AGGRANDIZE

Database Administrator

• Support development teams on database-related matters, including data modeling best practices, query writing, and optimization;
• Administration, maintenance and evolution of Oracle Database environments on on-premises and cloud infrastructure;
• Performance analysis, database tuning, and query optimization in high-volume, mission-critical environments;
• Implementation of high-availability, replication, backup, and disaster recovery solutions;
• Propose and implement data architecture improvements to enhance scalability, resilience, and operational efficiency;
• Continuous monitoring of database environments to ensure stability, capacity, and performance;
• Work closely with application teams for impact analysis, troubleshooting, and performance improvements;
• Create automations and scripts to eliminate repetitive operational tasks and increase environment reliability;
• Contribute to data security, availability, and integrity by defining access, auditing, and recovery procedures;
• Implement and maintain backup, restore, and disaster recovery strategies;
• Conduct proactive capacity and performance analyses;
• Evaluate new technologies, tools, and features within the Oracle ecosystem;
• Serve as a technical database reference, supporting other professionals and promoting best practices;
• Track Oracle technology roadmaps and market trends, contributing to innovation strategies;
• Participate in continuous improvement initiatives for the data platform and associated services;
• Data modeling and support in defining efficient structures for applications;
• Create, modify, and maintain database objects (tables, indexes, procedures, packages, etc.);
• Analyze information and support technical decision-making;
• Identify and fix database-related bugs;
• Perform code reviews focused on quality, performance, and data access best practices.

DBA – Senior Database Administrator

AI Engineer

• Design the multi-agent architecture, ensuring efficient orchestration among specialized agents throughout the customer journey;
• Create and implement specialized AI agents, defining roles, tools and rules for each stage of the e‑commerce experience;
• Develop and optimize prompts, policies and guardrails to ensure consistent, safe behavior aligned with brand guidelines;
• Define and operate evaluation metrics, create tests, and monitor performance, latency, cost and response quality;
• Ensure security, privacy and compliance (LGPD — Brazil's General Data Protection Law), preventing data leaks and protecting against prompt-injection attacks;
• Produce technical documentation and engineering standards, including agent contracts, prompt templates and operational guidelines;
• Assist in the evaluation and procurement of third-party tools focused on Generative AI.

Senior AI Engineer

DevOps Engineer

• Ensure reliability, availability, and performance of applications;
• Implement and advance observability practices (monitoring, metrics, logs, and tracing);
• Participate in incident response and conduct RCA (Root Cause Analysis);
• Automate operational processes and eliminate manual tasks;
• Implement and maintain CI/CD pipelines;
• Work with SRE practices (SLIs, SLOs, SLAs, and error budget management);
• Support the design of resilient and scalable architectures;
• Contribute to continuous improvements in security and governance.

Senior SRE Consultant

Consultant

• Build integrations and orchestrations using Oracle Integration Cloud (OIC);
• Implement error handling, retries, and ensure idempotency of integrations;
• Implement request/response mappings and pagination;
• Work with asynchronous patterns and callbacks;
• Apply network fundamentals and security best practices (least privilege, credential management, and logging);
• Develop and maintain APIs following design best practices;
• Translate business flows into technical integrations;
• Produce technical documentation and runbooks;
• Support cutover/Go-Live activities and facilitate integrations across environments;
• Manage dependencies and configurations.

Senior OIC Consultant

Data Engineer

• Work on automating and optimizing data flows and processes;
• Build technical solutions to ingest, process, and store data from multiple sources and formats (structured/unstructured data, files, XML or JSON, Parquet, APIs);
• Perform activities related to the analysis, development and maintenance of data processes and structures;
• Carry out data architecture, mapping, and modeling tasks;
• Maintain a corporate perspective aligned with market best practices, solution blueprints, and solution designs;
• Experience with Artificial Intelligence solutions and GCP is a plus.

Data Engineer, Mid-level

• Work on the automation and optimization of data flows and processes;
• Build technical solutions to ingest, process and store data from multiple sources and varied data formats (structured/unstructured data, files, XML/JSON, Parquet, APIs);
• Perform activities related to the analysis, development and maintenance of data processes and data structures;
• Provide Architecture, Mapping and Data Modeling perspectives;
• Maintain enterprise-level views aligned with market best practices, solution blueprints and solution designs;
• Advantageous: experience with Artificial Intelligence solutions and GCP.

Senior Data Engineer

• Manage configuration and automation of On-Premise and Cloud environments;
• Provide technical leadership for DevOps/SRE initiatives, ensuring reliability, scalability, and performance;
• Implement and maintain CI/CD pipelines;
• Develop scripts to automate operational processes (Ops);
• Operate and support distributed and containerized infrastructures;
• Implement and enhance monitoring and observability tools;
• Support development teams in adopting DevOps best practices;
• Work on projects managed with agile methodologies such as Scrum.

Senior DevOps/SRE Consultant

Analyst

• Administrar, monitorar e otimizar recursos na Oracle Cloud Infrastructure (OCI) (Compute, Storage, Networking/VCN, Load Balancers e IAM)
• Desenhar e implantar soluções escaláveis, resilientes e seguras, seguindo as melhores práticas do Oracle Cloud Well-Architected Framework
• Automatizar provisionamento e configuração de infraestrutura utilizando Infraestrutura como Código (Terraform e/ou Ansible)
• Configurar e manter interconexões Multi-Cloud (OCI ↔ Azure)
• Atuar no suporte à infraestrutura de bancos de dados (Oracle Database, Autonomous Database ou Exadata Cloud Service)
• Gerenciar logs, métricas e alarmes utilizando ferramentas nativas da OCI ou de mercado (Grafana, Prometheus, entre outras)
• Monitorar custos, propor otimizações e apoiar estratégias de FinOps

Analista Cloud Sênior

• Workload Management: Plan, implement, and monitor automated processes using CA Workload Automation (CAWA);
• Performance Analysis: Perform ongoing analyses to identify opportunities to improve task automation;
• Technical Support: Provide technical support and guidance to the team for issues related to CA Workload Automation;
• Cross-Department Collaboration: Work closely with other teams to ensure effective systems and process integration;
• Documentation: Create and maintain technical documentation for automation processes and procedures.

Senior Automation Analyst

Data Scientist

• Design the solution’s multi-agent architecture, ensuring efficient orchestration among specialized agents across the customer journey;
• Create and implement specialized AI agents, defining roles, tools and rules for each stage of the e‑commerce process;
• Develop and optimize prompts, policies and guardrails to ensure consistent, safe behavior aligned with the brand’s guidelines;
• Define and operate evaluation metrics, create tests and monitor performance, latency, cost and response quality;
• Ensure security, privacy and compliance (LGPD), preventing data leaks and protecting against prompt-based attacks;
• Produce technical documentation and engineering standards, including agent contracts, prompt templates and operational guidelines.

Senior Data Scientist

Sales Engineer

• Define and govern the enterprise architecture for AI solutions integrated into the systems and data ecosystem;
• Ensure security, scalability, interoperability, compliance, and value realization;
• Act as a bridge between business, engineering, data, security, and platform teams, guiding end-to-end architectural standards and decisions;
• Design the solution's multi-agent architecture, ensuring efficient orchestration among specialized agents across the customer journey;
• Orchestrate the work of specialized AI agents, defining roles, tools, and rules for each stage of the e-commerce process;
• Define and structure prompts, policies, and guardrails to ensure consistent, safe behavior aligned with brand guidelines;
• Ensure security, privacy, and regulatory compliance (LGPD), preventing data leaks and protecting against prompt-based attacks;
• Create technical documentation and engineering standards, including agent contracts, prompt templates, and operational guidelines.

Senior Solutions Architect

Software Engineer

• Act as a technical reference for development using Blue Prism;
• Lead the full development lifecycle including process analysis and understanding, solution design, development, testing, deployment, support, and continuous improvement;
• Ensure quality, stability, performance, and security of solutions;
• Define and enforce development best practices;
• Participate in analysis and resolution of critical incidents;
• Participate in change requests (GMUDs), war rooms, and root cause analyses (RCA);
• Support knowledge transfer processes (shadowing / handover);
• Mentor and support less experienced developers;
• Work with technical and business areas to align requirements;
• Produce and maintain technical documentation.

Senior Blue Prism Developer

Business Intelligence Developer

• Gather requirements from business areas;
• Model data and build reports and dashboards in Power BI;
• Analyze, develop and maintain data processes and structures;
• Work on data architecture, mapping and modeling;
• Create corporate views aligned with market best practices and solution blueprints;
• Support the design of analytical solutions;
• Advantage: experience with Artificial Intelligence solutions and GCP.

Mid-level BI Analyst

Project Manager

• What we expect from you - Hard Skills:
• Proficiency in project management tools;
• Experience with OKRs and metrics-driven management;
• Results-oriented mindset, focused on performance and excellence;
• Excellent communication and influencing skills;
• Ability to build strong, collaborative relationships;
• Proactivity, organization and strategic vision;
• Previous experience leading complex projects.
• What we expect from you - Soft Skills:
• Adaptability;
• Collaboration;
• Ownership mindset;
• Customer focus.