SysMap Solutions

Product Designer

• Work end-to-end across the design process (discovery → delivery);
• Lead interface design (UI) with a high volume of requests;
• Work closely with Product (PO) and development teams;
• Manage priorities and deliveries while operating across two squads;
• Ensure consistency, quality, and scalability of design solutions;
• Contribute to the evolution of legacy products (current phase);
• Progress toward a more strategic role involving:
• Discovery
• Running experiments
• Defining the future vision for Campaigns and Incentives products for Brokers

Product Designer – Healthcare

Recruitment

• Structure and implement Talent Acquisition policies, objectives and guidelines integrated with the corporate plan;
• Ensure scalability of recruitment processes, aligned with the company’s growth cycles;
• Act proactively to anticipate hiring demands and operational capacity planning;
• Define, monitor and interpret key performance indicators (KPIs);
• Establish governance rituals;
• Perform predictive analyses and continuous diagnostics;
• Propose and lead structured action plans;
• Act as a strategic liaison for Talent Acquisition;
• Develop and implement AI-based solutions;
• Manage the Recruitment & Selection budget;
• Lead, develop and engage the team;
• Work cross-functionally with different areas.

Talent Acquisition Manager – Talent Operations

Product Manager

• Define and prioritize the backlog strategically, aligning deliveries with business objectives;
• Build and evolve the product roadmap, connecting tactical initiatives to the long-term strategy;
• Lead Product Discovery initiatives, validating problems, opportunities and solutions with customers;
• Write clear user stories and business requirements, ensuring alignment between business and technology;
• Collaborate with Design, Engineering, Data and other teams to develop customer-centered products;
• Define, monitor and analyze product metrics (KPIs and OKRs), driving data-informed decisions;
• Manage stakeholders, dependencies and risks, ensuring alignment and delivery predictability;
• Identify opportunities for product evolution based on market trends, customer behavior and business outcomes. Foster a product culture based on collaboration, experimentation and customer focus.

Senior Product Manager

Sales Engineer

• Act as the dedicated Technical Lead / Solutions Architect for the project
• Drive and consolidate technical decisions and the platform's integration architecture
• Ensure adherence to the institution's architectural principles and standards
• Lead discussions among the different teams involved
• Align integration contracts (APIs, events, canonical models, callbacks/webhooks) and the responsibilities of each system
• Lead the architectural decision-making process with the project team
• Record and justify decisions (e.g., ADRs)
• Propose the detailed solution design based on the existing blueprint / high-level architecture
• Specify authentication/authorization patterns (OAuth2), routing and proxies in the API Gateway
• Liaise with the Enterprise Architecture team to validate proposed solutions
• Engage with the project sponsor and user teams to clarify and guide issues that impact the solution architecture
• Support the preparation of materials and technical reports required by the project's governance bodies.

Senior Solutions Architect

Backend Engineer

• Develop and enhance front-end applications in Angular and back-end services in Java;
• Build and maintain APIs and microservices;
• Participate in functional and technical refinement sessions;
• Take part in Scrum ceremonies (planning, daily, review, and retrospective);
• Ensure application quality, performance, security, and maintainability;
• Implement automated tests (unit and integration);
• Perform code reviews and promote development best practices;
• Monitor applications and support production incident analysis;
• Contribute to defining technical and architectural standards;
• Mentor developers and support the team’s technical growth;
• Collaborate with Product, QA, DevOps, SRE, and Architecture teams.

Senior Full Stack Developer – Java, Angular

Machine Learning Engineer

• Lead the MLOps strategy on Databricks, defining architecture and standards;
• Design and review CI/CD pipelines for ML models (training, packaging, deployment, rollback);
• Define practices for model versioning and registry, feature stores, experiment reproducibility, and serving;
• Establish end-to-end observability: performance, data/model drift, data quality, and business metrics;
• Review PRs and critical architecture decisions; mentor the squad on the most complex topics;
• Ensure governance, security, and cost control of the data and AI platform;
• Participate in key ceremonies (planning, technical refinements, checkpoints), optimized for a part-time workload.

Tech Lead, MLOps – Senior

• Design and maintain CI/CD pipelines for ML models and LLM/RAG applications (training, packaging, deployment, and rollback);
• Operationalize the model lifecycle: versioning, model registry, feature stores, orchestration, and experiment reproducibility;
• Build and scale serving platforms (batch and online) with focus on latency, cost, and availability;
• Implement end-to-end observability: performance monitoring, data/model drift detection, data quality, and business metrics;
• Establish governance, security, and cost-control practices for data and AI infrastructure;
• Collaborate with data science and engineering teams to standardize environments and reduce time from lab to production;
• Define standards, documentation, and MLOps/LLMOps best practices for squads.

Senior MLOps Engineer

Data Engineer

• Desenvolver, evoluir e sustentar pipelines de dados escaláveis para ingestão, transformação e disponibilização de informações em ambiente Databricks, utilizando Python, SQL, Spark e DBT;
• Projetar, implementar e optimizar processos de ETL/ELT, garantindo alta performance, confiabilidade, governança e qualidade dos dados ao longo do ciclo de vida das soluções;
• Construir, manter e monitorar workflows e DAGs no Apache Airflow, assegurando a correta orquestração, automação e observabilidade das cargas de dados;
• Atuar na modelagem e implementação das camadas Bronze, Silver e Gold seguindo a arquitetura Lakehouse e as melhores práticas de Data Engineering;
• Integrar dados provenientes de múltiplas fontes, como APIs, bancos de dados relacionais e não relacionais, sistemas corporativos e serviços em nuvem;
• Apoiar a definição de padrões técnicos, boas práticas de desenvolvimento, versionamento, testes e documentação de pipelines de dados;
• Trabalhar em parceria com equipes de Analytics, BI, Data Science e áreas de negócio para entender requisitos e transformar necessidades em soluções de dados escaláveis;
• Investigar e solucionar incidentes, problemas de performance e falhas em processos de dados, garantindo a estabilidade e disponibilidade da plataforma.

Engenheiro de Dados SR – Databricks

Salesforce Developer

• Develop, customize and maintain Salesforce solutions with focus on Apex, Lightning Web Components (LWC), Flows, Triggers, APIs and integrations;
• Implement Artificial Intelligence solutions across the Salesforce ecosystem, including Agentforce, Einstein AI, Data Cloud and integrations with external AI models;
• Create agents, actions, skills, prompts, flows and intelligent automations applicable to clients' business processes;
• Develop reusable components to accelerate deliveries in Salesforce projects, ensuring quality, scalability and maintainability;
• Build integrations between Salesforce and external systems using REST/SOAP APIs, events, webhooks and middleware platforms;
• Participate in technical analysis of requirements, identifying impacts, dependencies, risks and the best implementation alternatives;
• Develop with agentic frameworks and generative AI;
• Create agentic flows focused on automating development, technical support, requirements analysis, code generation, code review and documentation;
• Implement integrations between AI agents and corporate systems, ensuring traceability, security and control of executed actions;
• Create and maintain reusable technical artifacts such as agent templates, structured prompts, actions, MCPs, skills and automation components;
• Manage versioning and Salesforce deployment processes using CI/CD best practices, Git, pipelines, sandboxes and release strategies;
• Develop and maintain unit tests, ensuring coverage, quality and safety of deliveries;
• Ensure adherence to Salesforce development best practices, security, data governance and architecture standards;
• Act as a technical reference for junior and mid-level developers, supporting questions, reviews and technical decisions;
• Translate business needs into viable technical solutions within the Salesforce and AI ecosystems;
• Stay up to date on Salesforce releases, Agentforce, Einstein, Data Cloud, generative AI, automation and trends in AI-driven development.

Senior Salesforce Developer – AI Developer

Data Analyst

• Analyze legacy systems, applications, and integrations to understand end-to-end data flows;
• Investigate APIs, DTOs, payloads, database structures, SQL queries, and source code;
• Identify, map, and document data flows, business rules, validations, and inter-system dependencies;
• Reconstruct and formalize Data Lineage, Data Flow, Data Dictionary, Data Models, and Audit Trail artifacts;
• Map technical structures to business semantic concepts, ensuring traceability of information;
• Perform reverse-engineering activities to understand legacy applications, databases, and integrations;
• Support data inventory, cataloging, and information governance initiatives;
• Use AI-assisted analysis tools to accelerate investigations, documentation, and technical analyses;
• Evaluate, validate, and augment results produced by AI tools, ensuring data quality and consistency;
• Produce structured technical documentation and governance artifacts aligned with corporate standards;
• Collaborate with Data Governance, Architecture, and Development teams, as well as business areas;
• Contribute to the continuous improvement of traceability, quality, and understanding of the organization's data assets.

Senior Data Analyst

• Allocate and post job openings on internal and external channels, ensuring alignment with the profiles requested by business areas;
• Support the management and compliance of job postings, ensuring adherence to internal policies, deadlines, and legal requirements throughout the recruitment funnel;
• Assist in distributing job openings among recruiters and teams, optimizing prioritization according to the urgency and criticality of each position;
• Manage LinkedIn activities, including active candidate sourcing and posting vacancies in available slots to optimize reach and lead quality;
• Develop employer branding initiatives, with posts on university career portals and LinkedIn/WhatsApp groups aimed at promoting opportunities;
• Maintain up-to-date job information in applicant tracking systems (ATS), ensuring reliable data for reports and area metrics;
• Support initial resume screening and the scheduling of recruitment stages when necessary.

Recruitment and Selection Operations Assistant – PwD

Analyst

• SCCM Management and Operations:
• - Administer and maintain the SCCM environment (clients, servers, and components);
• - Monitor communication between clients and the SCCM infrastructure;
• - Create, maintain, and optimize Collections.
• Software and Systems Management:
• - Create, deploy, and update applications and packages;
• - Remove obsolete software;
• - Approve/qualify software, drivers, and Windows builds;
• - Automate installations using Task Sequences.
• Updates and Patching:
• - Manage Patch Tuesday and security fixes;
• - Apply patches according to Information Security guidelines;
• - Update drivers (Lenovo, Dell, HP) and specific devices (Pinpad, SAT).
• System Imaging and Deployment:
• - Create and maintain operating system images;
• - Automate system deployments;
• - Update Windows builds (e.g., 22H2 on POS systems).
• Security and Compliance:
• - Implement and monitor security policies;
• - Create management scripts (e.g., BitLocker recovery key);
• - Ensure endpoint compliance.
• Monitoring and Reporting:
• - Develop inventory reports (hardware and software);
• - Create queries and dashboards;
• - Monitor Distribution Points.
• Automation and Continuous Improvement:
• - Create PowerShell scripts;
• - Automate operational routines;
• - Review and clean up obsolete packages and collections;
• - Structure recurring processes.
• Operational Activities (Examples):
• - Updating drivers and peripheral devices;
• - Creating action plans to repair SCCM clients;
• - Managing technical backlog;
• - Supporting Windows, macOS, and Android environments (reporting and visibility).

Windows Analyst – Specialist

Robotics

• Atuar na **manutenção e sustentação de robôs RPA**, tratando incidentes e requisições;
• Realizar **análise de problemas e troubleshooting** em automações existentes;
• Desenvolver e implementar **novas automações RPA**, desde o levantamento de requisitos até a entrega final;
• Conduzir o **entendimento de necessidades de negócio** junto às áreas demandantes;
• Participar da **melhoria contínua dos processos automatizados**;
• Garantir a documentação técnica e funcional das soluções desenvolvidas;
• Trabalhar em conjunto com times de operação e tecnologia para assegurar a estabilidade dos processos automatizados.

Analista de RPA, PL

Project Manager

• Realizar o entendimento das demandas e soluções junto aos stakeholders, garantindo clareza sobre objetivos, escopo, prioridades e expectativas do projeto;
• Apoiar a definição, criação e acompanhamento de cronogramas de projeto, monitorando prazos, dependências, riscos e entregas;
• Atuar na gestão de impedimentos, identificando obstáculos que possam bloquear ou impactar o progresso dos projetos de aquisição de dados / ingestão de dados;
• Acionar as áreas responsáveis para remoção de bloqueios, garantindo o fluxo contínuo das atividades e a evolução das entregas;
• Manter as ferramentas de gestão, especialmente Azure DevOps, atualizadas com informações reais sobre status, responsáveis, prazos e andamento das atividades;
• Realizar reuniões individuais para alinhamento de expectativas, esclarecimento de dúvidas e tratativas sobre possíveis divergências relacionadas a processos;
• Conduzir agendas de acompanhamento com times internos e stakeholders, garantindo comunicação clara, objetiva e orientada à resolução de problemas;
• Preparar e realizar reports executivos sobre o andamento dos projetos, destacando status, riscos, impedimentos, próximos passos e pontos de decisão;
• Apoiar a governança dos projetos, promovendo organização, rastreabilidade e visibilidade das iniciativas em andamento.

Analista de Projetos Sênior

• Plan, structure and execute testing strategies (functional, regression, integration, UAT, and others);
• Validate solutions implemented on Adobe platforms, such as:
• Adobe Experience Manager (AEM);
• Adobe Analytics;
• Adobe Campaign;
• Adobe Target.
• Create and maintain detailed test scenarios and test cases;
• Identify, document and track bugs and non-conformities;
• Collaborate with development, product and business teams;
• Ensure traceability between requirements and tests;
• Conduct manual testing and support the transition to test automation;
• Actively participate in agile ceremonies (daily stand-up, planning, review, retrospective);
• Propose continuous improvements to quality processes;
• Support the definition of quality metrics and KPIs;
• Mentor more junior team members.