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Job Description & How to Apply Below
Founded in 2015, Modular Solutions delivers enterprise‑grade technology to the insurance industry. Our integrated platform enables insurers, mutuals, MGAs, and brokers to manage core operations through a single, highly configurable system. Designed for flexibility and long‑term growth, our platform supports organizations operating in complex and regulated environments.
Position Summary
We are hiring several Software Developers across our product and platform teams. This posting spans intermediate to senior levels. Final level and team placement will be determined during the interview process based on demonstrated experience, strengths, and business needs.
AI is now a standard part of modern software development. At Modular Solutions, we expect engineers to be comfortable using generative AI tools as part of their daily workflow and to apply strong judgment when reviewing and validating outputs.
Some team members will focus on building production‑grade AI‑powered capabilities, including LLM integrations and retrieval‑based workflows. Others will build core platform features that integrate with and extend these AI services. All developers are expected to collaborate across teams and contribute to high‑quality, scalable systems.
Key Responsibilities
Collaborate in an Agile Scrum environment, including sprint planning, reviews, and retrospectives.
Work with cross‑functional teams to deliver features that drive measurable business value.
Participate in full SDLC activities, including research, estimation, proofs of concept, code reviews, deployments, and documentation.
Write high‑quality, performant, testable, and maintainable code.
Maintain and develop robust backend systems and REST APIs using .NET Core and Entity Framework, with a strong emphasis on scalability, configurability, and clean service boundaries.
Build responsive, user‑friendly applications using React and Type Script.
Design and implement extensible integration patterns that enable seamless connectivity with third‑party systems and services.
Design, build, and operate scalable, cloud‑native systems on Azure with a focus on reliability, performance, and observability.
Contribute to a domain‑driven architecture where flexibility, versioning, extensibility, and long‑term maintainability are core design principles.
Design, build, and maintain clean, well‑documented, production‑grade APIs intended for public or partner consumption. This includes thoughtful versioning strategies, backward compatibility considerations, and API lifecycle management.
Contribute to AI‑powered features where appropriate, including LLM‑based workflows and retrieval‑driven functionality.
Use and evaluate AI developer tooling, including Copilot, Claude Code, Codex, and similar tools as part of daily development workflows. We support flexibility and allow developers to use tools and environments that help them work effectively while maintaining engineering standards.
Required Qualifications
A degree, diploma, or certificate in computer science, software engineering, or a related field.
3 or more years of professional software development experience.
Strong experience with C# and .NET Core.
Experience building modern front‑end applications using React and Type Script.
Strong understanding of software design principles, patterns, and clean architecture practices.
Comfortable using generative AI developer tools to improve productivity and quality while applying sound engineering judgment and validation practices.
Strong collaboration and communication skills.
Preferred Qualifications
Experience designing modular, extensible systems in complex, domain‑driven applications where business logic is dynamic and highly configurable.
Experience designing clean, maintainable APIs with thoughtful versioning and long‑term evolution in mind.
Experience working with cloud platforms such as Azure.
Experience building production LLM‑powered systems, including retrieval‑augmented generation (RAG), embeddings, vector databases, and agent‑style workflows.
Familiarity with modern AI orchestration and agent frameworks such as Lang Chain, Semantic Kernel, or similar tooling.
Experience…
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