Explore 3 backend python developer jobs from 2 hiring companies in Oregon, WI, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Backend Python Developer

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Madison

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McFarland

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Backend Python Developer Jobs

Zendesk

University of Wisconsin–Madison

Hybrid

Remote

<h2>Job Description</h2>Join us at Zendesk, where we&#39;re on a mission to power exceptional service for every person on the planet. We&#39;re accelerating that ambition by building products rooted in AI, automation, and intelligent customer experiences, because behind every interaction lies an opportunity to make a human connection. We’re seeking a Senior Backend Engineer to own the data layer that powers Zendesk’s AI products. In this role, you’ll build and scale integrations and analytics infrastructure that transform raw support data into trusted automation recommendations — directly enabling customers to reduce support costs and improve customer outcomes.What you’ll be doing<ul><li>Design, build, and maintain robust platform connectors (ETL: Client → Extractor → Transformer → Loader) across third‑party systems, handling auth, pagination, rate limits, and schema drift.</li><li>Extend and scale the Discover insights engine: clustering topics, detecting knowledge gaps, calculating deflection/opportunity impact, and surfacing automation recommendations.</li><li>Build and operate resilient data pipelines: real-time webhooks, incremental sync, reindexing, and metrics aggregation with worker queues.</li><li>Design, optimize, and maintain search indices and aggregation pipelines for full-text, vector, and hybrid search at scale.</li><li>Solve distributed systems problems around multi-tenant isolation, webhook security, incremental sync correctness, and fault-tolerant processing.</li><li>Collaborate with product, ML, and design to turn analytics outputs into reliable, explainable customer-facing metrics and recommendations.</li></ul>What you bring to the role<ul><li>Strong backend engineering instincts and ownership mindset; you take systems from prototype to production-grade.</li><li>Deep experience building data pipelines or integration platforms with attention to correctness and observability.</li><li>Practical knowledge of search and analytics infrastructure powering RAG and retrieval features.</li><li>Experience with distributed job processing patterns and worker queue design.</li><li>A collaborative approach for working with product, data science, and customer-facing teams to deliver measurable ROI.</li></ul>Basic qualifications<ul><li>3&#43; years professional backend engineering experience, ideally in B2B SaaS.</li><li>Proficient in Python and backend frameworks (we use FastAPI).</li><li>Production experience with MongoDB, Elasticsearch/OpenSearch, and Redis.</li><li>Experience designing and operating distributed job processing (RQ, Celery, or similar).</li></ul>Preferred qualifications<ul><li>Experience with ETL/orchestration tools (Dagster, Airflow) and S3-based storage patterns.</li><li>Familiarity with NLP pipelines, embeddings, or production RAG systems.</li><li>Experience with system design for multi-tenant SaaS and webhook security (HMAC/OAuth).</li><li>Prior work on analytics engines that translate metrics into product recommendations.</li></ul>The US annualized base salary range for this position is $174,000.00-$260,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.The intelligent heart of customer experienceZendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.<a target="_blank" href="http://www.zendesk.com/company/careers/?utm_source&#61;other&amp;utm_medium&#61;organic&amp;utm_campaign&#61;job-description_Global_2025Q3">Zendesk</a> believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster <a target="_blank" href="http://www.zendesk.com/diversity-inclusion/">global diversity, equity, &amp; inclusion</a> in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please <a target="_blank" href="https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf">click here</a>. Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to <a target="_blank" href="mailto:peopleandplaces&#64;zendesk.com">peopleandplaces&#64;zendesk.com</a> with your specific accommodation request.

Senior Backend Engineer, Connectors & Discover

Backend Engineer

3+ years backend engineering, Python, FastAPI, MongoDB/Elasticsearch/OpenSearch, Redis; distributed job processing; data pipelines; observability.

<h2>Job Description</h2>About the RoleWe&#39;re building a real-time voice AI product for live, natural conversations. This is a chance to work on a product where engineering quality is felt immediately by users. Every improvement to latency, reliability, and conversation flow makes the experience faster, smoother, and more human. We&#39;re looking for a Senior Full Stack Engineer who can own product features end to end, while bringing strong backend engineering fundamentals. This is a full stack role, but the center of gravity is backend: real-time systems, integrations, performance, and reliability.What You&#39;ll Work On• Build and improve the backend systems that power real-time voice conversations• Develop integrations for telephony, real-time audio, and external AI services• Ship product features across our voice platform, including user-facing web experiences where needed• Improve platform reliability, observability, and performance• Work on real-time interaction challenges like interruptions, responsiveness, turn-taking, and conversation flow• Collaborate closely with product and design to build voice experiences that feel polished and intuitiveWhy This Role Is Exciting• Real user impact: your work directly shapes how every conversation feels• Interesting technical problems: low-latency systems, real-time interaction, and AI-powered workflows• Broad ownership: you&#39;ll contribute across product, platform, and infrastructure• Strong opportunity: voice AI is still early, and you&#39;ll help define what great products in this space look likeWe&#39;d Love to Hear From You If You• Have 3&#43; years of experience building production software• Are a strong backend engineer first, with solid fundamentals in APIs, async systems, integrations, and system design• Have experience building and owning product features end to end• Have worked with real-time or event-driven systems such as WebSockets, WebRTC, streaming, or low-latency APIs• Care about product quality and enjoy solving user-facing problems• Are excited about voice AI, conversational products, or real-time systemsNice to Have• Experience with React and TypeScript• Experience building frontend product experiences• Experience with Python and async backend architectures• Experience with telephony, WebRTC, SIP, or audio/video systems• Experience with LLMs, speech systems, or conversational AI• Experience debugging performance or reliability issues in productionTech StackPython, FastAPI, React, TypeScript, WebRTC, Redis, MongoDB, and modern LLM / speechinfrastructure.The US annualized base salary range for this position is $145,000.00-$217,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.The intelligent heart of customer experienceZendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.<a target="_blank" href="http://www.zendesk.com/company/careers/?utm_source&#61;other&amp;utm_medium&#61;organic&amp;utm_campaign&#61;job-description_Global_2025Q3">Zendesk</a> believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster <a target="_blank" href="http://www.zendesk.com/diversity-inclusion/">global diversity, equity, &amp; inclusion</a> in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please <a target="_blank" href="https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf">click here</a>. Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to <a target="_blank" href="mailto:peopleandplaces&#64;zendesk.com">peopleandplaces&#64;zendesk.com</a> with your specific accommodation request.

Senior Fullstack Engineer, Solve

Senior Fullstack Engineer

3+ years of production software experience; backend-first with APIs, async systems, integrations, and real-time systems; ownership of features end-to-end; experience with real-time or event-driven tech such as WebSockets/WebRTC.

<h2>Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.</h2><h2>Job Category:</h2>Academic Staff<h2>Employment Type:</h2>Regular<h2>Job Profile:</h2>Data Scientist III<h2>Job Summary:</h2>The Large Language Model (LLM) / Natural Language Processing (NLP) Engineer will serve as a hands-on technical contributor responsible for building, integrating, and operationalizing advanced language-model capabilities within the Wisconsin Health Data Hub (WHDH) platform. WHDH is a federally funded initiative developing a secure, cloud-native data ecosystem designed to support biomedical research, advanced analytics, and AI-driven discovery using real-world health data.This role focuses on the practical implementation of NLP and generative AI technologies that enable scalable analysis of large volumes of unstructured healthcare data such as clinical notes, research publications, and other text-based datasets. The engineer will design and deploy production-grade AI services, integrate LLM capabilities into the WHDH platform, and support researchers and partner organizations in leveraging these tools for applied healthcare analytics.The position requires a strong engineering mindset and the ability to translate emerging AI capabilities into reliable, scalable solutions operating within a secure research data environment.<h3></h3><h3>Key Responsibilities</h3><h3>LLM &amp; NLP Engineering</h3><ul><li>Design, implement, and maintain production-ready NLP pipelines for processing large volumes of unstructured healthcare and biomedical text data. </li><li>Fine-tune, deploy, and optimize large language models for domain-specific applications including clinical text analysis, semantic search, and automated summarization. </li><li>Develop services for entity extraction, concept normalization, document classification, and information retrieval from healthcare datasets. </li><li>Build reusable NLP components and APIs that can be integrated into analytics workflows across the WHDH platform. </li></ul><h3>Platform Integration &amp; AI Services</h3><ul><li>Integrate LLM and NLP capabilities into WHDH’s cloud-based data and analytics platform. </li><li>Develop scalable APIs and microservices that enable secure access to language-model capabilities by research teams and application developers. </li><li>Implement containerized services and deployment pipelines to operationalize AI models in production environments. </li><li>Work with teams to ensure NLP pipelines operate efficiently within large-scale distributed data processing environments. </li></ul><h3>Applied AI Solution Development</h3><ul><li>Collaborate with platform engineers and domain experts to design AI-driven solutions that address real-world healthcare data challenges. </li><li>Translate emerging LLM capabilities into practical tools for clinical text processing, data enrichment, and knowledge extraction. </li><li>Rapidly prototype and iterate AI-enabled features that improve usability and accessibility of the WHDH data platform. </li><li>Support applied analytics initiatives that leverage LLM capabilities to enhance research workflows. </li></ul><h3>Security, Data Governance &amp; Responsible AI</h3><ul><li>Ensure all AI solutions comply with institutional data governance policies and healthcare data privacy requirements. </li><li>Implement safeguards for secure handling of sensitive healthcare text data within NLP workflows. </li><li>Support responsible use of generative AI technologies through appropriate monitoring, evaluation, and documentation practices. </li><li>Collaborate with platform security teams to ensure compliance with HIPAA-aligned infrastructure requirements</li></ul>It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location. The position requires the finalist to reside within the State of Wisconsin or relocate to Wisconsin within a reasonable time frame from the start date of the position. Schedule is flexible within business hours of Monday through Friday 8:00a.m.- 4:30p.m.<h2>Key Job Responsibilities:</h2><ul><li>Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources</li></ul><ul><li>Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding data science best practices and methodologies and represents the interests of data science</li></ul><ul><li>Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators</li></ul><ul><li>Leverage modern NLP frameworks and LLMs to extract critical insights from unstructured clinical notes and reports, ensuring data quality and integrity through rigorous preprocessing.</li></ul><ul><li>Develop predictive models using retrospective real-world data to estimate disease risk, progression, and treatment effectiveness, while addressing bias and fairness. Design and execute rigorous hypothesis testing on observational datasets to validate research findings</li></ul><ul><li>Work closely with data governance and security to ensure compliance with privacy regulations (e.g., NIST, HIPAA) when working with healthcare data; and address bias and fairness issues in AI models when dealing with sensitive health data</li></ul><ul><li>Develop and implement informatics pipelines for the processing, integration, and harmonization of heterogeneous data sources</li></ul><ul><li>Identifies and implements or guides others in implementing appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining</li></ul><ul><li>Organizes and automates project steps for data preparation and analysis</li></ul><ul><li>Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows</li></ul><h2>Department:</h2>School of Medicine and Public Health, Informatics and Information Technology, Wisconsin Health Data Hub. The Wisconsin Health Data Hub (WHDH) is a grant-funded initiative within the Office of Informatics and Information Technology (IIT) at the University of Wisconsin–Madison School of Medicine and Public Health.  WHDH brings together a multidisciplinary team of technologists responsible for designing, implementing, and operating a secure data enclave that supports the responsible use of real-world health data for biomedical research.The WHDH team develops and manages a scalable data platform that enables researchers to efficiently access, integrate, and analyze large-scale health datasets from participating health systems. By providing advanced data services, governance frameworks, and analytical capabilities, WHDH accelerates the research lifecycle—from project conception and data acquisition to analysis and discovery—while ensuring compliance with applicable regulatory, privacy, and security requirements.  <h2>Compensation:</h2>The starting salary/hourly wage for the position is $76,289 annually; but is negotiable based on experience and qualifications.Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the <a href="https://hr.wisc.edu/benefits/%29" target="_blank">campus benefits</a> webpage.☒ <a href="https://uwmadison.box.com/s/r50myohfvfd15bqltljn0g4laubuz7t0" target="_blank">SMPH Faculty /Academic Staff Benefits Flyer 2026</a><h2>Required Qualifications:</h2><ul><li>3 Years of full-time professional experience building or deploying NLP or machine learning solutions in production environments. (5 years preferred)</li><li>Strong programming experience in Python and familiarity with modern NLP frameworks such as Hugging Face Transformers, spaCy, PyTorch, or TensorFlow. </li><li>Experience working with large-scale data processing pipelines and distributed data environments. </li><li>Experience deploying AI models using containerization technologies such as Docker and orchestration frameworks such as Kubernetes. </li><li>Ability to design and build scalable APIs and backend services supporting AI-powered applications. </li></ul><h2>Preferred Qualifications:</h2><ul><li>Experience working with biomedical or clinical text data. </li><li>Familiarity with healthcare data models and standards such as FHIR, OMOP, or UMLS. </li><li>Experience developing AI solutions in cloud environments such as AWS, Azure, or Google Cloud. </li><li>Experience with MLOps practices including model deployment, monitoring, and lifecycle management. </li><li>Familiarity with vector databases, embedding models, and retrieval-augmented generation (RAG) architectures. </li><li>Experience building generative AI applications using modern LLM frameworks.</li></ul><h2>Education:</h2>PhD Preferred; Focus in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field preferred.<h2>How to Apply:</h2>For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.To apply for this position, select either “I am a current employee” or “I am not a current employee” under Apply Now. You will then be prompted to upload your application materials.Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area.  • Cover letter required  • ResumeYour cover letter should address [how your training and experience aligns with the required and preferred qualifications listed above]. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selectedUniversity sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work. The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees.<h2>Contact Information:</h2>Cody Roekle, croekle&#64;wisc.edu, 16082637676Relay Access (WTRS): 7-1-1. See <a href="https://wisconsinrelay.com/" target="_blank">RELAY_SERVICE</a> for further information. <h2>Institutional Statement on Diversity:</h2>Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. The University of Wisconsin-Madison is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the <a target="_blank" href="https://hr.wisc.edu/required-postings/workplace-posters/">Human Resources Workplace Poster website</a>.To <a target="_blank" href="https://employeedisabilities.wisc.edu/disability-accommodation-information-for-applicants/">request a disability or pregnancy-related accommodation</a> for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the <a target="_blank" href="https://employeedisabilities.wisc.edu/divisional-disability-representatives-ddr/">Divisional Disability Representative (DDR)</a> in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.    The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).    The <a target="_blank" href="https://jobs.wisc.edu/asr">Annual Security and Fire Safety Report</a> contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the <a target="_blank" href="mailto:uwpolice&#64;mhub.uwpd.wisc.edu">University of Wisconsin Police Department</a>.

NLP LLM Specialist

3+ years NLP/ML production experience; Python; NLP frameworks; large-scale data pipelines; Docker/Kubernetes; API/backend development.

Backend Python Developer Jobs in Oregon, WI, US | HiringCafe: every job on earth

Backend Python Developer Jobs in Oregon, WI, US

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