• Design, build, and maintain the core infrastructure layer supporting GenAI products, including model gateways, prompt/versioning stores, vector databases, and LLM evaluation tools. • Implement secure access controls and authentication mechanisms integrated by default into the AI platform components. • Develop and manage observability, monitoring, and logging solutions for GenAI workloads and infrastructure. • Collaborate closely with product and engineering teams to integrate GenAI infrastructure with agent frameworks, and downstream applications. • Optimize infrastructure for scalability, high availability, cost efficiency for production workloads.

Role Description As a Tier 1 Support Guide in the Customer Care department, you serve as the first line of support for our client's merchants, focusing on resolving issues quickly and delivering an exceptional customer experience to help them grow their businesses. - Provide support to merchants via Intercom (async chat, in-app messaging, and email), maintaining a response time of under 5 minutes and a CSAT score of 95% or above. - Troubleshoot core product issues including inventory sync discrepancies, listing publishing errors, channel connection/authentication problems, order management, and shipping label generation via the ShipEngine integration. - Support marketplace integrations across Amazon, eBay, Etsy, Walmart, and Google Shopping Actions by understanding unique channel requirements, listing templates, and item-specific fields. - Assist with shopping cart connections (Shopify, WooCommerce, BigCommerce), troubleshooting API connectivity, product import, and sync issues. - Guide merchants through billing and subscription inquiries using Recurly, including plan upgrades, downgrades, trial-to-paid conversions, invoice issues, and cancellation flows. - Support onboarding-phase merchants during their 30-day free trial with initial channel setup, product catalog creation, SKU management, listing template configuration, and first inventory syncs. - Leverage internal tools (Sellbrite Admin tool, Intercom workflows/Resolution Bot, Recurly, Jira Service Management, and the 245+ article knowledge base) to diagnose and resolve merchant issues efficiently. - Escalate complex issues involving API-level failures, data integrity concerns, or platform bugs to Tier 2/TAM team members or engineering via Jira and the #sellbrite-customer-issues Slack channel. - Contribute to knowledge base maintenance by identifying documentation gaps and flagging recurring issues in monthly QA summaries. Qualifications - 1+ year of customer support experience, preferably in SaaS, eCommerce, or technical support. - Familiarity with online marketplaces (Amazon, eBay, Etsy, Walmart) and how sellers manage listings, inventory, and orders. - Strong written communication skills, as the role is primarily asynchronous chat and email-based. - Ability to troubleshoot technical issues methodically, such as API connections, data syncs, and browser-based applications. - Comfort working with multiple tools simultaneously, including Intercom, billing platforms, admin dashboards, and Jira. - Customer-first mindset with a dedicated focus on first-contact resolution. Requirements - Experience with multi-channel eCommerce platforms such as Sellbrite, ChannelAdvisor, Listing Mirror, Zentail, or similar systems. - Understanding of SKU management, inventory sync logic, FBA (Fulfillment by Amazon), and 3PL integrations like ShipStation or Deliverr/Flexport. - Familiarity with subscription billing systems like Recurly or Stripe. - Experience using Intercom or similar CRM/messaging platforms for customer support. - Basic understanding of APIs, webhooks, and how cloud-based integrations work. Working Conditions - Schedule: Monday to Friday, with shifts scheduled between 5:00 AM – 5:00 PM PT. - Weekend Requirements: Participation in a weekend on-call rotation. - Environment: Part of a tight-knit, collaborative team environment within GoDaddy's broader Commerce organization that operates under the philosophy of "Teamwork, not Meanwork." Tech Checklist – Gotta Have It! - A reliable computer (preferably younger than 3 years) and a stable high-speed internet connection. - Experience working with Marketplace platforms such as Amazon, eBay, Etsy, Walmart, and Google Shopping Actions, et al. - A quiet, cozy workspace to handle calls and chats like a pro. PLEASE FILL OUT THIS FORM: Skills Assessment Form Click Here - Your First 30-60-90 Days at LTVplus: What to Expect (only shortlisted candidates will be contacted) Rate: 900 USD

• 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