Sr Software Engineer II

Senior Software Engineer II – NLP / Backend Systems About the Team

We launched Lex Machina in 2011 for patent litigators and are now expanding Legal Analytics to all areas of the law with the help of Lexis Nexis, our parent company. Since being acquired in 2015, we have become one of the fastest growing businesses in Lexis Nexis.

Lex Machina’s product provides Legal Analytics to companies and law firms, enabling them to craft successful litigation strategies, win cases, and close business. Our award‑winning product is used by global corporations such as Google, eBay, Yahoo!, IBM, and Nike, as well as many of the AmLaw 100 law firms including Wilson Sonsini, Fish & Richardson, Greenberg Traurig, and Fenwick & West.

As a Senior Software Engineer II with strong backend and data engineering expertise, you will help evolve our Natural Language Processing (NLP) and data‑driven systems that power Lex Machina’s legal analytics products. You’ll maintain, scale, and improve the systems that extract, process, and deliver high‑quality legal data for our customers. Working with the NLP / Algorithms team, you’ll collaborate with engineers, product managers, data scientists, and domain experts to design reliable and performant backend solutions and help bring new ideas in AI, data engineering, and automation into production.

• Design, implement, and optimize backend components of our NLP and data processing pipelines.
• Work across the full stack of data processing: from extraction to storage and delivery with an emphasis on maintainability, scalability, performance, and reliability.
• Collaborate with other teams to deliver features and infrastructure that improve product quality and developer productivity.
• Contribute to debugging, performance profiling, and tuning of large‑scale systems.
• Support migration and deployment to cloud‑based architectures and improve automation around build, deploy, and artifact management.
• Participate in code reviews, technical discussions, and mentorship of peers.

• 5+ years of experience developing, debugging, and maintaining backend applications or services.
• Strong experience with Python for backend or data engineering applications.
• Solid experience with Unix/Linux systems, shell scripting, and cloud-based environments (AWS, GCP, or similar).
• Proficiency in SQL and database design, performance tuning, and query optimization.
• Familiarity with modern software engineering practices: version control (git), CI/CD, testing, and code review culture.
• Excellent analytical and debugging skills, with the ability to dive deep into complex systems.
• Strong communication skills and an ability to work collaboratively in a cross‑functional environment.
• Java experience or ability to read and extend existing Java-based systems.
• Background in Natural Language Processing (NLP), information extraction, or text analytics.
• Data engineering experience with structured and unstructured datasets.
• Familiarity with Elasticsearch/Open Search, Ansible, or Kubernetes.

• Health Benefits:
  
  Comprehensive multi‑carrier program for medical, dental and vision benefits.
• Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan.
• Well‑being:
  Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time‑off Programs.
• Short‑ and Long‑Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity.
• Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits.
• Health Savings Account, Health Care, Dependent Care and Commuter Spending Accounts.
• Paid Time Off and up to two days of paid leave to participate in Employee Resource Groups and volunteer.

U.S. National Base Pay Range: $93,400 - $155,700. Geographic differentials may apply in some locations to better reflect local market rates.

Final date to receive applications is 02/13/2026.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or contact

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