Resilient Co.

Infrastructure Engineer

• Design, deploy, and maintain production Kubernetes clusters and related services.
• Build and maintain automation and tooling using Python to support platform operations.
• Integrate and operate Prometheus for monitoring, alerting, and observability.
• Deploy and manage Ceph storage solutions for distributed workloads.
• Support platform modernization initiatives and migrate services to cloud-native patterns.
• Troubleshoot and resolve issues in distributed systems across compute, storage, and network layers.
• Collaborate with development, SRE, and operations teams to define platform requirements and SLAs.
• Document platform designs, runbooks, and operational procedures.
• Participate in on-call rotations and incident response to maintain platform availability.

Senior Platform/Infrastructure Engineer

Solutions Engineer

• Design and execute application migrations into Kubernetes clusters.
• Develop and maintain deployment automation for containerized workloads.
• Configure and deploy workloads using Helm charts and Kubernetes primitives.
• Troubleshoot and resolve deployment, integration, and runtime issues.
• Validate application performance and behavior after migration.
• Collaborate with platform, DevOps, and application teams to define integration requirements.
• Build and maintain Kubernetes networking and integration configurations.
• Support cloud-native modernization efforts on AWS and Azure.
• Document migration processes, runbooks, and post-migration validations.

Senior Platform Integration Engineer

Customer Success Manager

• Gestionar el proyecto de implementación de extremo a extremo.
• Coordinar con equipos multidisciplinarios para asegurar el cumplimiento del alcance, los plazos y los estándares de calidad.
• Trabajar en conjunto con el Delivery Technical Manager para la ejecución técnica del proyecto.
• Gestionar el alcance contractual: leer, interpretar y defender los límites del contrato frente al cliente y frente a los equipos internos.
• Establecer planes de comunicación efectivos para cada proyecto y asegurar su ejecución.
• Elaborar informes de estado y gestionar solicitudes de cambio, comunicando impactos en cronograma y presupuesto.
• Obtener la aceptación del cliente según los términos contractuales.
• Conducir la evaluación final del proyecto identificando oportunidades de mejora en el proceso, la documentación y los materiales de capacitación, y escalarlas a las áreas correspondientes.
• Ser el referente estratégico del cliente más allá del go-live, construyendo una relación de confianza con los stakeholders clave de la cuenta.
• Desarrollar y mantener planes de éxito por cuenta, alineando los objetivos del cliente con los hitos de adopción y valor del producto.
• Impulsar la adopción del producto conectando las funcionalidades con los objetivos de negocio del cliente.
• Monitorear proactivamente la salud de la cuenta y actuar antes de que los problemas escalen.
• Conducir revisiones periódicas con el cliente para evaluar el valor generado, el estado de la cuenta y los próximos pasos.
• Ser la voz del cliente hacia adentro: trasladar feedback a Producto, Soporte y Comercial para mejorar la experiencia y el roadmap.
• Identificar señales de upsell y cross-sell dentro de la cartera asignada, a partir del conocimiento profundo del cliente y su uso del producto.
• Escalar estas oportunidades al equipo comercial para su desarrollo.

Senior Customer Success & Delivery Manager

Data Engineer

• Design and build scalable data pipelines to ingest, transform, and curate data from APIs, databases, files, and event streams.
• Lead technical design reviews and translate complex business needs into enterprise-grade data solutions.
• Develop and optimize advanced data models (dimensional, data vault, domain-driven, canonical) to support analytics, BI, and productized datasets.
• Champion SDLC best practices, continuous delivery, and infrastructure automation using CI/CD and Infrastructure as Code.
• Optimize complex distributed workloads using SQL, Python; mentor others on tuning and scalable design patterns.
• Build reusable data frameworks, libraries, and reference architectures to accelerate team productivity and platform adoption.
• Perform root-cause analysis for major data incidents, lead long-term remediation, and drive operational reliability improvements.
• Provide technical mentorship, guide code reviews, and help shape engineering capability maturity.
• Collaborate with Architects, Data Leads, Product Owners, and cross-functional engineering teams to define long-term data strategies.
• Perform other duties as assigned.

Senior Data Engineer

Backend Engineer

• Design, develop, and maintain highly scalable backend services and enterprise applications using Python and Java.
• Build high-performance solutions capable of processing and managing large-scale datasets.
• Develop and maintain RESTful APIs and microservices integrations with internal and external systems.
• Design software architectures that prioritize reliability, scalability, security, and operational efficiency.
• Optimize application performance, troubleshoot production issues, and implement proactive monitoring.
• Implement automated testing, CI/CD pipelines, and infrastructure management practices.
• Deploy and operate containerized applications using Kubernetes, collaborating on orchestration and runtime configuration.
• Participate in code reviews and promote engineering best practices, coding standards, and quality assurance processes.
• Collaborate with architects, product owners, DevOps engineers, and business stakeholders to deliver platform features.
• Support production environments to ensure system availability, resiliency, and performance.
• Contribute to continuous improvement initiatives focused on platform modernization and operational excellence.

Senior Backend Developer, Python/Java

Software Engineer

• Design and develop advanced ServiceNow configurations and customizations across CSM, ITSM, HRSD, and SLO modules.
• Architect and implement integrations using IntegrationHub, MID Server, REST/SOAP APIs, and Workflow Data Fabric.
• Build and maintain business rules, client scripts, script includes, UI actions, and scheduled jobs using server-side JavaScript and Glide APIs.
• Lead technical design reviews and code reviews, enforcing Azure DevOps stage gates and SDLC standards.
• Deliver Now Assist (GenAI) feature rollouts including AI-assisted case deflection and knowledge article generation.
• Partner with platform administrators on upgrade readiness, patching cycles, and regression test planning.
• Translate complex HRSD, IT Service Desk, and CSM requirements into scalable technical solutions with complete documentation.
• Produce and maintain technical design documents, integration specifications, and operational runbooks.
• Mentor mid-level developers and system administrators on platform best practices, performance tuning, and security hardening.
• Ensure deployments follow Dev > Test > Prod update set pipelines and Azure DevOps release controls.

Senior Service Now Developer

Business Analyst

• Lead stakeholder discovery: interviews, JAD workshops, and observations to elicit, document, and validate requirements.
• Decompose epics into user stories, define acceptance criteria, and maintain sprint-ready backlog in Azure DevOps.
• Design UAT strategy, author test scripts, coordinate business testers, log and triage defects in ADO, and own UAT sign-off.
• Identify AI, machine learning, and automation opportunities (Now Assist/GenAI, Power Automate) and build structured business cases with ROI.
• Map current-state and future-state processes, perform gap and root cause analysis, and recommend implementable solutions.
• Analyze and cleanse data to support decisions; produce interpretable visualizations and present findings to stakeholders.
• Bridge functional requirements and platform capabilities for ServiceNow, Power Platform, and .NET/web applications to define configuration vs. development decisions.
• Challenge requirements when feasibility, scalability, platform fit, or business value is unclear.
• Manage sponsors, product owners, and cross-region stakeholders; surface risks, communicate tradeoffs, and control scope.
• Produce enterprise-standard documentation: requirement specs, process maps, data flow diagrams, user story libraries, and runbooks.
• Mentor junior BAs and interns; review deliverables and enforce ADO hygiene and documentation standards.
• Create documentation that is clear, reusable, and understandable by people outside the original discussion.

Senior Business Analyst

Content Marketing Manager

• Write and maintain UI microcopy including labels, tooltips, errors, and confirmations
• Create emails, notifications, and other lifecycle communications
• Draft task flows and onboarding steps that guide users through product experiences
• Ship content quickly and iterate based on user feedback and product signals
• Apply established content frameworks, guidelines, and patterns consistently
• Identify and resolve gaps, inconsistencies, and edge cases in content
• Partner closely with the AI Content Strategist, Product Designers, and Product Managers
• Document reusable content approaches and contribute to lightweight style guides
• Test and refine AI-generated content outputs and flag issues related to tone or clarity
• Contribute example content for AI training and prompting

Senior Content Designer

Content Manager

• Define content models, taxonomy, and modular frameworks for tagging, reuse, and scalability
• Lead content strategy for a large-scale onboarding migration (ServiceNow/Workday)
• Structure content for immediate usability and AI-readiness
• Develop prompt frameworks, templates, and variation patterns for AI onboarding experiences
• Define personalization logic and content behavior within AI systems
• Establish evaluation criteria and quality benchmarks for AI-generated content
• Direct and guide Content Designer(s) on execution and deliverables
• Create repeatable frameworks, patterns, and documentation for content systems
• Enable product, design, and PM teams to independently apply content systems
• Partner with Product, Design, Engineering, and Change Management teams to align messaging and rollout strategy
• Identify and prioritize new AI-driven content opportunities