Assurity

Full-stack Engineer

• Own the design and delivery of an assigned application, platform, or system, including AI and automation solutions and integrations with core systems
• Define system components, design patterns, performance, reliability, implementation approach, service contracts, and data ownership
• Plan technical direction and near-term roadmaps; document design decisions and implementation guidance
• Lead solution design, reviews, and troubleshooting throughout delivery
• Run small-to-mid initiatives or mid-to-large AI/automation solutions from intake through specification, design, build, UAT, and rollout
• Write stories and acceptance criteria and confirm completed work directly with business users
• Direct AI agents to build and harden features, fixes, and solutions in the codebase; write code by hand when appropriate
• Integrate SQL Server data sources, event backbone, enterprise services, back-end services, and databases
• Maintain, expand, and scale enterprise-level software
• Lead verification of AI-generated changes and review engineers’ code for correctness, security, performance, and maintainability
• Write unit and integration tests and evaluate, debug, and review agent-produced changes before release
• Implement human review, audit, access, egress controls, and agent approval boundaries
• Maintain software documentation, repository instructions, reusable prompts, and validation methods
• Promote changes through dev, test, stage, and production CI/CD pipelines
• Design monitoring, drift signals, guardrails, and alerting
• Participate in on-call shifts, troubleshoot and resolve production issues, lead incident follow-up, and respond to user requests
• Coach at least two teammates in AI fluency and review their highest-risk changes
• Design reusable agent workflows and teach effective delegation
• Share system design context and patterns and turn proven practices into shared team practices
• Collaborate with engineers, analysts, product owners, project managers, and operations
• Estimate and log time daily, provide status updates, demonstrate project functionality, and maintain skills through training and study

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Software Engineer III

• 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

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Senior Software Engineer

Business Analyst

• Own the relationship between a business area and engineers, and the value and adoption of a portfolio of AI and automation solutions
• Own outcomes, priorities, intake, backlog, and business relationships for an assigned business area and several solutions
• Lead large and multi-system initiatives, managing scope, cost, and schedule
• Produce and maintain implementable, AI-ready specifications with decision logic, data definitions, exception handling, and human-in-the-loop review steps
• Document requirements and propose system, AI, or automation solutions
• Compare AI, conventional automation, and process change against quality, cost, risk, and user needs
• Write acceptance criteria and confirm completed work directly with users
• Build working proofs of concept independently with AI agents or n8n
• Direct approved AI agents on requirements, decision tables, stories, data mappings, test plans, and validation queries
• Identify automation and AI candidates and recommend them with success measures
• Establish specifications, templates, and context practices that improve team work
• Create and execute test plans, including automated regression tests
• Test RESTful APIs, Windows services, and database integrations
• Analyze outcomes, resolve differences, and review test results
• Lead UAT for large and cross-system work
• Carry solutions through development, test, stage, and production
• Establish verification strategies and review practices
• Lead small to mid-sized solution teams and maintain solution integrity
• Assist and coach teammates and business users in the accelerated delivery loop and in directing and verifying agent work
• Design and conduct end-user training plans
• Estimate and log time daily, report project status, present demonstrations, and participate in meetings
• Define success measures, monitor outcomes with engineers, and report results honestly
• Serve as an escalation point for production issues and support systems, including on-call rotation
• Incorporate industry developments, including AI capabilities, into future company systems
• Maintain skills through ongoing training and study
• Participate in an accelerated, remote-team delivery model from proof of concept through production

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Business Systems Analyst III

• Lead discovery and own end-to-end business and project analysis
• Observe business users’ work, frame problems, document requirements, and propose system, AI, or automation solutions
• Run reactions sessions on working proofs of concept and iterate based on user feedback
• Create flow charts, decision tables, data mappings, AI-ready specifications, and documentation
• Write acceptance criteria and confirm completed work directly with business users
• Manage scope, cost, and schedules for small to mid-size projects
• Direct approved AI agents to generate and maintain requirements, stories, acceptance criteria, data mappings, test plans, and validation queries
• Iterate prompts and knowledge sources and make proof-of-concept changes with AI agents or n8n
• Validate AI-produced analysis against business needs and with business users
• Recommend AI solutions, document material AI contributions, and follow approved tool and data rules
• Create test cases and evaluation cases, including SQL database queries
• Develop and execute test plans, automated regression tests, and tests for RESTful APIs, Windows services, and database integrations
• Review test results and resolve discrepancies
• Coordinate and lead user acceptance testing and capture acceptance evidence
• Report project status, estimate and log time daily, demonstrate functionality, and measure effort, quality, and adoption
• Provide system support and troubleshooting, including rotating on-call coverage
• Contribute reusable templates, prompts, context files, and support Business Systems Analyst I staff
• Help the team adopt and refine the accelerated delivery model
• Incorporate industry and AI developments into future company systems and maintain professional skills
• Respond to production alerts and take immediate containment actions during on-call rotations

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Business Systems Analyst II

• Deliver working software and moderate AI and automation solutions from proof of concept through tested, observable production service
• Own stories and features end to end without close direction
• Write stories and acceptance criteria and confirm them directly with business users
• Direct AI agents to build and harden features, fixes, proofs of concept, services, consoles, LLM-integrated workflows, and n8n flows
• Write code by hand when required by the task, platform, or quality needs
• Design and build components, integrations, and business logic
• Convert functional specifications into final code solutions
• Implement retrieval, tool calling, and MCP integrations with model APIs such as Anthropic and Azure OpenAI
• Integrate data from back-end services and databases and scale enterprise-level software
• Write unit and integration tests and evaluations
• Verify agent-produced changes through testing, debugging, and risk-appropriate review
• Build logging, error handling, and rollback into solutions
• Create and maintain software documentation, repository instructions, reusable prompts, and validation methods
• Promote changes through CI/CD pipelines across development, test, staging, and production
• Monitor shipped solutions in production
• Take on-call shifts, resolve production alerts and incidents, and handle user questions for owned systems
• Apply human review, access control, audit, communication egress, and simulation patterns
• Coordinate with business systems analysts and senior engineers
• Pair with analysts on proofs of concept in user sessions and review peer changes
• Estimate and log time daily and provide project status information to management and end users
• Present demonstrations of project functionality
• Share proven agent-directed delivery patterns across the combined team
• Maintain skills through ongoing training and study and evaluate emerging AI trends and capabilities

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Software Engineer II

• Own outcomes, priorities, intake, backlog, and business relationships for several business areas and solutions
• Lead discovery, surface and size business needs, and settle scope and tradeoffs with sponsors
• Lead the department’s largest and most complex initiatives across multiple business areas
• Analyze technical difficulties, manage scope, cost, and schedule, and coordinate solution delivery across teams
• Partner with software engineers on overlapping work
• Produce and review implementable, AI-ready specifications with decision logic, data definitions, exception handling, human-in-the-loop steps, flow charts, decision tables, data mappings, and acceptance criteria
• Own and maintain analysis templates, specification standards, validation checklists, reusable prompts, instructions, and shared context
• Identify AI-assisted analysis failure modes and improve controls, guidance, and safe practices
• Direct AI agents to produce proofs of concept including business rules, workflow steps, portal pages, n8n flows, and letters
• Pair with architects on code-level proofs of concept, run reaction sessions, and iterate based on feedback
• Generate and maintain business requirements, decision tables, acceptance criteria, stories, data mappings, test plans, and validation queries
• Validate AI-produced analysis with business needs and business users
• Compare AI, conventional automation, and process change against quality, cost, risk, and user needs
• Develop and oversee test plans for RESTful APIs, Windows services, and database integrations
• Analyze test outcomes, resolve differences, and review test results
• Lead user acceptance testing and carry solutions through development, test, stage, and production gates
• Establish verification strategies, review practices, evaluation cases, human review steps, and controls
• Mentor analysts, coach engineers and business users, coach two teammates or an equivalent group, and lead solution teams
• Serve as an escalation point for production issues and participate in on-call support
• Estimate and log time daily, provide project status, respond to inquiries, demonstrate functionality, and participate in meetings
• Shape priorities and advise managers and business leaders on scope, sequencing, and tradeoffs
• Track effort, quality, straight-through rates, review-queue load, adoption, and cost; report results honestly
• Incorporate industry and AI developments into future company systems
• Maintain skills through ongoing training and study
• Take immediate containing actions during on-call incidents, such as rolling back releases, pausing communications, parking workflows, or disabling features
• Perform occasional scheduled evening or weekend work for deploys, cutovers, migrations, and go-lives

Explore Senior Business Systems Analyst at Assurity. Review requirements and application details.

Open roles

Software Engineer III

Senior Software Engineer

Business Systems Analyst III

Business Systems Analyst II

Software Engineer II

Senior Business Systems Analyst