Software Engineer

Tyler Technologies

United States

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

startup.jobs

Tech stack

JavaScript (Programming Language) .NET Framework Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Amazon S3 Data Analysis Automation of Tests C Sharp (Programming Language) Cloud Computing Code Review

+27 more

Data Transformation Relational Databases DevOps Federal Information Processing Standards (FIPS) Github Identity and Access Management JSON Cloud Services Software Engineering Software Requirements Analysis SQL Databases Systems Integration TypeScript Extensible Markup Language (XML) Data Logging Data Processing Delivery Pipeline Large Language Models AI Platforms AngularJS Infrastructure Automation Frameworks Playwright Functional Programming Cloudwatch Amazon Simple Queue Service (SQS) Code Restructuring Docker

Job description

Collaborate with product managers, compliance specialists, quality assurance engineers, and software engineers to deliver state reporting capabilities.
Analyze state-provided technical specifications and translate them into software requirements, data mappings, validation rules, and test scenarios.
Design, develop, test, and maintain applications and services using C# and modern .NET.
Develop workflows that extract records management data, apply state-specific validation and transformation rules, and generate compliant IBR submissions.
Build and maintain integrations that transmit reports using the formats, protocols, and submission methods required by each state.
Diagnose data, validation, and submission failures across complex reporting workflows.
Modernize existing .NET applications while preserving regulatory behavior, customer compatibility, security, and operational stability.
Create comprehensive automated tests that verify reporting rules, data transformations, state-specific variations, and compatibility with supported product releases.
Write maintainable code and contribute to automated build, test, and deployment pipelines.
Participate in technical design discussions, code reviews, estimation, planning, and architectural decisions.
Use AI-assisted development tools responsibly to improve implementation, testing, documentation, troubleshooting, and analysis of technical specifications.
Help develop repeatable AI-enabled workflows that reduce the effort required to interpret specifications, identify changes, create requirements, develop test cases, and investigate data discrepancies.
Validate AI-generated output for accuracy, security, maintainability, and compliance before incorporating it into engineering deliverables.
Support production systems through effective logging, monitoring, diagnostics, incident response, and root-cause analysis.
Share technical knowledge and contribute to the continued improvement of team practices and engineering standards.

Requirements

Two or more years of professional software development experience.
Strong proficiency in C# and modern .NET application development.
Experience designing and maintaining data-processing applications, background services, APIs, or system integrations.
Experience working with relational databases and writing SQL for data analysis, application development, and troubleshooting.
Experience writing automated unit, integration, and component tests.
Ability to interpret detailed technical documentation and translate it into reliable software behavior.
Experience maintaining or modernizing established applications without introducing regressions or breaking customer compatibility.
Experience developing, deploying, or supporting applications in AWS or a comparable cloud environment.
Proficiency with GitHub and experience using GitHub Actions or comparable CI/CD tooling.
Experience applying secure development practices to application code, integrations, cloud resources, and sensitive data.
Experience using AI-assisted development tools for practical engineering work such as implementation, refactoring, testing, documentation, requirements analysis, or troubleshooting.
Ability to critically evaluate AI-generated output rather than treating it as inherently correct.
Strong analytical, problem-solving, collaboration, and written communication skills.
Must successfully pass a CJIS-compliant fingerprint-based background check., * Experience developing software for public safety, criminal justice, government reporting, or another regulated domain.
Familiarity with cloud services and technologies such as Lambda, S3, SQS, CloudWatch, IAM, and Infrastructure as Code.
Experience processing structured data formats such as XML, JSON, fixed-width files, or delimited files.
Experience building configurable rules, validation engines, or state-specific product variations.
Experience with Angular, TypeScript, Jest, or Playwright.
Experience incorporating large language models or AI services into development utilities, internal tools, or engineering workflows.
Familiarity with AI workflow concepts such as structured inputs and outputs, context management, evaluation, guardrails, and human review.
Experience with Docker, Dev Containers, observability platforms, DevOps practices, and Agile software development.