Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4366365670&distance=25.0&f_AL=true&f_TPR=r10000&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOBS_HOME_KEYWORD_HISTORY Job Description: Backend Engineer Discernis · United States (Remote) Easy Apply Save Save Backend Engineer at Discernis Show more options Your job match summary is currently being generated Check back soon for results Show match details Tailor my resume Help me update my profile Create cover letter Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 About the job About Discernis Discernis delivers AI driven document intelligence for high stakes legal work. Our backend systems power large scale ingestion, processing, indexing, and analysis across diverse document types in secure environments. The Role You will play a central role in evolving a production Python platform that handles complex document workflows and serves AI driven features to users. This is a high ownership role with real architectural influence. What You Will Do Design and extend core backend services that power document ingestion, processing, and analysis Build and maintain APIs used by our frontend and internal AI services Develop robust pipelines for handling PDFs, Office files, email containers, and OCR driven workflows Improve performance and scalability across database access patterns and background task systems Strengthen reliability through thoughtful testing, observability, and clean service boundaries Contribute to authentication, authorization, and secure system design Work closely with search and AI engineers to support large scale indexing and retrieval What You Bring 3+ years of professional Python backend experience Strong experience with frameworks such as Flask or Django and relational databases Experience with background processing systems such as Celery or similar Familiarity with search systems like Elasticsearch or OpenSearch Track record of improving system quality, performance, and maintainability Comfort operating in a fast moving product focused environment Tech Environment Python 3.11+, Flask, SQLAlchemy, PostgreSQL, Elasticsearch, Redis, Docker