Verity Group

iOS Engineer

• Develop and enhance native iOS interfaces using Swift
• Implement new features with a focus on quality, performance, and code reusability
• Integrate APIs using Repository and Service architecture in conjunction with MVVM-C
• Use the native URLSessionTask and URLSessionDataTask libraries for API communication
• Work with reusable Design System components, ensuring visual and user experience consistency
• Support continuous integration and delivery (CI/CD) processes, contributing to the evolution of the development lifecycle
• Manage project dependencies through Swift Package Manager

iOS Developer

Content Writer

• Optimize the customer journey and experience across automated communication channels, with a focus on WhatsApp and chatbots.
• Develop a deeper understanding of business processes and flows.
• Ensure the traceability and measurement of the entire experience through data tagging and instrumentation throughout the customer journey.
• Act as the guardian of the customer experience.
• Turn data into insights.
• Design more efficient and intuitive flows that drive greater satisfaction and conversion.

Mid-Level UX Writer

Artificial Intelligence

• Work closely with Delivery Leads and Champions
• Understand project challenges
• Define the adoption strategy and determine where the AI Advanced Assets team should contribute
• Transform delivery challenges into new approaches
• Design functional solutions using GenAI
• Guide Consultants
• Track results
• Ensure adoption translates into increased productivity and quality

Functional Consultant, SAP, Generative AI

Solutions Engineer

• Map business needs, domains, and capabilities, translating them into technical requirements and solutions.
• Define solution architecture, including architectural patterns, components, integrations, and communication flows.
• Design solutions with performance, scalability, resilience, availability, and security in mind.
• Evaluate and select technologies based on requirements, impacts, costs, and integration with the existing environment.
• Analyze the solution’s impact on applications, data, security, and infrastructure.
• Document architectures, flows, technical decisions, and opportunities for evolution.
• Define metrics, monitoring, observability, and alerts to track solutions.
• Identify technical risks and support the definition of mitigation actions.
• Provide technical leadership to teams throughout solution definition and implementation.
• Work on digital transformation and engineering projects focused on modernizing applications, architecture, software, data, and processes through artificial intelligence.

Solutions Architect, Mid-Level

Financial Planning and Analysis

• Support accounts payable and accounts receivable activities;
• Enter, verify, and clear transactions in the financial system;
• Issue invoices, payment slips, and reports;
• Support cash flow monitoring;
• Perform bank reconciliations;
• Organize financial documents, receipts, and files;
• Monitor due dates and support payment scheduling;
• Assist with customer collections and monitor outstanding balances;
• Support accounting and tax closing procedures;
• Update spreadsheets and internal controls;
• Liaise with customers, suppliers, and internal teams to align information;
• Contribute to improving and standardizing financial and billing processes.

Financial Assistant

Chief Technology Officer

• Lead Verity’s technology strategy, connecting business challenges, architecture, pre-sales, and delivery.
• Translate business challenges and objectives into appropriate, viable, and sustainable technical solutions.
• Define software and solution architectures considering scalability, security, performance, integrations, cloud, operations, costs, and technological evolution.
• Lead technical pre-sales by structuring approaches, architectures, estimates, risks, assumptions, dependencies, and execution strategies.
• Support the preparation of technical and commercial proposals, ensuring the clarity and feasibility of the solutions presented.
• Prepare project and team estimates and sizing.
• Provide technical leadership throughout end-to-end delivery, overseeing the solution, scope, quality, risks, dependencies, and outcomes.
• Ensure alignment between what was sold and what will be delivered.
• Take a hands-on role in architecture, engineering, and development decisions, as well as in resolving critical technical challenges.
• Conduct technology assessments and diagnostics, identifying risks, gaps, technical debt, and modernization opportunities.
• Serve as a technical reference for clients and support decisions with technical and executive stakeholders.
• Translate technology topics into business impacts, risks, costs, opportunities, and value.
• Define and promote standards and best practices in architecture, engineering, security, quality, and operations.
• Develop technology leaders and professionals, increasing the technical maturity of Verity and its teams.
• Promote the responsible adoption of Artificial Intelligence, automation, and emerging technologies.
• Partner with Commercial, Delivery, Product, Operations, People, and other strategic teams.

Head of Technology

AI Engineer

• Design, develop, and evolve agents and workflows using MCP-based architectures
• Build RAG pipelines and context-retrieval mechanisms using vector databases
• Integrate agents with APIs, tools, and external services to execute complex workflows
• Develop agents in Python, preferably using Google ADK
• Build and maintain agentic workflows using DeepAgents
• Integrate AI models and services through Vertex AI and Gemini models
• Define architectural standards, reusable components, and technical governance guidelines for the platform
• Ensure solution observability through logs, metrics, and tracing
• Partner with technical teams to ensure consistent integration between AI agents and enterprise applications
• Design solutions aligned with business processes, integrations, and objectives
• Ensure developed components are scalable, reusable, and ready for continuous evolution
• Define and apply validation and evaluation strategies for LLMs and agents, using metrics and tools such as DeepEval and LLM-as-a-Judge approaches

Senior AI Engineer

Full-stack Engineer

• Provide technical leadership within the squad, taking responsibility for technical decisions and definitions
• Monitor execution alongside the Dev Team and negotiate with other teams regarding the handling of integrations and dependencies
• Direct the standards and practices defined by the System Team
• Ensure code quality and best practices in accordance with the standards established by the Program
• Plan and support deployments and perform post-deployment monitoring
• Define and ensure non-functional application requirements, including technical certification, SonarQube, and automated testing
• Oversee DevOps pipelines and application monitoring across testing, staging, and production environments
• Define integrations with the relevant teams and collaborate with Data Administrators on data modeling

Senior Tech Lead

DevOps Engineer

• Define and track SLIs, SLOs, SLAs, MTTR, and MTTD
• Implement observability, monitoring, alerting, and APM
• Monitor latency, traffic, errors, saturation, availability, and performance
• Work on incident prevention, identification, and resolution
• Lead root cause analyses and define actions to prevent recurrence
• Identify risks, bottlenecks, and single points of failure
• Support the design of resilient, scalable, and highly available solutions
• Automate operational activities and reduce manual tasks
• Operate and evolve Kubernetes and Docker environments
• Support capacity planning, business continuity, and disaster recovery strategies
• Participate in deployments and support application stabilization
• Collaborate with teams to improve reliability from the solution design stage
• Create and maintain dashboards, alerts, procedures, and operational documentation
• Promote a culture of reliability, observability, and continuous improvement

SRE Engineer

• Define and track SLIs, SLOs, SLAs, MTTR, and MTTD
• Implement observability, monitoring, alerting, and APM
• Monitor latency, traffic, errors, saturation, availability, and performance
• Prevent, identify, and resolve incidents
• Conduct root cause analyses and define actions to prevent recurrence
• Identify risks, bottlenecks, and single points of failure
• Support the design of resilient, scalable, and highly available solutions
• Automate operational activities and reduce manual tasks
• Operate and evolve Kubernetes and Docker environments
• Support capacity planning, business continuity, and disaster recovery strategies
• Participate in deployments and support application stabilization
• Work with teams to improve reliability from the solution design stage
• Create and maintain dashboards, alerts, procedures, and operational documentation
• Promote a culture of reliability, observability, and continuous improvement

IT Support

• Diagnose the current support model, identifying risks, bottlenecks, and opportunities for improvement across processes, applications, integrations, and vendors.
• Design and implement incident, problem, request, change, and knowledge management processes using ITIL and COBIT practices.
• Structure the service catalog, service levels, responsibility matrix, SLAs, and escalation mechanisms.
• Assess applications and integrations regarding documentation, monitoring, failure handling, and support readiness.
• Define operational readiness, acceptance, knowledge transfer, and stabilization criteria for transitioning projects into support.
• Establish operational and vendor performance indicators, controls, and monitoring routines.
• Validate the model through pilots, lead assisted implementation, and train the teams responsible for operations.
• Deliver processes, procedures, controls, and indicators applicable to the teams’ day-to-day operations.
• Establish boundaries between support, fixes, enhancements, and projects, integrating support, development, infrastructure, and vendors.
• Ensure traceability of activities and decisions in alignment with governance, security, and audit controls.
• Structure knowledge management and business continuity mechanisms.
• Formalize the transition of the model to internal owners, including documentation, outstanding items, and an evolution plan.

IT Support and Governance Specialist Consultant

Data Engineer

• Build pipelines to extract, store, standardize, and share data
• Apply data strategies in accordance with standards and principles defined by the data architecture and governance teams
• Work in a modern data engineering and processing environment
• Use technologies and tools from the Google Cloud ecosystem
• Apply automation, orchestration, and development practices

Senior Data Engineer

• Design, develop, and evolve agents and workflows using MCP-based architectures
• Build RAG pipelines and context-retrieval mechanisms using vector databases
• Integrate agents with APIs, tools, and external services to execute complex workflows
• Develop agents in Python, preferably using Google ADK
• Build and maintain agentic workflows using DeepAgents
• Integrate AI models and services through Vertex AI and Gemini models
• Define architectural standards, reusable components, and technical governance guidelines for the platform
• Ensure solution observability through logs, metrics, and tracing
• Partner with technical teams to ensure consistent integration between AI agents and enterprise applications
• Design solutions aligned with business processes, integrations, and objectives
• Ensure that developed components are scalable, reusable, and prepared for continuous evolution
• Define and apply validation and evaluation strategies for LLMs and agents using metrics, DeepEval, and LLM-as-a-Judge

• Serve as a Senior Tech Lead at Verity
• Build scalable and robust infrastructure for customer service channels
• Integrate IVR systems with external systems using IVR and CTI concepts
• Train and improve the efficiency of digital agents using NLP and machine learning
• Participate in Verity’s digital transformation and engineering initiatives

Product Manager

• Drive the evolution of the IRES/Horizon platform, working in a hybrid capacity combining Technology Project Manager and Product Owner responsibilities.
• Accelerate delivery, track testing and user acceptance activities, organize and prioritize the backlog, and ensure new features align with the product.
• Gather, refine, and validate requirements for new IRES/Horizon features.
• Write user stories and PBIs with clear acceptance criteria.
• Prioritize and maintain the backlog in collaboration with business teams.
• Track timelines, sprints, and deliverables from the development vendor.
• Manage risks, impediments, and dependencies across teams.
• Coordinate the testing and user acceptance cycle between CBRE and the vendor.
• Classify bugs and track metrics such as average handling time (TMA) and the bug backlog.
• Prepare weekly executive reports on progress, risks, decisions, and next steps.
• Lead discovery meetings and document user journeys and business rules.
• Serve as the liaison between business, technology, and delivery teams.