• Focus: Architecture, solution design, and data mapping • We are looking for a Data Architect to define and evolve robust, scalable, data-driven architectures that connect business strategy with technology. • Elicit and refine requirements with business stakeholders and technical teams • Design end-to-end architectures (ingestion, processing, storage, and consumption) • Evaluate technical alternatives (trade-offs) considering cost, risk, and time-to-market • Produce architecture artifacts and lead validation sessions

• Solutions Architect (HLD / High-Level Architecture) • Academic background in IT, Engineering, Information Systems or related fields • Postgraduate degree or specialization in Software Architecture, Cloud or related areas (preferred) • Architecture and Design: experience with HLD, strong command of architecture models/frameworks, definition of components and flows • Systems Integration: complex integrations between systems, knowledge of integration contracts, distributed resilience • Data and Governance: experience with data architecture, understanding of data flows, knowledge of LGPD (Brazilian Data Protection Law) • Engineering and Quality: definition of non-functional requirements, production of technical documentation

Role Description We are seeking a detail-oriented Architectural Drafter to support our design and drafting needs. The ideal candidate will have strong experience creating floor plans, construction drawings, and technical layouts. You must be proficient in Revit, AutoCAD, and Asana, and capable of delivering accurate, high-quality work within set timelines. - Draft detailed floor plans, elevations, and architectural layouts. - Interpret sketches, markups, and design instructions provided by architects or project managers. - Maintain project tasks, updates, and documentation using Asana. - Ensure all drawings comply with relevant architectural standards and client requirements. - Collaborate with the design team, respond to revisions, and meet daily expectations. Qualifications - Licensed user of Revit and AutoCAD — Software not provided. - Proven experience in drafting architectural plans, especially floor plans. - Strong attention to detail, accuracy, and time management. - Familiarity with remote task management tools (Asana). - Ability to complete and pass a trial test to demonstrate skills. Benefits - Weekly pay - Work from home Company Description

Role Description The AI Enhanced Azure Platform Practice Architect I is a mid-level technical role within the Azure Platform and AI practice at TEKsystems Global Services. This individual contributor role is focused on supporting the design, implementation, and delivery of Azure cloud, DevOps, and AI-enhanced solutions under the guidance of senior architects and practice leads. The PA I will work alongside senior team members to deliver client engagements, develop their technical skillset across Azure platform and AI tooling, and progressively take on greater ownership of workstreams. The position is expected to spend approximately 85% of time on delivery support and 15% on internal practice and pre-sales support activities. Key Responsibilities - Azure Platform & DevOps Support - Support the design and implementation of client DevOps solutions and Azure cloud architectures under the direction of senior architects. - Assist in architecting and building Development, Testing, and Infrastructure environments on Azure. - Contribute to project scoping activities by gathering requirements and documenting technical specifications. - Participate in Azure Migrate efforts — assisting app teams with migration of custom and third-party applications to Azure. - Create and deploy Terraform Templates and contribute to Infrastructure as Code (IaaC) development. - Operate and maintain Azure DevOps pipelines and assist with workflow configuration and troubleshooting. - Assist in building automation frameworks to support scaling of environments and new application deployments. - Develop scripts and tools to automate manual procedures and increase operational efficiency. - Support monitoring and analytics systems and assist with continuous improvement initiatives. - Adhere to production change control policies and document process improvement opportunities. - Contribute to high-level design documentation, technical assessments, and implementation guides. - Assist with disaster recovery and business continuity planning documentation under senior guidance. - AI-Enhanced Capabilities & Tooling - Support the implementation of AI solutions using Azure services such as Azure OpenAI, Azure Machine Learning, Cognitive Services, and Azure Synapse Analytics. - Assist in integrating AI models into enterprise applications, DevOps pipelines, and data workflows. - Contribute to MLOps practices including pipeline configuration using Azure DevOps, AKS, and Azure Container Registry. - Apply AI tooling to support automation, monitoring enhancement, and anomaly detection on client engagements. - Help develop and maintain reusable AI architecture patterns and reference implementations. - Ensure implemented AI components meet documented performance, security, and compliance requirements. - Actively learn and stay current with emerging Azure AI technologies and share findings with the team. - Collaboration & Professional Development - Work closely with senior architects, delivery managers, and client stakeholders to understand requirements and deliver solutions. - Participate in client-facing meetings and assist with presentations, status updates, and technical walkthroughs. - Contribute to internal knowledge sharing, documentation, and practice asset development. - Proactively seek mentorship and feedback from senior team members to accelerate skill growth. - Support pre-sales activities including technical research, proposal contributions, and solution brief preparation. - Collaborate across practices (InfoSec, Network, Data Center Support, Managed Services) to support integrated delivery. Qualifications - Bachelor’s degree in Computer Science, Management Information Systems, Engineering, or a related field — or commensurate real-world experience. - 3–5 years’ experience working in cloud infrastructure, DevOps, or Azure-related roles. - Exposure to or foundational experience with Azure AI/ML services is a plus. - Experience in a consulting, professional services, or client-facing delivery environment preferred. Requirements - Working knowledge of the Azure GUI, Azure CLI, PowerShell, ARM Templates, Azure DevOps, Terraform, and Git. - Foundational understanding of Azure AI and ML services: Azure OpenAI, Azure Machine Learning, Cognitive Services, and/or Azure Synapse Analytics. - Basic proficiency in Python, R, or other scripting/AI-related languages. - Understanding of cloud-native design principles and Infrastructure as Code concepts. - Familiarity with VMware, Windows Server, Linux, and LAN/WAN concepts. - Exposure to data engineering tools such as Azure Data Factory or Databricks is a plus. - Awareness of security and governance frameworks (e.g., ISO 27001, NIST). - Familiarity with Microsoft’s Cloud Adoption Framework and cloud enablement concepts. Benefits - Medical, Dental, and Vision. - Critical Illness, Accident, and Hospital. - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available. - Life Insurance (Voluntary Life and AD&D for 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).