Role Description We are seeking an experienced Atlassian Platform Engineer Contractor to support and enhance Dropbox’s Atlassian ecosystem, including Jira Cloud, Confluence Cloud, Loom, and Atlassian Rovo. This individual will work closely with the Atlassian team to support escalations, implement solutions, reduce technical debt, improve platform reliability, and help teams get more value from the Atlassian platform. This is a hands-on technical role focused on administration, automation, operational excellence, and platform improvements. Key Responsibilities - Atlassian Platform Administration - Administer and maintain Jira Cloud, Confluence Cloud, Loom, and Atlassian Rovo. - Configure and support projects, workflows, permissions, custom fields, issue types, screens, and configuration schemes. - Support platform upgrades, feature rollouts, and configuration changes. - Monitor platform health, reliability, and performance. - Troubleshoot platform issues and coordinate with Atlassian support when required. - Governance & Platform Maintenance - Implement established governance standards and platform best practices. - Perform platform cleanup and hygiene activities, including workflows, permissions, custom fields, schemes, and unused projects. - Support standardization initiatives across Jira and Confluence. - Review and maintain marketplace applications and integrations. - Help reduce platform complexity and technical debt. - Automation & Workflow Implementation - Build and maintain Jira Automation rules and workflow enhancements. - Develop integrations using Atlassian REST APIs and approved automation platforms. - Implement solutions designed by senior team members and platform owners. - Support automation of onboarding, approvals, notifications, reporting, and operational workflows. - Create and maintain technical documentation for implemented automations and integrations. - Operational Support & Escalations - Act as an escalation point for advanced Atlassian platform issues. - Troubleshoot complex Jira, Confluence, and Loom issues. - Support incident investigation and root cause analysis. - Maintain operational runbooks and support documentation. - Partner with support teams to improve self-service and reduce repetitive requests. - Reporting & Analytics - Build and maintain dashboards, reports, and analytics. - Support platform usage reporting and license management activities. - Monitor platform adoption and utilization metrics. - Identify opportunities to improve efficiency through automation and standardization. - AI & Emerging Capabilities - Support implementation of Atlassian Rovo use cases and AI-powered workflows. - Assist with configuration, testing, and rollout of new Atlassian platform capabilities. - Help identify opportunities to reduce manual effort through AI and automation. - Support adoption of AI-powered productivity enhancements across the Atlassian ecosystem. Qualifications - Bachelor’s degree in Information Technology, Computer Science, Engineering, or related field, or equivalent practical experience. - 5+ years of Atlassian administration experience. - Strong hands-on experience with: - Jira Cloud - Confluence Cloud - Jira Automation - Atlassian Administration - Experience configuring workflows, permissions, schemes, custom fields, screens, templates. - Experience working with Atlassian REST APIs and integrations. - Experience with scripting or automation such as Python, JavaScript, Groovy, or PowerShell. - Strong troubleshooting and problem-solving skills. - Excellent written and verbal communication skills. Preferred Qualifications - Atlassian certifications (ACP-120, ACP-620, ACP-100, or equivalent). - Experience with Atlassian marketplace applications such as ScriptRunner, Assets, Tempo, Structure, Rich Filters, Xray, or similar. - Experience with Atlassian Rovo and Loom. - Experience supporting enterprise-scale Jira Cloud environments. - Experience with Atlassian Guard, SSO, and SCIM integrations. - Experience with automation platforms such as Workato, Okta Workflows, or similar. - Experience performing Jira and Confluence cleanup, standardization, and governance initiatives. Success Measures - Improve Jira and Confluence governance and consistency. - Reduce platform complexity and technical debt. - Increase automation and workflow efficiency. - Improve platform reliability and maintainability. - Reduce operational overhead through self-service and automation. - Successfully deliver platform improvements and automation initiatives. - Help teams get more value from the Atlassian platform through better workflows, reporting, and operational excellence.

Role Description Join Kohler’s AI Innovation team – Enterprise Architecture Office team to design and deliver Generative Business Intelligence (GenBI) / Conversational AI solutions that enable trusted, self service analytics and AI assisted insights. As a GenBI Engineer I, you will focus on enterprise data modeling, certified data assets, and metadata enrichment, while building conversational and GenAI powered BI experiences using Databricks Genie, Microsoft Copilot and/or Fabric Data Agents. You will work extensively with Databricks, Unity Catalog, and/or Microsoft Fabric - One Lake, contributing to standardized semantic models aligned with the Common Data Model (CDM). The role emphasizes data trust, governance, discoverability, and AI ready datasets that power dashboards, copilots, and embedded analytics across the enterprise. - Design, build, and maintain enterprise grade data models (facts, dimensions, and semantic layers) optimized for BI and GenAI consumption. - Develop and manage certified data assets in Databricks and/or Microsoft Fabric OneLake, aligned to the Common Data Model (CDM). - Implement metadata enrichment and governance using Databricks Unity Catalog, including business metadata, data classifications, ownership, lineage, and certification. - Build GenBI applications using Databricks Genie, Microsoft Copilot and/or Fabric Data Agents, enabling natural language analytics, conversational BI, and insight generation. - Hands on building SQL expressions within Databricks Genie to improve query processing, reduce latency. - Creating benchmarks and instructions within Databricks Genie/ MSFT CoPilot to improve grounding and accuracy of Conversational AI models. - Partnering with Cybersecurity to create right AD groups, access management and AD group mapping to Genies. - Partner with data engineers to curate gold layer datasets (Delta tables / Lakehouse models) that are analytics and AI ready. - Develop semantic definitions, KPIs, and metrics to ensure consistent enterprise reporting and AI interpretations. - Enable self service analytics by publishing governed datasets and models for Power BI, Databricks SQL, and Copilot experiences. - Apply data quality, validation, and observability checks to ensure accuracy, freshness, and reliability of certified datasets. - Support responsible AI and data governance practices, including PII classification, access controls, and auditability. - Document data products, models, and GenBI use cases, including business definitions and success metrics. Qualifications - 4–6 years of experience in data engineering, BI engineering, analytics engineering, or strong academic/portfolio projects. - Strong SQL skills and proficiency in Python for data transformation and validation. - Experience or exposure to data modeling concepts (star schema, snowflake, semantic models, metrics layers). - Familiarity with Databricks (Delta Lake, Databricks SQL) and/or Microsoft Fabric (One Lake, Warehousing) and proven track record of building GenBI application/Conversational analytics leveraging Databricks Genie. - Understanding of metadata, data governance, and cataloging concepts. - Experience with Git based version control and CI/CD for data pipelines or analytics artifacts. - Strong analytical thinking, problem solving, and ability to collaborate with business and technical stakeholders. Preferred Experience - Hands on experience with Databricks Unity Catalog for data governance, lineage, and certification. - Experience building and consuming Common Data Model (CDM) aligned datasets. - Exposure to Databricks Genie, Microsoft Copilot, or conversational BI models and tools. - Knowledge of BI tools such as Power BI or Databricks SQL dashboards. - Familiarity with enterprise domains such as Finance, Procurement, HR, Supply Chain, or Manufacturing analytics. - Understanding of data quality frameworks, KPI definitions, and metric governance. - Relevant certifications (e.g., Databricks Data Engineer, Fabric Analytics Engineer, Power BI). Success Metrics - Delivery of certified, well documented data assets adopted by BI and GenAI use cases. - Demonstrated improvements in data trust, discoverability, and self service analytics adoption. - Successful enablement of GenBI experiences with accurate, explainable, and governed results. - Adherence to enterprise architecture, data governance, security, and responsible AI standards. Benefits - We empower each associate to #BecomeMoreAtKohler with a competitive total rewards package to support your health and wellbeing. - Access to career growth and development opportunities. - A diverse and inclusive workplace. - A strong culture of innovation.

Role Description The Telecom Engineer III is a level role responsible for designing, implementing, and supporting advanced enterprise telephony and contact center solutions. This position plays a key role in the ongoing migration from legacy platforms (UCCX) to Webex Contact Center and supports large-scale initiatives to modernize communications, including integrations with clinical, IT service, and AI-driven systems. - Contribute to a portfolio of 24+ active and upcoming telecom projects, executing deliverables within defined sprint timelines. - Build and maintain call flows, user configurations, and routing logic as part of iterative deployments. - Identify opportunities to improve efficiency, standardization, and scalability across telecom systems. - Document solutions, workflows, and troubleshooting steps for operational consistency and knowledge transfer. This role directly supports Health’s strategic initiative to modernize communication systems, enhance patient and employee experiences, and introduce AI-driven automation across contact center operations. Qualifications - Deep expertise in Cisco collaboration technologies. - Scripting/flow logic knowledge. - End-to-end contact center design experience. - Experience in fast-paced, project-based deployments aligned with organizational priorities. Requirements - Lead and support the migration of legacy UCCX environments to Webex Contact Center. - Participate in a multi-phase deployment effort covering 25+ teams. - Configure, deploy, and maintain contact center flows, routing logic, and user configurations within Webex Contact Center. - Support go-live activities, troubleshooting issues, and validating successful implementation of new contact center features. - Interpret and analyze existing Finesse scripts to design and build efficient call flows and automation processes. - Administer and troubleshoot Cisco Unified Communications Manager (CUCM). - Resolve telephony-related incidents, ensuring reliable performance of enterprise voice services. - Support the integration of contact center platforms with enterprise systems such as ServiceNow and EPIC Cheers. - Collaborate on initiatives involving AI-driven solutions. Benefits - Medical, dental & vision. - Critical Illness, Accident, and Hospital coverage. - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available. - Life Insurance (Voluntary Life & AD&D for the employee and dependents). - Short and long-term disability. - Health Spending Account (HSA). - Transportation benefits. - Employee Assistance Program. - Time Off/Leave (PTO, Vacation or Sick Leave). Job Type & Location This is a Contract to Hire position based out of Greenville, NC. Pay and Benefits The pay range for this position is $52.00 - $68.52/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. Application Deadline This position is anticipated to close on Jun 29, 2026.

Role Description As a Senior Systems Engineer within Zillow Rentals, you’ll help design, build, and operate the core infrastructure that powers the Zillow Rentals experience. Our team owns shared cloud platform infrastructure and cross-cloud networking that supports more than 150 engineers across the Rentals organization. You’ll partner closely with backend, frontend, and data teams to provide secure, reliable, and scalable foundations for customer-facing products. In this role, you’ll be a hands-on contributor to infrastructure and developer platforms. You will use Infrastructure as Code, deep Kubernetes expertise, and strong cloud networking fundamentals to design and operate systems across GCP and AWS. You’ll drive reliability and security, lead incident investigations, and collaborate across engineering teams to deliver resilient, observable, and cost-effective infrastructure that enables rapid product delivery. You Will Get To: - Design, implement, and operate production infrastructure in GCP and/or AWS, supporting high-scale, business-critical services for Zillow Rentals. - Build and maintain Infrastructure as Code (primarily with Terraform), including modules, state management, and reusable patterns for platform services. - Own Kubernetes platforms (e.g., GKE/EKS): perform cluster upgrades, tune workloads, manage Terraform, ArgoCD/Helm-based deployments, and debug complex production issues. - Architect and secure cloud networking (VPCs, subnets, routing, load balancers, DNS, TLS, VPN, WAF) and ingress/egress patterns for internal and external traffic. - Improve observability and operations by defining metrics, dashboards, alerts, and runbooks that raise the bar for reliability and incident response. This role has been categorized as a teleworker position. Teleworkers do not have a permanent corporate office workplace and instead work from a physical location of their choice, which must be identified to the Company. Employees may live anywhere in Mexico, with availability to travel to Mexico City, as we recommend attendance at occasional office events. In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance, and location. Qualifications - 4+ years of hands-on experience designing, building, and operating production systems in GCP and/or AWS (at least one at depth, both strongly preferred). - Infrastructure as Code (IaC): Experience with Terraform and IaC practices (modules, state management) for managing cloud infrastructure and platform services. - Cloud networking: Proven experience with cloud networking (VPC design, subnets, routing, NAT, security groups/firewalls, load balancers, DNS, TLS, VPN) and securing ingress/egress paths (e.g., ALB/ALB controller, CloudFront, GCP load balancers, WAF/Cloud Armor). - Kubernetes: Deep experience running Kubernetes in production (e.g., GKE, EKS), including cluster upgrades, workload configuration with ArgoCD / Helm, and incident debugging. - Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences. Requirements - Experience in Database management and operations. - Provisioning with tools such as Ansible and Packer. - Programming experience with Java or Python. Benefits - Competitive base salary. - Benefits package. - Equity awards based on experience, performance, and location.