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

Jobgether; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Paid time off

Paid parental leave

Performance bonuses

Private medical insurance

Life insurance

Disability insurance

Remote work (Brazil-based)

Professional growth

Collaborative international team

Technical leadership opportunities

AI-driven innovation

Inclusive workplace culture

Meaningful business impact

Job summary

Jobgether is seeking an experienced backend engineer to lead the development of scalable, secure services and AI-enabled capabilities for enterprise property tax workflows. You will architect and implement REST/GraphQL APIs, mentor teams, and strengthen CI/CD and testing practices.

The role emphasizes AI integration, data extraction, and automated validation within complex tax processing systems, with remote work options and global collaboration.

Qualifications

• 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 development.
• Proven experience building resilient REST or GraphQL APIs and microservices.
• Experience with AWS, containers, and infrastructure-as-code.
• Fluent English communication; able to collaborate across distributed teams.
• Awareness of AI-enabled development and responsible AI practices.

Responsibilities

• Lead design and implementation of scalable backend services and APIs for enterprise property tax workflows.
• Build AI-powered services to automate property tax processing and compliance.
• Modernize workflows by automating data ingestion and integrations.
• Define architecture for agentic property tax workflows and deployment strategies.
• Deliver production-ready AI-enabled capabilities like document classification and data extraction.
• Improve CI/CD pipelines, testing, monitoring, and reliability.
• Establish automated testing standards with high coverage.
• Perform code reviews and evaluate designs for maintainability and security.
• Mentor engineers and share best practices in distributed systems and AI.
• Identify opportunities to apply AI to business challenges.

Skills

C#/.NET

REST APIs

GraphQL

Microservices

AWS

CI/CD

AI tooling

Distributed systems

SQL/DBs

English comms

Education

Bachelor’s degree in CS/Engineering

Tools

SQL Server

PostgreSQL

Docker

Kubernetes

Terraform

CI/CD tooling

Job description

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.