Software Development Engineer - C#/.NET - Property Tax Team

Accountabilities:: Lead the design, development, and implementation of scalable, secure, and resilient backend services and APIs supporting enterprise property tax workflows. Build AI-powered services, orchestration pipelines, and intelligent data extraction capabilities to automate property tax processing and compliance operations. Modernize complex enterprise workflows by replacing manual data ingestion, rules-based processing, and fragmented integrations with reliable, automated services. Design and implement the foundational architecture for agentic property tax workflows, including system decomposition, service boundaries, orchestration mechanisms, and production deployment strategies. Deliver production-ready AI-enabled capabilities, such as automated document classification, intelligent information extraction, and automated validation of tax return preparation. Integrate AI-assisted development tools into coding, testing, refactoring, documentation, and continuous integration processes to improve engineering productivity and delivery efficiency. Strengthen continuous integration and continuous delivery (CI/CD) pipelines, automated testing frameworks, monitoring, observability, and production reliability. Establish and promote automated testing standards, targeting more than 80% unit and integration test coverage for new services where technically appropriate. Conduct code reviews and evaluate technical designs to improve maintainability, security, scalability, reliability, and long-term platform health. Define reusable architectural patterns, API contracts, and responsible AI guardrails, ensuring that AI-generated outputs are evaluated for correctness, security, maintainability, and customer impact. Collaborate with product managers, software architects, and cross-functional teams to align technical solutions with business objectives, customer needs, and measurable performance outcomes. Mentor and coach engineers, sharing best practices in distributed systems architecture, code quality, AI-assisted development, and responsible AI implementation. Identify opportunities to apply AI to business challenges, improve development cycle times, strengthen quality assurance, and reduce operational risks. Establish measurable engineering improvements, including faster delivery from task creation to production deployment, greater workflow automation, and improved team performance. Requirements: Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical field. At least 8 years of professional software engineering experience designing, developing, deploying, and maintaining distributed enterprise platforms. Strong hands-on experience with C# and .NET for backend application and service development. Proven experience designing and building resilient REST or GraphQL APIs, asynchronous processing systems, and microservices architectures. Strong knowledge of relational databases, particularly SQL Server or PostgreSQL, including data modeling and the management of complex transactional systems. Experience working with Amazon Web Services (AWS), containerized applications, and infrastructure-as-code practices. Solid understanding of CI/CD pipelines, automated testing frameworks, software delivery practices, and production monitoring. Demonstrated experience using AI-assisted engineering tools or developing AI-enabled services that improve productivity, software quality, operational efficiency, or customer outcomes. Ability to identify practical AI use cases and integrate AI capabilities into production systems with appropriate security controls, evaluation methods, responsible-use principles, and human oversight where necessary. Strong understanding of software architecture, system design, distributed systems, API contracts, and engineering best practices for scalable enterprise applications. Proven ability to make sound technical decisions, balance trade-offs, simplify complex problems, and translate business requirements into reliable engineering solutions. Excellent written and verbal English communication skills, with the ability to collaborate effectively across geographically distributed teams. Strong leadership and mentoring capabilities, including the ability to provide constructive feedback, share knowledge, and raise engineering standards without relying on formal management authority. A proactive, accountable, and results-oriented mindset, with a commitment to continuous improvement, technical excellence, and measurable business impact. Curiosity and willingness to continuously learn about emerging AI technologies, evaluate new tools critically, and share effective practices with colleagues. Application requirement: CVs must be submitted in English. The position is also open to people with disabilities (PcD), in accordance with applicable Brazilian legislation. Benefits: Competitive compensation: A comprehensive compensation package, with the specific salary range to be confirmed during the recruitment process. Paid time off: Paid leave to support work-life balance and personal well-being. Paid parental leave: Support for employees and their families during important life events. Performance bonuses: Bonus opportunities for eligible employees. Health and wellness coverage: Benefits generally include private medical insurance, life insurance, and disability insurance, subject to location and eligibility. Remote work: A remote position based in Brazil, offering flexibility without the need for daily office attendance. Professional growth: Opportunities to expand expertise in enterprise software engineering, distributed systems, cloud infrastructure, and AI-enabled product development. Collaborative international environment: Work alongside globally distributed engineering and product teams on complex technical challenges. Technical leadership opportunities: Influence architectural decisions, establish engineering standards, and mentor other developers. AI-driven innovation: Contribute to an environment where AI is integrated into product development, engineering workflows, and business problem-solving. Inclusive workplace culture: Join an organization that values diversity, equity, inclusion, and different perspectives, supported by employee resource groups and leadership engagement. Meaningful business impact: Help modernize tax compliance technology and build scalable solutions that support customers and complex business transactions.