Cloud Engineer

• Operate, maintain, and continuously improve the Bank’s enterprise OpenShift and Kubernetes platform.
• Ensure platform stability, scalability, security, and performance across hybrid cloud environments.
• Perform complete platform lifecycle management including installation, upgrades, patching, maintenance, and decommissioning.
• Participate in a rotating on-call support schedule within a four-person team.
• Design, implement, and operate enterprise-grade Kubernetes/OpenShift environments.
• Manage networking, storage, security, and cluster services.
• Develop reusable container platform standards, templates, and base images.
• Support business application teams in adopting cloud-native technologies and containerized workloads.
• Provide architectural guidance for high availability, disaster recovery, and workload resilience.
• Develop and maintain infrastructure automation using Infrastructure as Code (IaC) principles.
• Build reusable automation frameworks using Ansible, Terraform, and GitOps methodologies.
• Improve operational efficiency through scripting and automation.
• Standardize platform configuration management and orchestration.
• Design and maintain GitOps workflows using Argo CD.
• Integrate CI/CD pipelines into infrastructure deployment processes.
• Promote DevOps best practices across infrastructure and application delivery teams.
• Collaborate closely with software engineering teams to enable automated application deployment.
• Integrate security scanning, compliance controls, and observability into the platform.
• Ensure alignment with Bank security standards, governance, and change management processes.
• Design resilient platform architectures supporting disaster recovery and business continuity.
• Contribute to the Bank’s hybrid cloud strategy and platform roadmap.
• Evaluate emerging technologies and recommend improvements.
• Drive automation initiatives across the infrastructure landscape.
• Promote engineering best practices and continuous improvement.
• Work closely with Infrastructure, Security, Networking, Storage, Cloud, and Application Development teams.
• Support development teams building cloud-native, serverless, and containerized applications.
• Communicate technical concepts effectively to both technical and non-technical stakeholders.

Senior OpenShift / Kubernetes Platform Engineer

• Assess on-premises hosts, applications, databases, middleware, and infrastructure components to perform technical discovery and migration readiness analysis.
• Analyze CPU, memory, storage utilization, dependencies, integrations, runtime patterns, licensing considerations, and application architecture.
• Identify migration risks, technical constraints, dependencies, and remediation requirements.
• Analyze workloads based on functionality, business criticality, resiliency requirements, compliance needs, and interruption tolerance.
• Define appropriate cloud placement strategies including rehost, replatform, refactor, retire, retain, or replace approaches.
• Design and provision cloud infrastructure capacity required to support migration activities, testing environments, and production workloads.
• Configure cloud resources including compute, storage, networking, identity, security controls, monitoring, and operational tooling.
• Validate cloud environments against architecture standards, security requirements, and operational readiness criteria.
• Implement infrastructure automation using Infrastructure as Code practices.
• Execute migration waves following approved migration plans, runbooks, and change management procedures.
• Perform User Acceptance Testing (UAT), production parallel testing, and technical validation activities.
• Compare pre-migration and post-migration results, capture evidence, troubleshoot discrepancies, and drive issues through resolution.
• Support production cutovers, release activities, rollback procedures, and post-release validation.
• Perform post-migration health checks to ensure workload stability, performance, scalability, and operational readiness.
• Perform workload tuning and optimization to ensure migrated applications are stable, scalable, reliable, and cost efficient.
• Analyze performance metrics, resource utilization, logs, and operational data to identify optimization opportunities.
• Support monitoring, alerting, backup, disaster recovery, patching, and operational support requirements.
• Assist with cloud cost optimization through resource right-sizing and utilization analysis.
• Partner with application engineering, infrastructure, security, database, and platform teams to define migration plans and execution strategies.
• Collaborate with business stakeholders to establish validation criteria, acceptance requirements, and migration timelines.
• Participate in architecture reviews, technical discussions, and solution design activities.
• Communicate technical risks, dependencies, progress, and migration status effectively.
• Design, enhance, and implement automation frameworks to enable repeatable, scalable, and efficient cloud migrations.
• Develop AI-assisted solutions and automation capabilities to improve migration discovery, analysis, execution, and documentation processes.
• Create reusable scripts, templates, tools, and frameworks supporting migration factory operations.
• Document migration procedures, technical standards, operational learnings, risks, and best practices.
• Continuously improve migration methodologies, processes, and delivery models.

Cloud Migration Engineer

• Lead the assessment, planning, and architecture of full stack application modernization and migration projects to Microsoft Azure
• Analyze existing application portfolios for cloud readiness, dependencies, and modernization opportunities
• Architect end-to-end migration solutions including re-hosting, re-platforming, and refactoring of front-end, back-end, and data components
• Design cloud-native application architectures using Azure services such as Azure App Services, Azure Functions, AKS, Azure SQL Database, Cosmos DB, Blob Storage, Azure API Management, and Azure Active Directory
• Develop and maintain Infrastructure as Code (IaC) templates using Azure Resource Manager (ARM), Terraform, or Bicep
• Implement CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools, incorporating AI-powered code quality gates and automated security scanning
• Lead and mentor development teams on AI-native engineering practices, establishing standards for AI tool adoption and measuring productivity gains across modern development frameworks (React, Angular, Vue.js) and backend technologies (Node.js, .NET Core, Java, Python)
• Ensure application security best practices including Azure AD integration, role-based access control (RBAC), data encryption, and compliance
• Collaborate cross-functionally with DevOps, Security, QA, and Business teams for smooth migration and ongoing support
• Monitor application performance, cost, and availability post-migration; implement optimization strategies
• Evaluate and integrate agentic AI solutions into development and deployment workflows to drive automation and efficiency
• Drive documentation of architecture designs, migration plans, and operational procedures

Azure AI-Native Full Stack Manager

• Lead the assessment, planning, and architecture of full stack application modernization and migration projects to Microsoft Azure.
• Analyze existing application portfolios for cloud readiness, dependencies, and modernization opportunities.
• Architect end-to-end migration solutions including re-hosting, re-platforming, and refactoring of front-end, back-end, and data components.
• Design cloud-native application architectures using Azure services such as Azure App Services, Azure Functions, AKS, Azure SQL Database, Cosmos DB, Blob Storage, Azure API Management, and Azure Active Directory.
• Develop and maintain Infrastructure as Code (IaC) templates using Azure Resource Manager (ARM), Terraform, or Bicep.
• Implement CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools, incorporating AI-powered code quality gates and automated security scanning.
• Lead and mentor development teams on AI-native engineering practices, establishing standards for AI tool adoption and measuring productivity gains across modern development frameworks (React, Angular, Vue.js) and backend technologies (Node.js, .NET Core, Java, Python).
• Ensure application security best practices including Azure AD integration, role-based access control (RBAC), data encryption, and compliance.
• Collaborate cross-functionally with DevOps, Security, QA, and Business teams for smooth migration and ongoing support.
• Monitor application performance, cost, and availability post-migration; implement optimization strategies.
• Evaluate and integrate agentic AI solutions into development and deployment workflows to drive automation and efficiency.
• Drive documentation of architecture designs, migration plans, and operational procedures.

Manager – Azure AI-Native Full Stack, Cloud Engineering, Data & Analytics

• Lead the design and execution of advanced Generative and Agentic AI solutions
• Serve as a strategic advisor to confirm alignment with digital transformation objectives
• Mentor and guide multidisciplinary teams to achieve exceptional outcomes
• Innovate and implement end-to-end technology solutions in AI architectures
• Collaborate with stakeholders to identify and address intricate challenges
• Drive initiatives that enhance operational productivity and effectiveness

Senior Manager – Cloud Engineering, Data & Analytics – Azure AI-Native Full Stack

• Diseñar, desarrollar y mantener pipelines de datos utilizando Azure Data Factory.
• Desarrollar procesos ETL/ELT utilizando Python y SQL.
• Modelar y optimizar datos en Snowflake para mejorar desempeño y escalabilidad.
• Trabajar con Azure Data Lake como parte de la arquitectura de datos.
• Participar en decisiones técnicas relacionadas con la arquitectura de la plataforma de datos.
• Configurar y habilitar recursos dentro de Azure cuando sea necesario para soportar nuevas soluciones.
• Optimizar consultas SQL, procesos de transformación y rendimiento de los pipelines.
• Colaborar con distintos equipos para asegurar la disponibilidad, calidad y confiabilidad de los datos.
• Preparar datasets para consumo analítico y herramientas de visualización como Power BI.

Senior Data Engineer – Azure Data Platform, Snowflake

• Colaborar con las partes interesadas para definir la arquitectura
• Participar en revisiones de arquitectura para garantizar la alineación con los patrones
• Monitorizar y mejorar la productividad de los desarrolladores

Cloud Architect

• Understand client requirements and lead the creation of robust data platforms leveraging Data Lakehouse architectures, serving as the primary subject matter expert for the Azure data ecosystem (Microsoft Fabric, Azure SQL, and Power BI).
• Design and implement scalable data models, ETL/ELT pipelines, and analytics layers using modern cloud ecosystems.
• Architect Microsoft Fabric reporting solutions, establishing medallion layering, managing capacity planning, ensuring freshness governance, and configuring CDC/mirroring from Azure SQL into Fabric.
• Enforce strict data-layer segregation ensuring PII is excluded by construction, maintaining multi-tenant isolation within the analytics layer, and strictly adhering to 10+ year regulated data retention policies.
• Lead complex migration efforts off legacy systems (e.g., AirTable, Smartsheet) to Microsoft Fabric, effectively managing mid-program form and rule drift, and establishing reliable, per-client export channels.
• Lead end-to-end analytics projects — from requirement gathering to deployment.
• Mentor junior team members, perform code reviews, and ensure adherence to quality standards. Work closely with cross-functional teams (engineering, product, business) to align data strategy with business goals.
• Develop and optimize complex SQL queries, Power BI semantic models, dashboards, and reports (transitioning from legacy LookML/BigQuery paradigms).
• Troubleshoot performance bottlenecks, data inconsistencies, and integration challenges.
• Stay up to date with advancements in the analytics and cloud data ecosystem.
• Drive innovation in reporting and analytics capabilities. Recommend and implement new tools, frameworks, and practices to enhance the data platform.
• Define best practices, coding standards, and governance for analytics projects.
• Monitor data systems performance and implement optimization strategies.
• Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
• Build and oversee AI-ready data pipelines, focused on feeding scrubbed, segmented data to assistive AI (embeddings, vector stores, and feature stores) and integrating GenAI into analytics and data products.
• Drive adoption of AI-assisted data engineering across the team: copilots for SQL/transformation/pipeline code, plus automated testing and documentation.
• Define governance and quality standards for data consumed by LLMs and agents.

Lead Data Engineer, Azure

• Diseñar e implementar soluciones de Document Intelligence utilizando servicios de Microsoft Azure AI .
• Desarrollar pipelines de extracción, clasificación, validación y enriquecimiento de información a partir de documentos no estructurados.
• Integrar soluciones de IA con APIs, sistemas empresariales, almacenamiento en la nube y SharePoint.
• Traducir requerimientos de negocio en arquitecturas y soluciones técnicas escalables.
• Mejorar continuamente la precisión, rendimiento y confiabilidad de las soluciones implementadas.
• Generar documentación técnica, diagramas de arquitectura y participar activamente en metodologías ágiles.

AI Azure Engineer – Bilingüe

• Design and implement AWS-native cloud architectures following best practices
• Build and maintain Infrastructure as Code (IaC) solutions using Terraform, Terragrunt, or OpenTofu
• Develop and optimize cloud automation workflows for provisioning, de-provisioning, and auditing cloud resources
• Create API-driven orchestration and automation solutions using Python or Node.js
• Integrate cloud services with ServiceNow and enterprise platforms
• Design secure and scalable AWS networking solutions, including VPCs, Transit Gateway, and Route53
• Analyze operational data using SQL to identify automation opportunities and reduce manual effort
• Implement observability and monitoring solutions using Datadog
• Ensure compliance, governance, and audit requirements are met, including SOX-related controls

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