Software Development Engineer (Mid-Level / SDE)- Hybrid

Zipliens is a leading lien resolution company that specializes in streamlining the lien process for personal injury law firms. Our work helps law firms operate more efficiently and helps the injured people they serve access settlement funds more quickly and accurately. We are looking for engineers who want to build the systems that make complex, data-heavy products work at scale. We are looking for a Software Development Engineer to join our team, building the next generation of applications for the legal industry. After several years of high growth, Zipliens has become a leader in lien resolution, a process required in most personal injury settlements. The software we build supports that work, giving it clear, real-world impact beyond the technical challenges. We're scaling engineering significantly this year. You'd be joining a codebase with established patterns and helping extend those patterns as the team grows several times over. You'll have context available rather than a blank slate, and senior engineers on hand when a decision warrants one. Over the coming year, we're building large-scale data processing, smarter automation of staff workflows, ML/LLM systems that extract structure from medical records and lien correspondence, and customer-facing experiences that make the lien process more transparent. In this role, you'll work across our React and Python/Django stack: building features, resolving issues, and contributing to system improvements alongside product, operations, and your fellow engineers. We're hiring for this role at two levels. The difference is scope and independence — how large a piece of work you carry, and how much of it you shepherd through review and deployment on your own — not the kind of work you'd do. We also build with AI as a first-class part of the workflow: agentic coding tools, plus internal skills and harnesses we've written ourselves. Not autocomplete. You'd be expected to use them well and to improve them. Requirements Responsibilities: Build and maintain features across our Python/Django backend and React frontend, writing code that is clean, readable, and consistent with our team's conventionsDevelop and ship features, shepherding your own work from first commit through review, QA, and deployment. How much support you get there depends on where you land; the expectation of ownership doesn't changeOperate what you build: troubleshoot production issues, debug your services in AWS, and follow security practices appropriate to sensitive legal and medical dataBuild and maintain backend services and data processing workflows over large datasets, automating what's currently manualWork with product and operations to turn acceptance criteria into features our staff and clients actually use — asking questions where they're unclear, and pushing back where they're wrongWork with internal stakeholders to translate business needs into technical solutionsContribute to architecture and scalability improvements under the guidance of senior engineersParticipate in code reviews, both giving thoughtful feedback and acting on it Qualifications: 2+ years of software development experience building and maintaining systems in productionWorking experience with Python/Django (preferred) or a comparable framework (Node.js, Rails, Laravel)Working proficiency in ReactWorking SQL and PostgreSQL, including writing and reasoning about queries against large tablesHands-on AWS experience — EKS/EC2, RDS, S3, and queueing (SQS or similar). You should understand the infrastructure your services run on, not treat it as someone else's problemProficiency in at least one technical area and a functional understanding of the applications your team ownsStrong problem-solving skills and a willingness to take on unfamiliar workClear written and verbal communication; you'll be explaining technical constraints to non-technical stakeholders Nice to Have: Experience using or experimenting with agentic coding tools, and interest in building tooling around themHands-on experience with LLM or ML features, whether in production or through prototypes and experimentation: prompting, evaluation, and understanding how they failExperience with document processing or extraction from unstructured dataExperience integrating third-party or partner APIs, especially where the data is inconsistent, and the counterparty's documentation isn't solidExperience handling sensitive data such as PHI, or working under HIPAA-style requirementsFamiliarity with Kubernetes. We have an SRE who owns the cluster; you won't be running it, but you'll be deploying to it and debugging your services in it Benefits Benefits Private Health Care Plan (Medical, Dental & Vision)Company HSA contributions for HDHP participantsFlexible Spending Accounts (Health & Dependent Care)Company-Paid Short-Term Disability CoverageVoluntary Long-Term Disability, Life, AD&D, and Supplemental Coverage Options401(k) Plan with Company MatchPaid Time Off (Vacation, Sick Time & 10 paid Holidays)Parental Leave Pay Disclosure: This role is posted at two levels. The total base salary range across both roles is $79,000 - $130,500 annually, with an opportunity to earn a discretionary quarterly bonus. Level and final compensation will be determined based on skills and experience. Work Authorization: Applicants must be authorized to work in the United States without the need for employer-sponsored visa support now or in the future.