Rackspace Technology

Role Description We are seeking experienced Network Security Engineers (Level III) to join our infrastructure team. This role requires significant experience in the security space for someone who can seamlessly navigate traditional hardware, software-defined networking, and advanced load-balancing solutions. You will be the primary architect and administrator for our high-availability security stack, with a specific focus on Cisco (ASA/Firepower/ISE), Palo Alto, F5 BIG-IP, and VMware NSX. We have three roles available: - 1st shift: 12:00–23:00, Friday to Monday (4 days per week) - 2nd shift: 19:00–06:00, Friday to Monday (4 days per week) - 3rd shift: 03:00–14:00, Friday to Monday (4 days per week) Key Responsibilities: - Multi-Vendor Firewall Management: Lead the migration, configuration, and maintenance of Cisco ASA (Classic) and Firepower (FTD) systems, while managing a robust Palo Alto environment via Panorama. - Application Delivery & Security: Design and manage F5 BIG-IP solutions, focusing on LTM (Local Traffic Manager) for load balancing and ASM/WAF (Application Security Manager) for protecting web applications. - Software-Defined Networking (SDN): Implement and manage micro-segmentation policies and virtualized security services within VMware NSX (T/V) environments. - Legacy to Next-Gen Migration: Architect strategies to transition legacy Cisco ASA rulesets to Cisco Firepower or Palo Alto NGFWs without service disruption. - Tier 3 Support: Act as the highest escalation point for complex network outages, security breaches, or performance degradation across the global fabric. - Provide exceptional customer support via the phone and ticketing system. - Own level-appropriate customer requests and issues, seeing them through to resolution. - Own support escalations from other engineers and support teams according to escalation procedures. - Collaborate with Service Delivery Managers and Account Executives to build strong customer relationships. - Work closely with customers in the pre-implementation process to design and architect desired customer solutions. - Work closely with the implementation team to quality check deployments and perform initial vulnerability assessment as part of the customer environment acceptance process. - Research, plan and coordinate complex maintenance activities. - Participate in Root Cause Analysis (RCA) exercises to drive process & technology improvements. - Collaborate and share knowledge with other administrators and engineers via articles and training presentations. - Contribute to the development of technical best practices for administrative responsibilities. - Prepare and review defined policy and process standards. - Ability to communicate effectively, both verbally and in writing, with customers as well as with internal stakeholders, including preparing and presenting to customers electronically as well as on-site. - Must be able to work a flexible schedule, 24x7x365 coverage, including holidays and weekends. Qualifications - Cisco Specialist: Advanced knowledge of Cisco ASA (CLI/ASDM) and Firepower Threat Defense (FTD) managed via FMC. - Palo Alto Expert: Deep experience with Palo Alto NGFW features (App-ID, User-ID, SSL Decryption). - Load Balancing: Proficiency in F5 BIG-IP, including iRules development, SSL offloading, and traffic steering. - Virtualization: Hands-on experience with VMware NSX, specifically in configuring distributed firewalls (DFW) and edge gateways. - Protocols: Mastery of TCP/IP, BGP, OSPF, and deep packet inspection. Requirements - CCNP Security – Required. - CCIE Security – Highly Preferred. - Specialist certifications in Firepower or ASA are a significant plus. - PCNSE (Palo Alto Networks Certified Network Security Engineer) – Highly Preferred. - F5-CTS (Certified Technology Specialist) – Preferred. - VCP-NV (VMware Certified Professional - Network Virtualization) – Preferred. Benefits - Compensation range from £56,341.00/year to £75,087.00/year based on geographic market. - Pay based on market location and job-related knowledge, skills, and experience. - Incentive compensation opportunities in the form of annual bonus or incentives. - Equity awards and an Employee Stock Purchase Plan (ESPP).

Role Description - Expertise in SQL Server, Oracle, PostgreSQL, and MySQL for administration and migration. - Experience with PostgreSQL/MySQL/PAAS DB, scripting, and automation. - Experience in AWS/Azure Cloud environments. Key Responsibilities - Create and maintain SOPs for migration execution. - Formulate and monitor database management policies, procedures, and standards. - Provide design standards and guidance for projects and technical roadmaps. - Mentor and train Level 1 and Level 2 DBAs. - Engage with customers to streamline project deliverables. - Forecast database growth and plan for hardware and storage requirements. - Plan and deploy high availability and disaster recovery strategies. - Execute database software upgrades, patches, and service packs. - Investigate and resolve complex database-related issues. - Develop automation tools to streamline tasks. - Set up monitoring and alerting systems. - Generate performance reports and analysis. - Maintain up-to-date documentation of database configurations. - Resolve incidents, changes, and service requests under client SLAs. - Create detailed RCA reports for problem management. - Evaluate and manage third-party tools for database management. - Participate in sales implementations and vendor calls. - Provide 24x7 production support for database operations. - Execute large, complex database projects. Knowledge and Skills - Proficient in SQL Server, Oracle, PostgreSQL, and MySQL for architecture, installation, configuration, performance tuning, high availability, and disaster recovery. - Experience in planning and executing database migrations and upgrades. - Cloud-enabled for project-based migrations, automation, and administration. - Familiarity with industry best practices for database administration. - Effective communication of technical information. - Leadership skills for unexpected situations. - Experience with automation using Python, AWS CLI, PowerShell, Shell. - Knowledge of infrastructure as code with CloudFormation, Terraform, GitHub. - Ability to deploy, manage, and troubleshoot HADR configurations. - Knowledge of deploying and managing RDBMS in cloud platforms. - Understanding of monitoring tools like Datadog, Azure Monitor, AWS CloudWatch. - Usage of ITIL-based ticket tools like ServiceNow. Company Description We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

• Embed with strategic enterprise customers to rapidly diagnose business challenges, map data landscapes, and co-design AI solutions on-site. • Lead end-to-end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time applications. • Drive rapid prototyping and proof-of-concepts (POCs) demonstrating value within days or weeks. • Act as primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization. • Build scalable data pipelines across structured and unstructured formats using vector databases. • Develop, optimize, and fine-tune LLM/SLM models and multi-agent systems. • Integrate solutions across heterogeneous enterprise architectures (ERP, CRM, databases, data lakes). • Feed customer insights back to internal Platform and Product teams to scale future feature rollouts.

Role Description Rackspace is looking for a Data Engineer (Forward Deployed Engineer) to serve as the hands-on technical owner of enterprise-scale data migration, consolidation, and AI-enablement engagements. You will be embedded with Global Enterprise clients at the most critical points of their technology transformation — designing and building production-grade solutions that span cloud data architecture, intelligent data pipelines, and Palantir-powered operational applications. You will operate at the intersection of deep data engineering, applied AI, and executive stakeholder management. This is not a back-office role: you own delivery outcomes, shape client strategy, and translate Palantir Foundry and AIP capabilities into differentiated, client-specific solutions that accelerate ROI across 12–24 month programs. Work location: This role can be worked remotely in Canada in the provinces of Ontario, British Columbia, and Alberta only. Key Responsibilities - Palantir Platform Delivery - Design and implement enterprise solutions on Palantir Foundry — including Pipeline Builder, Code Workbook, Contour, and Workshop — tailored to client data models and operational workflows. - Build and manage ontology layers that translate raw ERP and operational data (Customer, Order, Asset, Invoice, Vendor, Product) into business-consumable semantic objects with full lineage. - Deploy Palantir AIP-powered agents and LLM workflows for automated data validation, schema inference, anomaly detection, and transformation logic generation. - Develop low-code operational applications in Palantir Workshop and deliver real-time migration control centers, data quality dashboards, and self-service stewardship interfaces. - Migration Execution & Cloud Architecture - Lead end-to-end delivery of enterprise data migrations from legacy systems (SAP ECC, Oracle, Epic ERP, custom on-premise) to cloud-native target platforms on AWS or Azure. - Design cloud landing zones, data governance frameworks, and system rationalization strategies with migration compliance controls, automated rollback procedures, and operational readiness gates. - Own full technical accountability for 12–18+ month migration roadmaps across multiple parallel workstreams in regulated and high-complexity environments. - Data Pipeline Engineering & ETL/ELT - Build production-grade data connectors to SAP (RFC, IDoc, BAPI, OData), Oracle (AQ, GoldenGate), and SQL/NoSQL sources with CDC and incremental loading capabilities. - Engineer scalable ETL/ELT pipelines capable of processing 100M+ to billions of records with multi-layer validation, reconciliation, and automated exception handling. - Integrate LLM-driven transformation logic into pipeline workflows for intelligent mapping, deduplication, and data enrichment at scale. - Multi-System Consolidation & Master Data Management - Lead consolidation of 5–15+ fragmented ERP instances into unified master data models, resolving entity resolution challenges across customer, product, vendor, and financial hierarchies. - Establish golden record frameworks, survivorship rules, data quality scorecards, and post-migration stewardship workflows. - Deliver cross-system data lineage tracking and row/column-level security for regulated workloads (HIPAA, GDPR, SOC 2). - Client Engagement & Advisory - Serve as primary technical advisor to C-suite, enterprise architecture teams, and cross-functional stakeholders across all engagement phases — from discovery through go-live. - Deploy discovery agents to analyze legacy data estates; facilitate solution design workshops; deliver executive briefings, go/no-go readiness assessments, and prioritized modernization roadmaps. - Navigate organizational complexity, competing priorities, and enterprise change management dynamics to maintain momentum across multi-workstream programs. - Knowledge Transfer & IP Development - Build reusable Palantir accelerators, migration playbooks, and reference architectures that scale across Rackspace delivery engagements. - Lead client team enablement for post-migration platform ownership; mentor junior engineers and foster a culture of knowledge sharing. - Feed field insights back into internal product and sales engineering teams to advance delivery methodology and platform capabilities. Qualifications - 7–10+ years of progressive enterprise data engineering, data migration, or large-scale system integration experience in complex multi-platform environments. - 3–5+ years directly leading end-to-end data migration or multi-system consolidation programs for Global Enterprises, with full ownership of technical delivery and client outcomes. - Proven hands-on experience with Palantir Foundry — Pipeline Builder, Ontology, Contour, Code Workbook, and Workshop — in a production delivery context. - Demonstrated client-facing experience advising C-level executives, enterprise architecture teams, and cross-functional business stakeholders as a trusted technical partner. - Proven delivery complexity: at least 3+ heterogeneous source systems, 100M+ records, complex master data harmonization, and multi-phase cutover execution. - Validated industry depth in at least two of: Healthcare, Financial Services, Manufacturing, Energy & Utilities, Retail, or Public Sector. Requirements - Advanced proficiency in Python and SQL; working experience in PySpark and TypeScript/JavaScript for pipeline and SDK development. - Hands-on expertise with modern ETL/ELT platforms: AWS Glue, Azure Data Factory, Informatica, Talend, Matillion, or Fivetran. - Strong working knowledge of at least one major cloud provider (AWS or Azure) — core infrastructure, managed data services, IAM, networking, and security configurations. - Experience with enterprise data warehouse and lakehouse platforms: Snowflake, Databricks, BigQuery, Redshift, Synapse Analytics, or Delta Lake. - Practical experience integrating LLMs or AI-driven tooling into data transformation, schema inference, or mapping workflows (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI). - Familiarity with ontology frameworks (RDF, OWL) or knowledge graph platforms (Neo4j, Stardog, Palantir Ontology). - Active Palantir certification in at least one of the following tracks is required at time of hire or within 90 days of joining: - Palantir Foundry Data Engineer - Palantir Foundry Ontologist - Palantir AIP Application Developer - Palantir Foundry Platform Administrator Preferred Qualifications - AWS Certified Solutions Architect (Associate or Professional) or AWS Certified Data Engineer — Associate. - Microsoft Certified: Azure Data Engineer Associate (DP-203) or Azure Solutions Architect Expert (AZ-305). - Additional cloud data credentials (Snowflake SnowPro Core, Databricks Certified Associate Developer) a plus. - Deep knowledge of real-time event streaming platforms: Apache Kafka, AWS Kinesis, Azure Event Hubs. - Hands-on expertise with enterprise MDM platforms: Informatica MDM, SAP Master Data Governance, Profisee, or Reltio. - Strong command of CI/CD pipelines and infrastructure-as-code tooling: Terraform, Azure DevOps, GitLab CI, Jenkins, ArgoCD. - Proficiency in API development and microservices architecture, including REST, GraphQL, and service mesh patterns. - Experience with data observability, cataloging, and lineage platforms: Monte Carlo, Collibra, Alation, or Apache Atlas. - Working understanding of financial close processes, supply chain operations, revenue cycle management, or procurement workflows. - Familiarity with industry data standards: HL7/FHIR (Healthcare), SWIFT/XBRL (Financial Services), EDI (Manufacturing/Retail). - Comprehensive understanding of data security and regulatory compliance frameworks: GDPR, HIPAA, SOC 2, CCPA, FedRAMP. - Experience with process mining tools (Celonis, UiPath Process Mining) a plus. - SAP Certified Technology Associate or Professional (SAP BTP, SAP Data Services, SAP Integration Suite). - CDMP (Certified Data Management Professional) or DAMA-DMBOK practitioner credentials. - Additional Palantir certifications across multiple tracks are strongly preferred. Work location This role can be worked remotely in Canada in the provinces of Ontario, British Columbia, and Alberta only.

• Design and deliver full stack AI-powered applications from frontend to backend with a focus on scalability and reliability • Build and integrate LLM-powered features using AWS Bedrock, LangChain, and LangGraph • Develop and maintain RESTful and event-driven APIs that power AI workflows • Deploy and manage services on Kubernetes in collaboration with the platform team • Contribute to shared libraries, reusable components, and internal AI enablement tools • Support and mentor AI Developers (SD II) through code reviews and technical guidance • Participate in architecture discussions and help shape engineering standards within the team

• Design and deliver full stack AI-powered applications from frontend to backend with a focus on scalability and reliability • Build and integrate LLM-powered features using AWS Bedrock, LangChain, and LangGraph • Develop and maintain RESTful and event-driven APIs that power AI workflows • Deploy and manage services on Kubernetes in collaboration with the platform team • Contribute to shared libraries, reusable components, and internal AI enablement tools • Support and mentor AI Developers (SD II) through code reviews and technical guidance • Participate in architecture discussions and help shape engineering standards within the team

• Define and own the architecture strategy for AI platforms and applications across Rackspace • Design scalable, reusable AI architecture patterns • Create and govern architecture standards, conduct design reviews • Lead build vs. buy vs. partner decisions for AI tooling and frameworks • Ensure interoperability across teams, platforms, and services • Own the long-term technical vision for the AI engineering function • Mentor and grow senior and mid-level engineers

• Monitor inbound customer ticket requests and route appropriately • Respond directly to customer information requests for specific task responsibilities • Monitor and progress open tickets within agreed time scales to ensure customer/internal response receipt • Proactively take ownership and work tickets • Identify common/recurring operational issues in support queues and support customer to resolution • Identify areas in which ticket volumes could be reduced and managed more efficiently through process or management change • Escalates support requests (phone/ticket) according to escalation procedures • Manage support requests and co-ordinate Rackspace/Customer support teams to deliver within agreed timescales

Role Description - Automate deployments utilizing custom templates and modules for customer environments on AWS. - Architect AWS environment best practices and deployment methodologies. - Create automation tools and processes to improve day to day functions. - Educate customers on AWS and Rackspace best practices and architecture. - Ensure the control, integrity, and accessibility of the cloud environment for the enterprise. - Lead Workload/Workforce Management and Optimization related tasks. - Assist Rackers across the Cloud Function. Qualifications - Expert knowledge of AWS Products & Services, Compute, Storage, Security, networking, etc. - Proficient skills in at least one of the following languages: Python, Linux, Shell scripting. - Proficient skills with git and git workflows. - Excellent working knowledge of Windows or Linux operating systems – experience of supporting and troubleshooting issues and performance. - Highly skilled in Terraform/IaC, including CI/CD practices. - Solid hands-on in Kubernetes & ELK. - Experience in designing, building, implementing, analyzing, migrating, and troubleshooting highly available systems. - Knowledge of at least one configuration management system such as Chef, Ansible, Puppet or any other such tools. - Understanding of services and protocols, configuration, management, and troubleshooting of hosting environments, including web servers, databases, caching, and database services. - Knowledge in the application of current and emerging network software and hardware technology and protocols. - Experienced in solutioning and implementation of Green field projects leveraging IaaS, PaaS for Primary site and DR. Requirements - Passionate about technology and has a desire to constantly expand technical knowledge. - Detail-oriented in documenting information and able to own customer issues through resolution. - Able to handle multiple tasks and prioritize work under pressure. - Demonstrate sound problem-solving skills coupled with a desire to take on responsibility. - Strong written and verbal communication skills, both highly technical and non-technical. - Ability to communicate technical issues to nontechnical and technical audiences. Education - Required Bachelor’s degree in Computer Science or equivalent degree. Certifications - Requires Associate level Certificates in AWS or professional level certificate.

• Automate deployments utilizing custom templates and modules for customer environments on AWS. • Architect AWS environment best practices and deployment methodologies. • Create automation tools and processes to improve day to day functions. • Educate customers on AWS and Rackspace best practices and architecture. • Ensure the control, integrity, and accessibility of the cloud environment for the enterprise. • Lead Workload/Workforce Management and Optimization related tasks.