeholders. - High ownership mindset with a bias for action and outcomes over outputs. - For bonus points, experience and background in gaming, fintech, marketplace, or other regulated industries. - The first context sets of centralized, governed multimodal vector store and retrieval layer supporting AI applications across customer, product, marketing, engineering, operations, and support domains.

Role Description We are seeking a highly capable Platform Engineer to join our Platform Engineering team and help build, operate, and scale the infrastructure that powers Embrace’s legal technology platform. In this role, you will own critical areas of our cloud infrastructure, container orchestration platform, CI/CD systems, observability stack, and operational reliability practices. You will work closely with product engineering, security, and data teams to create resilient, secure, observable, and cost-efficient systems that enable rapid software delivery while maintaining the reliability and compliance standards expected by enterprise clients. This is a high-impact opportunity for an engineer who thrives at the intersection of cloud infrastructure, automation, developer enablement, and operational excellence in a regulated, multi-tenant SaaS environment. Key Responsibilities - Cloud Infrastructure & Platform Architecture - Own and evolve the AWS infrastructure that underpins our multi-tenant SaaS platform. - Design, provision, and manage production-grade AWS services including EC2, S3, RDS, ECR, VPC, IAM, CloudFront, Route 53, and EKS/ECS clusters. - Implement and maintain Infrastructure as Code (IaC) using Terraform or CloudFormation. - Architect and optimize PostgreSQL infrastructure including automated backups, replication, failover strategies, and performance tuning. - Drive high availability, disaster recovery planning, scalability, and cloud cost optimization initiatives. - Contribute to infrastructure standards, platform governance, and operational best practices. - CI/CD & Release Engineering - Build and maintain delivery pipelines that enable rapid, safe, and reliable deployments. - Design and operate CI/CD workflows for Python (Django/Flask/FastAPI) and React applications. - Automate build, test, deployment, and rollback workflows using GitHub Actions, GitLab CI, Jenkins, or equivalent tooling. - Implement deployment strategies including blue-green, canary, and rolling deployments. - Manage artifact repositories, container registries (ECR), and deployment manifests. - Improve developer workflows and deployment automation to increase engineering velocity and platform reliability. - Container Platform & Orchestration - Design, operate, and optimize our container orchestration platform for scalability, reliability, and tenant isolation. - Manage Docker-based development and production environments. - Implement and maintain Kubernetes (EKS) or ECS infrastructure for scalable application deployments. - Define and maintain Helm charts, Kubernetes manifests, and environment-specific deployment configurations. - Enforce networking policies, namespace isolation, resource quotas, and workload security standards. - Support platform scalability, cluster health, autoscaling, and operational resilience. - Observability, Reliability & Security - Build and maintain monitoring, alerting, and observability systems. - Implement centralized logging and audit trail solutions across application and infrastructure layers. - Define operational standards for incident response, alerting, reliability, and system health monitoring. - Enforce infrastructure security best practices. - Support compliance initiatives including SOC 2 and HIPAA. - Lead incident response, root cause analysis, and blameless postmortem reviews. - Cross-Functional Collaboration & Platform Enablement - Partner with engineering teams to improve deployment reliability, operational efficiency, and developer experience. - Troubleshoot infrastructure, deployment, networking, and performance issues across environments. - Author and maintain infrastructure documentation, architecture diagrams, operational runbooks, and deployment playbooks. - Mentor team members on platform engineering, infrastructure-as-code practices, operational excellence, and cloud-native tooling. - Contribute to long-term platform scalability, automation, and engineering enablement initiatives. Qualifications - 5+ years of progressive DevOps/SRE experience in SaaS or enterprise environments. - Infrastructure as Code using Terraform (AWS provider, modules, multi-environment state management). - AWS core services: EKS, ECR, RDS, VPC, IAM, CloudWatch, ALB, EFS, S3, CloudFront, Route 53. - Kubernetes administration: Helm charts, pods, deployments, services, kubectl, autoscaling. - Docker containerization including multi-stage builds and registry operations. - CI/CD pipelines: AWS CodeBuild, GitHub Actions, GitLab CI, or Jenkins. - PostgreSQL production management: backup automation, replication, monitoring, performance tuning. - Linux systems administration (Ubuntu/Amazon Linux) and shell scripting proficiency. - Networking fundamentals: DNS, load balancing, TLS/SSL, firewall rules, VPN configurations. - Monitoring and observability: Datadog, FluentBit, CloudWatch Logs. - Security: AWS Secrets Manager, ACM certificates, security groups, IAM policies. - Application stack: Django, Celery, Redis, PostgreSQL, Nginx. - Git workflows, branching strategies, and pull request review processes. - Strong problem-solving skills with a proactive, ownership-driven approach. Requirements - Advanced AWS services: AWS Backup, Lambda, SNS, EventBridge. - Advanced Kubernetes: EFS CSI driver, AWS Load Balancer Controller, Cluster Autoscaler. - Python scripting for infrastructure automation and operational workflows. - Multi-tenant SaaS architecture, tenant isolation strategies, and data partitioning. - Third-party service integration (SendGrid, Twilio) at the infrastructure level. - FinOps practices: cloud cost management, reserved/spot instance optimization. - Compliance frameworks (SOC 2 Type II, HIPAA) and required infrastructure controls. - Service mesh technologies (Istio, Linkerd) or API gateway solutions. - Cluster management tools like Rancher. - Database disaster recovery: snapshots, cloning, multi-region considerations. - Container security scanning and ClamAV integration. - Infrastructure documentation and multi-environment workflows (dev → stg → prod). - AWS certifications (Solutions Architect, DevOps Engineer Professional). Benefits - Competitive salary commensurate with experience. - Opportunities for career advancement and professional development. - Experience collaborating with a diverse, global team within a remote work setting. - This is a remote position.

• Build highly reliable data services to integrate with dozens of blockchains. • Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time. • Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data. • Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability. • Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products.

• Lead design and implementation of OCI architectures including landing zones, compartment strategy, and governance guardrails. • Own OCI IAM design and operations: policy authoring, dynamic groups, access reviews, and audit-ready evidence. • Design and administer enterprise OCI networking and connectivity: DRG, DRG route tables, route distributions, IPSec VPN/FastConnect, DNS strategy, load balancers, and security controls (NSGs/security lists). • Define and enforce tagging, naming, and cost management practices across environments. • Own operational administration for Oracle PaaS services as applicable (e.g., Autonomous Database, Oracle Integration Cloud, API Gateway, Functions, Streaming, Vault/KMS, Logging, Monitoring/Alarms) and their integrations. • Establish monitoring and alerting, backup/restore strategy, certificate management, and upgrade/patch planning for PaaS services. • Perform advanced troubleshooting across platform dependencies including identity, network paths, TLS/certificates, and service integrations; execute root-cause analysis (RCA) and implement preventive actions. • Lead Fusion instance provisioning end-to-end: intake validation, provisioning orchestration, baseline configuration, access enablement, and post-provision readiness validation. • Administer Fusion environments: user and role access governance, environment refresh coordination, release/patch impact planning, and integration enablement (OIC, SSO/IdP, allowlisting). • Create and maintain standardized runbooks, checklists, and readiness gates for Fusion lifecycle operations and change validation. • Build and maintain Terraform automation: reusable modules, remote state strategy, environment promotion (Dev/Test/Prod), code reviews, and CI/CD pipeline integration. • Implement operational automation using scripting (Python/Bash) for provisioning, compliance checks, reporting, and routine admin tasks. • Define change control standards including peer review, automated validation, and release governance. • Lead small technical workstreams; plan execution, manage dependencies, and drive delivery outcomes. • Mentor Associates; support onboarding, training, and operational maturity improvements. • Drive operational excellence: service health reporting, dashboards, SLIs/SLOs, and continuous improvement initiatives.