Software Engineer II

Assurity is looking for enthusiastic, driven and collaborative people to join our team. We’re a company of vibrant and passionate people who work every day to advance our mission of helping people through difficult times – and who truly want to make a difference. As a Certified B Corporation, we have a verified commitment to our people, community and planet, and we work every day to make the world a better place.

Ample opportunities for growth, a thriving culture and coworkers who care as much as you do are just the beginning. Come work with purpose. Learn more: As a Software Engineer II, you’ll deliver working software and moderate AI and automation solutions that move the business forward, from a proof of concept built in hours to a tested, observable production service, owning stories and features end to end without close direction. You write your own stories and acceptance criteria, work directly with business users, and direct AI agents on substantial development and testing work while verifying results. Assurity’s technology teams use approved AI tools routinely for suitable work and own the quality, security, and correctness of the results. You’ll bring professional judgment, which includes choosing when to use AI, checking its output, and using another method when appropriate. ESSENTIAL FUNCTIONS

40% Deliver solutions end to end, which includes:

Directing AI agents to build and harden features, fixes, and proofs of concept in the real codebase, from a working version in front of users through production, including services, consoles, LLM-integrated workflows, and n8n flows, and writing code by hand where the task, platform, or quality calls for it; Designing and building components, integrations, and business logic, and converting functional specifications into final code solutions; Implementing retrieval, tool calling, and MCP integrations with model APIs such as Anthropic and Azure OpenAI; and Integrating data from back-end services and databases, and maintaining, expanding, and scaling enterprise-level software. 20% Own quality, which includes:

Writing unit and integration tests and evaluations, and verifying agent-produced changes with tests, debugging, and review appropriate to their risk before release; Building logging, error handling, and rollback into own solutions; and Creating and maintaining software documentation, along with the repository instructions, reusable prompts, and validation methods that help teammates and agents do better work. 15% Operate what they build, which includes:

Promoting changes through CI/CD release pipelines (dev, test, stage, and production) and following them through to production and real use, monitoring what they ship; and Taking on-call shifts, resolving production alerts and incidents, and handling user questions and requests for own systems in a timely manner. 10% Own the story, which includes:

Writing own stories and acceptance criteria and confirming them directly with business users, including in working sessions; and Confirming completed work with users through acceptance testing and rollout. 10% Build controls in, which includes:

Applying the platform’s human review, access control, audit, and communication egress and simulation patterns. 5% Collaborate and grow, which includes:

Coordinating with business systems analysts and senior engineers, pairing with analysts on proofs of concept in user sessions, and reviewing peers’ changes; Estimating and logging time daily, providing project status information to management and end users, and presenting demonstrations of project functionality; Sharing proven agent-directed delivery patterns across the combined team; and Maintaining skills through ongoing training and study, including AI fluency courses, and evaluating emerging trends and AI capabilities for fit.

The list of essential functions is not exhaustive and may be substituted, as necessary. HOW WE WANT TO WORK

We build to learn. When a user suggests a change, we put a working version in front of them in hours, generate the requirements from what we built, let users react, and then harden the same work through dev, test, stage, and production. People who thrive here: Act and decide –

Make reversible calls immediately and time-box the rest to hours or days, not weeks. Own the decision and keep stakeholders informed. Slow down deliberately for one-way doors: production data changes, real customer or agent communications, money movement, compliance positions, and security boundaries. Show, don’t tell –

Bring a working example to the conversation instead of a slide or a specification. Hold work loosely –

Treat a proof of concept as a question for users. Rework or discard it without attachment when they react. Own the outcome –

Follow a change through to production and real use, watch monitoring and audit logs, and fix what breaks. Leave a trail –

Keep generated requirements, decision notes, tests, and agent context files current so the next person or agent can pick up the work.

These standards apply to all roles. Associates are expected to demonstrate them within the scope of their position, with the level of independence, decision-making authority, and guidance appropriate for their role. EXPERIENCE AND SKILL REQUIREMENTS

Required capabilities

Two or more years of professional software development experience. A portfolio of work shipped iteratively with AI agents, with sound judgment in verifying the output. The interview includes a live build exercise. Hands-on model API integration, retrieval, tool calling, and evaluation. Experience with relational database systems (such as PostgreSQL or SQL Server), object-oriented programming, and web application development. Strong Python or TypeScript, and experience building and consuming REST APIs. Experience building interfaces using modern HTML/CSS and building functional solutions using more than one of the following: Vue, Angular, JavaScript, .NET MVC, Entity Framework, or REST. Ability to design and implement unit and integration tests, and to debug fluently with modern IDEs, preferably Visual Studio. Experience with modern source control and CI/CD release pipelines, preferably Azure DevOps and Git; with containers; with Agile processes; and with modern data formats, preferably JSON and XML. Experience writing user stories and acceptance criteria and working directly with business users to confirm completed work. Strong problem diagnosis, troubleshooting, and creative problem-solving skills, and professional written and verbal communication. Strong organizational skills to manage multiple tasks within the constraints of timelines and budgets, with business acumen. Ability to thrive in a fast-paced remote team environment and to learn rapidly and master diverse technologies and techniques. Talent required in values, work intensity, achiever, positivity, resourcefulness, command, relationship-extension, and exactness. Preferred experience

Claude Code or similar agentic tools; Python/FastAPI; TypeScript, Next.js, C#, and React; n8n; MCP. Experience with Azure DevOps or Jira; GitHub Actions; Podman or Docker; Azure. Experience with PostgreSQL and SQL Server; Kafka or Redpanda event streaming; Neo4j; Grafana and Prometheus; LDAP/Active Directory. Insurance or financial services systems and enterprise integration experience. AI FLUENCY

Directing AI agents is the default way you produce work on this team. You choose another approach when quality, security, or the platform calls for it, and can explain why. You own the correctness, security, and quality of everything you deliver, however it was produced. Delegation –

Routinely directs agents on substantial implementation, testing, and documentation work where they suit the task, chooses a sensible division of work, explains significant exceptions, and recovers when an agent becomes unproductive. Description –

Supplies clear intent, context, constraints, and completion criteria, improves them as new information emerges, and keeps repository context files current as the code changes. Discernment –

Verifies agent output by running it, testing it, and reviewing it before release, explains the result and its limits, redirects or stops ineffective work, and owns defects. Diligence –

Follows approved tool, data, and access rules independently, protects secrets and sensitive data, records material AI contributions, and raises control gaps promptly. Leverage –

Applies repeatable agent workflows to recurring engineering work and shows a credible benefit, including verification and rework. EDUCATION AND CERTIFICATION REQUIREMENTS

Bachelor’s degree in a related field or equivalent experience. Relevant technical, analysis, cloud, insurance, or leadership certifications are beneficial; demonstrated capability remains central. PHYSICAL AND WORK SCHEDULE REQUIREMENTS

This position is remote, with occasional on-site attendance. Travel arrangements and team collaboration hours are communicated for the specific opening. Consistent and reliable attendance is an essential function. Work may exceed 40 hours a week. On-call rotation –

Participates in the team’s rotating on-call schedule after training, including nights and weekends. While on call, remains reachable and responds promptly to production alerts within defined response times and escalation paths. Contain first –

While on call, is empowered to take immediate containing actions, such as rolling back a release, pausing outbound communications, parking workflows, or disabling a feature. Fixes forward during business hours unless impact requires otherwise, and records a brief incident note. Planned off-hours work –

Occasional scheduled evening or weekend work for production deploys, cutovers, data migrations, and go-lives, with advance notice. Note: We are not currently considering applicants in CA, CO, CT, DC, HI, IL, MA, MD, MN, NV, NJ, NY, RI, VT, WA, for this position. (Also some cities are: Cincinnati, OH, Jersey City, NJ, New York City, NY, Toledo, OH).