Rackspace Technology

Network Operations

• Continuous network monitoring to ensure uptime and performance
• Respond to service-related incidents and troubleshoot issues
• Maintain accurate records of network configurations and incidents
• Collaborate with the IT support team and other departments
• Assist in developing and implementing disaster recovery plans
• Provide regular reports on network performance and incidents

Senior Network Operations Engineer, NOC III

Consultant

• You will be assigned to 10-15 enterprise cloud customers.
• You will prepare in-depth analyses using big data and present to high-level stakeholders at our largest clients.
• You will prepare supporting documentation and reports for those reviews.
• Work with other Rackspace teams (professional services and managed services) to support the delivery of cloud management projects and support best practices.
• Provide financial analysis of client cloud spend including trend reporting, identification of opportunities for cloud optimization, and outlining recommendations and proposals for optimization projects.
• Demonstrate expertise in knowledge of the AWS platform, guiding each client in their utilization of AWS services.
• Provide onboarding services to new Rackspace Cloud Optimizer customers.
• Support the sales team in new business activities, as needed.
• Work on assigned key initiatives, including new service offerings, profitability analysis, tool assessments, marketing initiatives, etc.

Cloud Business Consultant

QA Automation Engineer

• Design, develop, and standardize automation frameworks and reusable assets using Ansible & Python
• Build automation solutions for VMware infrastructure provisioning, configuration, and lifecycle management
• Define best practices for Infrastructure as Code (IaC) and configuration management
• Automate deployment, remediation, and operational tasks across infrastructure environments
• Collaborate with cross-functional teams (cloud, network, storage) to deliver end-to-end automation solutions

Automation Engineer III, Python, Ansible

• Lead the design and implementation of enterprise-scale automation using Ansible
• Architect automation solutions for VMware infrastructure (provisioning, lifecycle and operations)
• Develop advanced Python-based automation tooling and integrations
• Define and enforce standards for Infrastructure as Code (IaC) and automation architecture
• Identify risks, optimize performance, and reduce technical debt in automation systems
• Mentor engineers, conduct design reviews, and act as a technical authority
• Evaluate and adopt new tools/technologies to enhance automation capabilities

Automation Engineer IV, Python, Ansible

AI Engineer

• Assist in building the "connectors" between LLMs and real-world data tools (Airflow, dbt, Microsoft Fabric).
• Help develop validation layers to ensure AI-generated code (SQL/Python) is syntactically correct and follows governance standards.
• Support the implementation of multi-step reasoning cycles (Plan-Act-Observe) using frameworks like LangGraph or CrewAI.
• Work with Azure Functions and Container Apps to deploy and scale AI-driven microservices.
• Build automated test suites to benchmark agent performance and detect regressions in reasoning.

AI Engineer Trainee – Software approach

System Administrator

• Own and manage operational tools and systems (e.g., CRM, project management, documentation platforms), ensuring they are optimized and effectively integrated
• Design, maintain, and optimize workflows in Monday.com to support day-to-day operations
• Identify inefficiencies and recommend tooling, automation, or AI-driven solutions to improve operational efficiency
• Support and manage system integrations using APIs, automation platforms , or native features
• Document, improve, and maintain standard operating procedures (SOPs)
• Partner with leadership and cross-functional teams to understand operational needs and translate them into scalable processes
• Train team members on systems, workflows, and best practices
• Provide ongoing system support and drive continuous improvement of operational processes

Operations – Systems Administrator

Security Engineer

• Provide a high level of technical expertise to ensure the uptime and maintenance of critical networking systems
• Take ownership of complex network issues and ensures they are resolved and/or successfully documented
• Accept and take ownership through to resolution of issues escalated by other Network Operations Engineers
• Create training and mentoring opportunities for other engineers
• Identify and resolve technical issues including troubleshooting latency, packet loss, and poor performance
• Respond to DDoS attacks
• Identify and resolve switch and router hardware and software failures
• Identify and escalate problems with networking platforms or technologies
• Plan and conduct complex maintenances to ensure standardization and uptime
• Manage Internet providers and connectivity

Network Security Engineer III – Zscaler

Human Resources

• Provide operational support for health, welfare, retirement, leave, and statutory benefits programs across the Americas region.
• Manage employee benefits inquiries and escalations through the SNOW ticketing system, ensuring timely triage, resolution, and clear communication.
• Serve as a primary point of contact for brokers, carriers, TPAs, PBMs, COBRA administrators, and leave vendors; actively manage escalations and hold vendors accountable to SLAs.
• Support annual renewals by coordinating census data, reviewing pricing, validating assumptions, and partnering with leadership on recommendations.
• Review vendor invoices, eligibility files, and claims reports for accuracy; coordinate corrections with Payroll and Finance as needed.
• Ensure compliance with applicable legislation, including U.S. federal and state requirements (ERISA, ACA, COBRA, HIPAA, FMLA), Canadian provincial frameworks, and statutory programs in Mexico and Colombia.
• Maintain compliance calendars and support audits, regulatory filings, and documentation standards.
• Process limited benefits transactions in Workday and ensure data integrity across systems.
• Collaborate closely with HRBPs, Payroll, Finance, Legal, AskHR, and Global Benefits leadership to support onboarding, terminations, mobility cases, and organizational changes.
• Exercise sound judgment within established governance frameworks and seek leadership alignment before implementing policy or strategic changes.
• Identify recurring service issues or process gaps and recommend improvements in coordination with leadership.
• Stay current on evolving benefits legislation and market practices across the Americas through ongoing professional development and broker engagement.

Senior Benefits Specialist

Data Engineer

• Lead end-to-end development of scalable data pipelines and orchestration frameworks using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Microsoft Fabric.
• Build robust real-time and batch data pipelines, including integration with streaming sources (e.g., Event Hubs, Kafka) and structured streaming engines.
• Design and implement Structured Streaming applications in Spark for near-real-time processing of streaming data.
• Develop and maintain ETL/ELT pipelines and transformations leveraging Spark, PySpark, SQL, and fabric orchestration capabilities.
• Architect and implement data solutions using Microsoft Fabric, including OneLake, Dataflows, warehouses, and Fabric capacity planning to support enterprise analytics.
• Collaborate on data governance, cataloging, and asset organization using Unity Catalog within Databricks and Fabric environments.
• Manage Microsoft Fabric capacity and resource utilization to optimize performance and cost efficiency for analytics workloads.
• Design, deploy, and optimize Databricks dashboards and reporting artifacts for business stakeholders.
• Apply best practices for data modelling, caching, file sizing, and performance tuning of Spark and Delta Lake jobs (e.g., Z-ORDER, broadcast joins, adaptive query execution).
• Oversee governance, access controls, metadata management, and lineage using Unity Catalog.
• Lead and mentor a team of data engineers, fostering best practices in development, operations, documentation, and quality.
• Work with cross-functional teams (architecture, BI, data science, DevOps) to translate business requirements into scalable data solutions.
• Partner with stakeholders to define data strategy, standards, and architectural roadmaps.
• Establish and enforce standards for data quality, testing, monitoring, operational observability, and governance.
• Implement secure, compliant data access and lineage frameworks across cloud data platforms.
• Implement CI/CD pipelines, infrastructure-as-code for data platform artifacts, and automated testing frameworks for data jobs and workflows.

Lead Azure Data Engineer

Sales

• Define and promote Rackspace-Microsoft solutions that solve key customer challenges in North America.
• Collaborate with solution and product teams to ensure offerings are sales-ready, market-ready, and positioned for success.
• Drive co-selling opportunities with Microsoft field and partner teams across the region.
• Lead account mapping to align Rackspace and Microsoft coverage, ensuring top accounts are jointly targeted.
• Facilitate rep-to-rep interlocks to coordinate day-to-day sales motions and uncover cross-sell/upsell opportunities.
• Conduct account planning and strategy workshops with joint sales teams to define engagement plans and win strategies.
• Manage proactive opportunity tracking, identifying and prioritizing joint pursuits to maximize pipeline and accelerate deals.
• Leverage Microsoft co-sell programs and partner incentives to accelerate deals and maximize financial impact.
• Track, optimize, and report incentive performance to ensure measurable results and compliance.
• Collaborate on regional campaigns, events, and demand-generation activities that fuel joint sales.
• Highlight customer success stories and the impact of Rackspace-Microsoft solutions to drive awareness and adoption.
• Equip Rackspace sellers and technical teams with the tools, playbooks, and training needed to win with Microsoft.
• Share best practices and insights from joint deals to continually improve sales effectiveness.
• Maintain strong executive alignment with Microsoft counterparts across North America.
• Lead quarterly business reviews, track KPIs, and ensure the alliance delivers on revenue and strategic objectives.

Partner Sales Manager – Microsoft Partnership

Director

• Drive top-of-funnel opportunity creation through two parallel tracks: engaging C-level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for Lakehouse transformations.
• Lead the design and architecture of dual solution portfolios:
• Generative AI Solutions: Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions.
• Data Modernization: Enterprise Lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS.
• Act as the trusted advisor, positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization.
• Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios.
• Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (Lakehouse patterns, data mesh, unified analytics).
• Contribute to Rackspace's intellectual property through reference architectures covering both generative AI implementations and Lakehouse design patterns.
• Mentor and provide leadership to Solution Architects by guiding technical development and fostering skill growth across both generative AI and data modernization solution areas.
• Serve as the primary technical lead orchestrating both generative AI discussions and data modernization programs for strategic accounts.
• Build strategic relationships using two engagement models:
• Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art-of-the-possible sessions.
• Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS-native), migration planning.
• Lead comprehensive consultative engagements that begin with generative AI vision (Amazon Q, Bedrock) and translate into concrete data modernization roadmaps.
• Develop proposals that balance innovative AI capabilities with foundational data platform requirements.
• Guide customers through parallel journeys: generative AI adoption (POCs to production) and data platform modernization (legacy to Lakehouse).
• Collaborate with sales teams to position both solution portfolios strategically based on customer maturity and needs.

Solution Director, Analytics & AI/ML

Solutions Engineer

• Lead the design and architecture of dual solution portfolios: Generative AI Solutions and Data Modernization.
• Drive top-of-funnel opportunity creation through engaging C-level stakeholders with generative AI demonstrations and identifying data modernization needs.
• Act as the trusted advisor, positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization.
• Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios.
• Guide customers through parallel journeys: generative AI adoption and data platform modernization.
• Maintain deep expertise across both solution domains: Generative AI and Data Platforms.

Lead Solution Architect, Analytics – AI/ML

Cloud Engineer

• Conduct comprehensive application migration and cloud readiness assessments.
• Lead high-level and detailed architectural designs covering Azure Well Architected Framework pillars and application modernization requirements.
• Facilitate requirement-gathering workshops, clearly translating business and technical requirements into actionable design documents.
• Develop and present Total Cost of Ownership (TCO) calculations and migration cost analyses to stakeholders.
• Provide expert guidance and leadership throughout cloud migration and modernization projects, ensuring alignment with architectural best practices.
• Collaborate proactively with cross-functional teams, including engineers, developers, project managers, and business stakeholders.
• Ensure clear, concise, and proactive communication across all levels of the organization.
• Travel up to 15% domestically

Cloud Architect, Azure

Backend Engineer

• Build robust Django/DRF services and APIs for CMP
• Design REST/GraphQL endpoints, serializers, permissions, and pagination
• Implement domain logic, idempotent operations, audit logging, rate limiting
• Integrate with Airflow (events/callbacks/webhooks) and authN/Z (OIDC/JWT)

Software Developer IV – Backend Development, Python, Django, DRF

Vice President

• Drive operational excellence across multiple simultaneous initiatives—from small engagements to complex, mission-critical programs—ensuring best‑in‑class quality, efficiency, and customer value.
• Collaborate closely with cross‑functional executives to advance strategic and operational priorities.
• Oversee planning, execution, and completion of delivery engagements, ensuring on‑time, on‑budget, and high‑quality outcomes.
• Implement robust quality control measures and continuous improvement practices.
• Partner closely with Go‑to‑Market, Product, Project Management, Engineering, and other key functions to support new business, improve delivery visibility, and ensure seamless client experiences.