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Assurity

Senior Software Engineer

Assurity

. Own the technical health of multiple applications, platforms, and systems .

Posted 11/7/2026full-timeLincoln • Nebraska • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing the technical health of applications and systems, leading large projects from inception to rollout, and integrating AI capabilities into workflows. Proficient in software development, database management, and implementing robust testing and verification strategies.

Highest-signal resume keywords
Technical Health ManagementAI Integration and Workflow DesignProject Leadership and Scope ManagementRelational Database ExperienceUnit and Integration Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DevelopmentObject-Oriented ProgrammingWeb Application DevelopmentRelational Database SystemsHTML/CSS Interface BuildingVue.jsAngularJavaScriptC#Python
Soft Skills
Problem DiagnosisCreative Problem-SolvingProfessional CommunicationOrganizational SkillsTeam Collaboration
Tools & Technologies
Visual StudioAzure DevOpsGitHub ActionsGitLinuxCI/CD Pipelines
Industry Keywords
Agile ProcessesProduction MonitoringTechnical Debt ManagementIncident ResolutionSoftware Documentation

Tech Stack

Tools & technologies
AngularAzureEntity FrameworkJavaScriptLinuxPostgresPythonSQLTypeScriptVue.js.NET

About the role

Key responsibilities & impact
  • Own the technical health of multiple applications, platforms, and systems
  • Serve as design authority and guide system design decisions
  • Plan technical direction, manage technical debt, performance, reliability, security, and maintainability
  • Document design decisions and implementation guidance
  • Lead large projects independently from intake through specification, design, build, UAT, and rollout
  • Manage project scope, cost, and schedule and raise tradeoffs early
  • Write stories and acceptance criteria and confirm completed work with business users and stakeholders
  • Direct AI agents to build and harden complex services, workflows, and integrations
  • Write code manually when required by the task, platform, or quality needs
  • Integrate data from back-end services and databases
  • Maintain, expand, and scale enterprise-level software
  • Set standards for testing, verification, evaluations, guardrails, observability, security, performance, cost, and CI/CD promotion
  • Own shared team context, repository instruction files, skills, review checklists, specifications, templates, and context practices
  • Design reusable agent workflows and lead orchestration where valuable
  • Establish verification strategies and review practices for AI-generated changes
  • Write unit and integration tests and evaluations
  • Debug and review changes before release
  • Create and maintain software documentation
  • Promote changes through dev, test, stage, and production CI/CD pipelines
  • Participate in on-call shifts, monitor systems, improve alerting and recovery, and lead complex production incident resolution
  • Follow up on incident root causes
  • Mentor and coach engineers across levels and IT
  • Assist at least two teammates in AI fluency
  • Partner with Software Solution Architects on system and platform patterns
  • Collaborate with engineers, business analysts, product owners, project managers, operations, and business leaders
  • Estimate and log time daily
  • Provide project status updates to management and end users
  • Demonstrate project functionality
  • Maintain skills through training and study and evaluate emerging technologies and AI capabilities

Requirements

What you’ll need
  • Typically 6 or more years of professional software development experience
  • Experience leading an initiative end to end and serving as the recognized go-to engineer for a system
  • Sustained portfolio of systems shipped iteratively with AI agents, including reusable workflows, specifications, and verification practices
  • Experience owning the design and technical health of production systems, including design patterns, performance, reliability, security, and production monitoring
  • Experience leading large projects end to end, including planning scope, cost, and schedule
  • Deep experience with relational database systems such as SQL Server or PostgreSQL
  • Experience with object-oriented programming and web application development
  • Experience with document or graph data
  • Experience building interfaces using modern HTML/CSS
  • Experience with more than one of Vue, Angular, JavaScript, C#, TypeScript, Python, .NET MVC, Entity Framework, or REST APIs
  • Ability to design and implement unit and integration tests
  • Experience troubleshooting and resolving complex production issues
  • Experience with modern IDEs, preferably Visual Studio
  • Experience with modern source control and CI/CD release pipelines, preferably Azure DevOps, GitHub Actions, and Git
  • Experience with Linux and container operations, Agile processes, and modern data formats, preferably JSON and XML
  • Experience mentoring and coaching engineers across experience levels
  • Ability to make technical decisions quickly and explain tradeoffs
  • Strong problem diagnosis, troubleshooting, and creative problem-solving skills
  • Professional written and verbal communication with technical and business partners and leaders
  • Organizational skills to manage multiple tasks within timeline and budget constraints
  • Business acumen
  • Ability to thrive in a fast-paced remote team environment and learn rapidly
  • Talent required in values, work intensity, achiever, positivity, resourcefulness, command, relationship-extension, and exactness
  • Bachelor's degree in a related field or equivalent experience
  • On-call availability, including nights and weekends, after training
  • Consistent and reliable attendance
  • Willingness to work more than 40 hours a week when necessary

Benefits

Comp & perks
  • Ample opportunities for growth
  • Thriving culture
  • Ongoing training and study, including AI fluency courses
  • Occasional scheduled evening or weekend work for production deploys, cutovers, data migrations, and go-lives, with advance notice