• Design and develop robust, scalable data models and database architectures to house and analyze pipeline integrity datasets, including ILI, PODS, GIS (APDM/UPDM), corrosion & CP data, and field NDE data. • Establish and enforce data standards, processes, and procedures across teams and products. • Drive the evolution of the CIM Data Model to meet current and future customer requirements. • Implement enhancements to the existing data management platform, supporting new features from design through QA sign-off. • Write high-quality stored procedures, queries, and database migration scripts with a focus on performance and maintainability. • Diagnose and resolve database performance bottlenecks; partner with software engineers to address data-related issues and system design challenges. • Adopt and champion best practices in testing, data integrity validation, documentation, and agile development. • Maintain a reusable library of data model documents, templates, and technical guides. • Work directly with customers and subject matter experts to understand existing pipeline integrity data systems, pain points, and integration requirements. • Analyze customer GIS and third-party systems to plan and execute integrations with the Irth Solutions platform. • Partner with product managers, business analysts, and customer account executives during onboarding and support cases involving customer data. • Provide technical guidance to junior engineers and contribute to a culture of continuous improvement.

• Design, build, and ship features across our Revit add-ins and Revit-integrated desktop applications that connect our customers' Autodesk design environment to the Stratus platform. • Use AI-assisted development tooling (Claude Code, Cursor, Copilot, etc.) as a first-class part of the dev loop — writing tests for AI-generated changes and exercising clear judgment about when AI output is ready to ship. • Write production C#/.NET code against the Revit API: custom commands, panels, external events, document and transaction management, and integration with Autodesk model data. • Own and improve the publishing add-in that exports data from Revit into the Stratus Core application — including data mapping, fidelity, validation, and the error handling that keeps exports trustworthy. • Interface with the Stratus open API and understand our data export pipeline — including how data flows through our Azure ServiceBus and other backend services — to build and troubleshoot the integrations that move data out of Revit. • Solve the hard problems of desktop add-in development — Revit version compatibility, performance inside large models, the API threading model, and graceful degradation when the host environment misbehaves. • Build and manage the deployment of these desktop applications — installers (MSIs), versioning, and update mechanisms across customer environments. • Investigate and fix customer-reported bugs across the desktop applications, including the failure modes specific to Revit add-ins. • Collaborate with product leadership, engineering teams, and customer-facing teams to scope, design, and ship — grounding technical decisions in real design and fabrication workflows. • Implement and maintain automated testing for the desktop applications, and advocate for incremental, reliable delivery. • Stay current on the Autodesk Revit API and the broader Autodesk Platform Services ecosystem, and bring that judgment to how we build.

• Will work in the Front Trade System for credit (FTS Credit) • Responsible for ensuring system stability while modernizing the technology • Will be responsible for support, maintenance, developing new features and migrating on-premises systems to AWS Cloud.

• Desenvolver e manter microsserviços em Java, seguindo boas práticas de arquitetura e design de software • Implementar e integrar soluções de mensageria (assíncrona e orientada a eventos) • Projetar e consumir APIs REST e eventos de domínio • Atuar na especificação técnica das soluções, contribuindo com definições arquiteturais • Implementar práticas de observabilidade (logs, métricas e tracing) • Identificar e corrigir problemas de performance, concorrência e escalabilidade • Trabalhar de forma colaborativa com times de produto, QA e infraestrutura • Apoiar tecnicamente desenvolvedores menos experientes • Garantir aderência a padrões de segurança, versionamento e governança de serviços