Addvisor Group

• Development on the MuleSoft Anypoint Platform; • Design and development in Mule with on-premises and CloudHub deployments; • Design and develop APIs and integration flows; • Backend integrations; • Effective team collaboration and communication; • Application performance tuning.

• Solid understanding of testing fundamentals (techniques and strategies); • Skilled in defining quality entry and exit criteria (DoR/DoD); • Proficient in risk-based testing strategy; • Knowledgeable about different types and levels of testing; • Requirements analysis: Ability to interpret and validate software requirement specifications contained in a user story; • Experienced in using BDD to create and update test cases, both functional and non-functional; • Manual testing of REST/SOAP APIs using Postman; • Manual testing of apps; • Experience with issue/tracking platforms (Jira, Azure DevOps, Trello, Mantis); • Agile methodologies – Scrum, Kanban; • Experience preparing status reports.

• Execute and follow established Standard Operating Procedures (SOPs) for GenAI and agent-based solutions in production • Monitor platform health, model performance, and inference pipelines • Ensure stability and availability of AI services across all environments • Investigate and resolve incidents by analyzing logs, traces, and metrics • Conduct root cause analysis (RCA) and document findings • Use observability tools (logs, metrics, tracing) to detect anomalies and performance issues • Contribute to the evolution of Standard Operating Procedures (SOPs) and runbooks • Support runtime operations of LLM-based applications and agent-driven workflows • Monitor inference performance (latency, throughput, cost)

• Participate in the development and evolution of digital solutions, applying software architecture and engineering best practices to deliver clean, testable, and sustainable code • Work on systems with different characteristics (monoliths and/or distributed), always focused on delivering business value and maintaining a sustainable development pace • Contribute to projects that use agile methodologies, continuous integration, and engineering practices such as code review, pair programming, and mob programming, ensuring quality and continuous learning • Take part in the Augmented Pull Request ritual, reviewing not only syntax but intent: adherence to acceptance criteria, technical decisions, and functional impact • Contribute to automated testing, observability, and practices that reduce rework and technical debt • Use Generative AI as a productivity tool (code generation, tests, documentation, and analysis), maintaining a critical stance and technically validating results • Support Spec‑Driven Development practices, helping to turn requirements into clear specifications and context artifacts (e.g., /specify, /plan) that guide human work and AI usage • Work in collaborative, value-driven teams, sharing learnings and being mentored by more experienced professionals

• Backend development using .NET / .NET Core • Design and consumption of REST APIs • System integrations and data modeling • Frontend development using React, JavaScript/TypeScript • Building responsive, component-based interfaces • Implementation of distributed architectures and microservices • Collaboration in agile practices and CI/CD

• IT Service and Operations Management • Analysis and management of SLAs and KPIs • Implementation of ITIL and AMS • Resolution of IT incidents and problems • Continuous process improvement • Client and stakeholder relationship management • Management of IT teams and vendors

• Consulting and implementation in SAP TM • Ongoing support and improvements to the SAP system • Collaboration with business users to understand requirements

• Senior PMO Consultant at a fully remote company • Management of portfolios, programs, and projects • Structuring and maturing the PMO • Governance, KPIs, and executive reporting • Risk, cost, and schedule management • Agile and traditional methodologies (Scrum, Kanban, PMBOK)

• Consulting on the implementation and configuration of PP/DS in S/4HANA • Real-time interactive planning (online) • Detailed sequencing with finite capacity • Configuration of heuristics and planning strategies • Use of MRP Live

• Design and implement data validation pipelines and model evaluation workflows in a cloud environment (AWS). • Integrate data and evaluation metrics into an automated, auditable pipeline. • Modularize the pipeline to facilitate reuse, testing, and maintenance. • Collaborate with Data Science, Data Engineering, and Product teams. • Ensure best practices for versioning, logging, monitoring, and automated testing. • Propose continuous improvements to data architecture and validation processes.