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

Role Description Join us as a Platform Engineer on our mission to turn payments into possibilities! We are currently seeking a Platform Engineer with proven expertise in developing and managing internal developer platforms (IDPs) within the GCP space. The ideal candidate will apply a "Platform as a Product" mindset to deliver robust, scalable, and self-service infrastructure that empowers our software engineers. We aim to deliver a world-class payment orchestration platform implemented in GCP and having guaranteed SLAs higher than 99.95%. Endless horizontal scalability, resilience, and secure operations are the name of the game. At the application level, we use Go and Java on Kubernetes, and we have a strong preference for managed native services. How You Will Make an Impact: - Develop and promote the adoption of Internal Developer Platforms (IDPs) and golden paths built on GCP managed services. - Design, build, and maintain self-service toolchains and CI/CD pipelines that accelerate application delivery for application engineers. - Collaborate with security architects to embed security and governance-by-default practices into the platform's toolchains and infrastructure (IaC). - Partner with application engineers and architects to ensure the platform delivers endless horizontal scalability and resilience for the payment orchestration system. - Maintain the platform's relevance by continuously evaluating and implementing the latest cloud native technologies and best practices. - Champion a 'Platform as a Product' mindset, promoting a cloud-first and infrastructure-as-code (IaC) approach to platform development. - Act as the Subject Matter Expert for the Internal Developer Platform and developer experience, reducing friction for application teams. - Focus on platform adoption, measuring ROI, and ensuring the platform's stability, security, and efficiency. - Continuously iterate on the platform to maintain and enhance developer experience and compliance across all environments. - Foster a high-performance DevOps culture through knowledge sharing, documentation, and mentoring across technical functions. Qualifications - Knowledge of DevOps practices, with a strong focus on developer experience (DevEx). - Strong operational experience with Kubernetes. - 5+ years of experience in Cloud/Platform Engineering roles in a large-scale, high-traffic, cloud-based PaaS/SaaS environment. - Extensive experience designing and building platforms in Google Cloud Platform (GCP). - Proven expertise with Infrastructure-as-Code (IaC), Terraform or Config Connector, for managing platform and governance components. - Hands-on experience designing and implementing platform observability (log management, diagnostics, metrics, capacity management). - Strong scripting/automation abilities (Bash, and experience with a structured language like Go or Python for tooling). - Strong expertise in GCP and knowledge about utilization of managed services within GCP. - Hands-on experience designing and securing environments for sensitive data (i.e. within PCI-DSS). - Demonstrated experience working with GitOps tools like GitHub, GitHub Actions, and ArgoCD. - Knowledge of Helm charting and CI pipelines for multi-language applications (Go, Java, PHP) is a plus. Requirements - B.S. or higher in Computer Science or related field or applicable experience. - Experience in CI/CD systems and methodologies. - Experience working with a 24/7/365 high-traffic cloud environment. - Excellent English communication skills (speaking, writing, and reading). Benefits - Opportunity to be an innovator, challenge the status quo, and redefine the payments category. - Competitive salary in a fast-growing start-up. - Medical insurance with coverage for dependents (parents, spouse, children). - Rewards & Recognition system. - Opportunity for personal and professional growth in a dynamic industry.

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.