• 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, and performance tuning. • Drive high availability, disaster recovery planning, scalability, and cloud cost optimization initiatives. • Build and maintain delivery pipelines for rapid, safe, and reliable deployments. • Design and operate CI/CD workflows for Python (Django/Flask/FastAPI) and React applications. • Implement deployment strategies to reduce production risk. • Manage Docker-based development and production environments. • Design, operate, and optimize our container orchestration platform. • Build and maintain monitoring, alerting, and observability systems using CloudWatch, Datadog, Prometheus, and Grafana. • Partner with engineering teams to improve deployment reliability and operational efficiency.

Title: Databricks Administrator - Platform Engineer Location: Remote, US Job ID Number: RQ220097 Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: NACI (T1) Job Family: Data Science and Data Engineering Job Qualifications: Skills: Databricks Platform, Databricks Unity Catalog, Data Engineering, Data Governance, Structured Query Language (SQL) Development Certifications: None Experience: 5 + years of related experience US Citizenship Required: No Job Description: GDIT is seeking an experiencedDatabricks Administrator / Platform Engineer to lead administration, governance, and operational management of an enterprise Databricks environment. This role is responsible for core platform administration across workspaces, Unity Catalog, access controls, storage integrations, compute governance, and secure platform operations. The position also serves as a technical advisor to governance, FinOps, and engineering stakeholders by shaping platform design decisions, operational policies, and best practices for scalable and well-governed data product development. This role is ideal for someone who combines strong hands-on Databricks administration experience with practical data engineering skills and the ability to influence platform standards. The successful candidate will not only keep the platform running, but also help improve how the platform is structured, governed, and used across teams. This role is fully remote! Key Responsibilities - Administer and maintain Databricks workspaces, catalogs, schemas, storage integrations, permissions, and platform configurations. - Manage Unity Catalog structures, including catalogs, schemas, external locations, storage credentials, grants, metadata standards, and governance controls. - Support user provisioning, group membership, RBAC/ABAC models, service principals, secrets management, and secure access patterns across the platform. - Define and enforce operational standards for cluster policies, compute governance, runtime management, workspace security, and scalable platform usage. - Troubleshoot platform issues related to permissions, connectivity, compute usage, storage access, workspace administration, and job execution. - Contribute data engineering expertise to platform best practices, including ingestion, transformation, orchestration, data quality, and performance optimization patterns. - Advise governance teams on standards for curated data products, metadata, tagging, lineage, and data quality expectations. - Partner with security, cloud, and engineering teams to improve monitoring, auditability, policy enforcement, and administrative guardrails. - Support cost optimization efforts by recommending best practices for workload management, cluster sizing, autoscaling, scheduling, and efficient resource usage. - Participate in platform design discussions, architecture reviews, and operational planning to improve scalability, maintainability, and governance maturity. - Create and maintain documentation, standards, runbooks, and repeatable operating procedures for platform administration and governed delivery. - As needed, provide platform-level guidance for adjacent analytics and AI capabilities in alignment with governance and operational standards. Required Qualifications - Technical training/certification(s) and 5+ years of Databricks administration, platform engineering, or data engineering operations. - 3+ years of hands-on experience administering Databricks in an enterprise environment. - Strong experience with Unity Catalog, workspace administration, permissions management, user/group access controls, and storage integrations. - Practical data engineering experience using SQL, Python, PySpark, or Spark in support of pipeline troubleshooting, platform standards, and engineering collaboration. - Strong understanding of Databricks security best practices, including RBAC, ABAC, least privilege, cluster policies, secrets management, and secure workspace configuration. - Experience supporting governance initiatives such as metadata management, tagging, lineage, access policies, or data quality standards. - Familiarity with AWS, Azure, or multi-cloud Databricks environments. - Experience balancing hands-on administrative responsibilities with strategic advisory work on platform design, policies, and best practices. - Must be able to obtain and maintain a Public Trust. Preferred Qualifications - Databricks certifications strongly preferred. - Experience advising on or implementing governance standards for curated or gold data products. - Strong written and verbal communication skills, including documentation and cross-functional stakeholder engagement. - Familiarity with FinOps practices, platform cost monitoring, and workload optimization in Databricks. - Experience with Databricks administrative capabilities such as audit logs, cluster policies, account console administration, workspace automation, and policy-driven governance. - Experience with Terraform, Databricks CLI, CI/CD pipelines, or infrastructure automation. - Exposure to Databricks analytics, reporting, model serving, or AI/ML platform capabilities. - Familiarity with enterprise metadata, lineage, and tagging strategies in regulated environments. - Databricks certification such as Data Engineer Associate/Professional or equivalent Databricks administration accreditation. #GDITFedHealthJobs The likely salary range for this position is $113,900 - $154,100. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: None Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans   PI284744262

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.

• 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.