Tvheadend Docker Jobs in Usa

194 positions found — Page 8

Senior Software Deployment & Customer Operations Engineer
Salary not disclosed
Boston, MA 6 days ago

Senior Software Engineer – Deployment & Reliability (Digital Pathology / Medical Imaging)

A fast-growing technology company operating in the digital pathology and medical imaging space is seeking a Senior Software Engineer to support the deployment, configuration, and long-term reliability of advanced imaging and AI-driven software systems.


This role sits at the intersection of software deployment, infrastructure engineering, and site reliability, ensuring complex software platforms are successfully installed, integrated with customer IT environments, and maintained at high levels of performance and stability.


You will work closely with engineering, customer support, and monitoring teams to ensure a smooth transition from system deployment to ongoing operational support while contributing to improvements that make deployments more scalable and reliable over time.


Key Responsibilities

Deployment & Configuration

  • Lead end-to-end deployments of imaging, AI, and data management software systems at customer environments
  • Configure and integrate servers, clusters, and storage systems within hospital or laboratory IT infrastructures
  • Work with networking, authentication, storage, and security configurations to ensure successful installations
  • Collaborate with field engineering teams during system installation and commissioning
  • Develop standardized deployment playbooks, documentation, and validation checklists

System Reliability & Upgrades

  • Manage software version rollouts, upgrades, and patching across deployed customer environments
  • Work with monitoring and observability teams to track system performance and health
  • Troubleshoot complex issues across multi-component systems including imaging software, AI inference pipelines, and storage layers
  • Improve automation around upgrades, rollbacks, and maintenance processes

Engineering Collaboration & Continuous Improvement

  • Identify recurring deployment or performance challenges and work with R&D teams to design long-term solutions
  • Provide structured feedback from field deployments to improve product architecture and deployment workflows
  • Validate new deployment tools, frameworks, and configuration approaches prior to wider rollout
  • Contribute to improving the scalability and resilience of the overall platform

Customer IT & Cross-Functional Collaboration

  • Serve as a technical liaison with customer IT teams regarding networking, infrastructure, security, and data access
  • Ensure deployments comply with institutional IT policies and healthcare regulatory requirements
  • Collaborate closely with support and monitoring teams to align escalation processes and root cause investigations
  • Participate in post-deployment reviews to improve operational processes and reliability

Documentation & Knowledge Sharing

  • Maintain detailed installation and configuration documentation
  • Develop deployment guides, troubleshooting documentation, and internal knowledge resources
  • Support and mentor field teams on standardized deployment and configuration practices


Requirements

  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related discipline
  • 5+ years of experience in software deployment, DevOps, infrastructure engineering, or systems engineering
  • Strong Linux (Ubuntu) administration and scripting skills
  • Experience with containerization and orchestration technologies (Docker, Kubernetes)
  • Experience with database technologies such as PostgreSQL or MongoDB
  • Familiarity with web service configuration (Nginx or Apache)
  • Solid understanding of networking concepts including VPNs, firewalls, and authentication systems
  • Ability to troubleshoot complex distributed systems across software, infrastructure, and data layers
  • Strong communication and collaboration skills when working with cross-functional teams and customer IT stakeholders


Preferred Experience

  • Exposure to medical imaging systems, digital pathology, or healthcare technology environments
  • Familiarity with DICOM or PACS systems
  • Experience deploying or supporting AI/ML models in production environments
  • Experience with observability and monitoring tools (Prometheus, Grafana, ELK)
  • Knowledge of regulated environments and healthcare compliance frameworks (HIPAA, GDPR, IVDR)
  • Experience supporting hardware and software integrated systems


Why This Role

This position offers the opportunity to work on advanced digital pathology and imaging technologies that support clinical diagnostics and research globally. The role combines hands-on technical deployment with the chance to influence how complex systems are designed, automated, and scaled across a growing global customer base.

Not Specified
Staff Software Engineer /Staff Data Scientist /Staff AI ML Engineer
Salary not disclosed
San Diego, CA 6 days ago

If interested in position, please fill out this form: description

Join the Future of Healthcare at MedWatchers

MedWatchers is a technology-forward leader delivering integrated care solutions that improve lives across Medicare, Medicaid, and Commercial markets. With a growing portfolio of 30+ clinical service lines and a flexible delivery model—ranging from full SaaS, hybrid solutions, to fully delegated services—we help payers close gaps, enhance outcomes, exceed quality benchmarks and demonstrate clear return on investment (ROI) through data-backed interventions.

Our comprehensive suite includes:

  • CMAPP, our cloud-based care management platform
  • Advanced analytics and risk-based targeting to derive ROI
  • Omnichannel member and provider engagement
  • Clinical services delivered by a team of 180+ licensed pharmacists, fluent in 30+ languages and dialects

We’re trusted by over 60 national and regional health plans—including the six largest payers in the U.S.

As we scale, we’re expanding our San Diego-based Technology Team across multiple positions. We’re hiring engineers and scientists to build impactful products and develop the next generation of intelligent healthcare technology in San Diego.


Software Engineer (various levels)

Roles: Software Engineer, Product Technologist, Full Stack Developer (Title and level will be commensurate with your education and experience)

Location: Onsite – San Diego, CA (No remote)

Salary Range: $160,000– $200,000 (based on experience and skills) + Annual Bonus

PHD required in Computer Science, Data Science, Engineering, or a related field


Overview

Join our San Diego-based engineering team to design and build robust, scalable technology platforms that support clinical workflows, member engagement, and real-time healthcare analytics. You’ll work across the stack, collaborating with product, data, and clinical teams to deliver impactful features in a fast-moving, mission-driven environment.


Key Responsibilities

  • Develop and maintain full-stack web applications with clean, testable code
  • Design and implement RESTful APIs and backend services
  • Build responsive, component-based user interfaces using modern JavaScript frameworks
  • Work with cloud-native tools and infrastructure for scalable deployment
  • Participate in code reviews, technical design discussions, and agile ceremonies
  • Collaborate cross-functionally with product managers, clinicians, and data teams
  • Ensure performance, reliability, and security of deployed applications
  • Contribute to platform architecture decisions as the product scales

Representative Technologies (familiarity with similar tools is welcome)

  • Frontend: JavaScript (React, Angular, Vue)
  • Backend: Node.js, Express, Python (Flask, FastAPI), Go, Rust
  • Databases: PostgreSQL, MongoDB, Redis
  • Cloud Platforms: AWS, Azure, GCP
  • DevOps & Tooling: Git, CI/CD pipelines, Docker, Kubernetes

Ideal Experience

  • Strong programming fundamentals and debugging skills
  • Proven experience in full-stack application development
  • Familiarity with modern deployment workflows and cloud services
  • Agile team collaboration and iterative product delivery
  • Bonus: Exposure to healthcare data, APIs, or workflows

We offer a comprehensive benefits package, including:

  • 401(k) with company matching
  • Health, dental, and vision insurance
  • Paid time off (PTO)
  • Tuition reimbursement
  • Employee discounts
Not Specified
Engineer, Compute Systems - IT Infrastructure - Full Time (Hybrid)
🏢 Guthrie
Salary not disclosed
Sayre, PA, Hybrid 6 days ago
Job Description

Position is hybrid with requirement to travel to Sayre, PA at least once a month.

Summary:

The Engineer, Compute System Engineering is responsible for the implementation and support of compute based infrastructure, including public, private and hybrid cloud deployment models to support critical healthcare operations across The Guthrie Clinic (TGC). This role ensures high availability and performance for clinical systems, patient care services, and administrative functions across the network. The Engineer collaborates with IT teams, vendors, and hospital stakeholders to align server infrastructure with organizational goals and regulatory requirements. This position will be a technology advocate throughout the organization for the effective application of technology to meet business needs and to support business changes and growth. Technology functions include cloud computing, database, storage, data protection, virtualization, hyperconverged infrastructure, server automation, monitoring and application delivery.

Experience:

  • Preferred three to five (3 to 5) years of experience in implementing and managing Windows and Open Systems server infrastructure hybrid cloud solutions in an enterprise environment; healthcare experience preferred.
  • Highly experienced information systems professional with a strong technical background and proven track record of accomplishments in a large, complex multi-level organization .
  • Strong technical knowledge of VMWare ESX and Microsoft Hyper-V.
  • Expertise in Microsoft Windows, Linux and AIX operating systems and management.
  • Familiar with hyperconverged infrastructures such as VxRail.
  • Familiar with Microsoft Azure Arc, System Center, Admin Center and SCCM.
  • Familiar with cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Experience in infrastructure-as-code (e.g., Terraform, CloudFormation) and containerization (e.g., Docker, Kubernetes).
  • Experience in scripting (PowerShell, Python, Bash, etc.)
  • Familiar with application delivery solutions such as Citrix.
  • Experience with storage and data protection replication methodologies.
  • Experience with Epic Infrastructure such as Hyperspace.
  • Experience with ITSM functionalities such as change control, CMDB and ticketing systems.
  • Strong knowledge of healthcare information systems (e.g., Epic, Cerner), cybersecurity and clinical operations.
  • Prior experience delivering high availability systems in a 24/7 environment across geographically dispersed business units.
  • Demonstrated ability to facilitate evaluation of technologies and achieve consensus on technical standards and solutions among a diverse group of information technology professionals.
  • Demonstrated commitment to customer service who has provided responsive and effective support, developed solid working relationships with customers, and delivered high quality, value-added services that met/exceeded customer expectations.
  • Equally adept at developing technology strategies and the operation of existing technical infrastructures. Significant experience and knowledge of computing architecture and implementation of networked computing structures.
  • Polished professional with demonstrated information technology experience and strong communication skills that can rapidly gain and maintain credibility with customers and IT colleagues.

Education:

  • Bachelor’s degree in Information Technology, Computer Science, Healthcare Administration or related field strongly desired or an equivalent combination of education and experience.

Licenses/Certifications:

  • Preferred certifications include Microsoft Certified: Azure Fundamentals, VCP-DCV, ECSA.

Essential Functions:

  • Responsible for installation and maintenance of server infrastructure along with upgrading/configuration and the life cycle management of hardware.
  • Monitors functions of server infrastructure to ensure acceptable performance.
  • Creates and maintains documentation related to server configuration and environments.
  • Serves as subject matter expert across server operating systems and solutions (Microsoft Windows Server, Linux, AIX, VMWare ESX, Microsoft Hyper-V)
  • Troubleshoots and resolves server and virtualization incidents.
  • Maintain server patching to address security vulnerabilities.
  • Collaborate with cloud compute architect to design and build functional server environments.
  • Provide level 2 escalation support and troubleshooting to resolve complex server incidents and tasks.
  • Stay current on cloud and systems engineering trends (e.g., serverless computing, containerization, AI-driven automation) and evaluate their potential to enhance TGC operations.
  • Ensure systems, applications and data are high availability, backed up and/or replicated to meet disaster and business recovery requirements.
  • Implement and enforce security requirements to protect Azure-based systems and data.
  • Anticipates and provides solutions for complex problems and issues, recommends upgrades and enhancements. Rapidly absorbs complex technical and conceptual information to identify issues and implications. Able to present understandable alternatives to both technical and non-technical individuals at all levels of the organization.
  • Monitors industry trends, maintains knowledge of developments in cloud computing, database, storage, data protection, virtualization, hyperconverged infrastructure, server automation, monitoring and application delivery.
  • Promotes the use of TGC’s PMO methodology and standards to manage IT initiatives.
  • Demonstrates commitment to customer service by providing responsive and effective support, developing solid working relationships with customers and IT colleagues, and delivering high quality, value-added services that exceed customer expectations.
  • Demonstrates a commitment to excellence in Customer Service with all internal and external customers of TGC.
  • Performs related duties as assigned and unrelated duties as requested.

Other Duties: Other duties as assigned.

About Us

Joining the Guthrie team allows you to become a part of a tradition of excellence in health care. In all areas and at all levels of Guthrie, you’ll find staff members who have committed themselves to serving the community.

The Guthrie Clinic is an Equal Opportunity Employer.

The Guthrie Clinic is a non-profit, integrated, practicing physician-led organization in the Twin Tiers of New York and Pennsylvania. Our multi-specialty group practice of more than 500 physicians and 302 advanced practice providers offers 47 specialties through a regional office network providing primary and specialty care in 22 communities. Guthrie Medical Education Programs include General Surgery, Internal Medicine, Emergency Medicine, Family Medicine, Anesthesiology and Orthopedic Surgery Residency, as well as Cardiovascular, Gastroenterology and Pulmonary Critical Care Fellowship programs. Guthrie is also a clinical campus for the Geisinger Commonwealth School of Medicine.
Remote working/work at home options are available for this role.
permanent
Senior Applied AI Scientist
🏢 Harnham
Salary not disclosed
New York, NY 2 days ago

Senior Applied AI Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

  • You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
  • You will report directly to senior leadership and work closely on technical direction
  • Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
  • You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
  • You will play an integral role of building out the AI team and scaling out its product
  • Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Applied AI Scientist will likely have the following skills and experience:

  • 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
  • Experience working in a scaling startup is preferred
  • Expertise in Python (TensorFlow, PyTorch) for production-grade work
  • Commercial experience building novel AI platforms with large datasets
  • History of working with and managing real-time AI applications in production settings
  • Cloud experience in AWS, Azure or GCP
  • DevOps exposure with CI/CD pipelines preferred
  • History of working on models from concept to production / end-to-end / 0-1
  • Applied research background in a commercial setting required
  • Publication and/or patent history highly preferred
  • Experience in settings wearing multiple hats
  • Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
  • History of partnering with non-technical stakeholders required
  • Experience owning projects
  • PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

Not Specified
Senior Computer Vision Scientist
✦ New
🏢 Harnham
Salary not disclosed
New York, NY 1 day ago

Senior Computer Vision Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

  • You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
  • You will report directly to senior leadership and work closely on technical direction
  • Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
  • You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
  • You will play an integral role of building out the AI team and scaling out its product
  • Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Computer Vision Scientist will likely have the following skills and experience:

  • 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
  • Experience working in a scaling startup is preferred
  • Expertise in Python (TensorFlow, PyTorch) for production-grade work
  • Commercial experience building novel AI platforms with large datasets
  • History of working with and managing real-time AI applications in production settings
  • Cloud experience in AWS, Azure or GCP
  • DevOps exposure with CI/CD pipelines preferred
  • History of working on models from concept to production / end-to-end / 0-1
  • Applied research background in a commercial setting required
  • Publication and/or patent history highly preferred
  • Experience in settings wearing multiple hats
  • Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
  • History of partnering with non-technical stakeholders required
  • Experience owning projects
  • PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

Not Specified
Backend Engineer
✦ New
Salary not disclosed
El Segundo, CA 1 day ago

About Wave Health

Wave Health, powered by Treatment Technologies & Insights, Inc. (TTI), aims to improve treatment experiences and outcomes for patients with cancer and chronic illnesses. We develop custom software and mobile applications to help patients manage their treatment and generate insights on their personal experiences with high-acuity or chronic conditions.


We have aggressive plans to continually enhance our infrastructure, and due to ongoing partnerships and strategic growth, we are seeking to grow our Engineering Team.


The Role

TTI is looking for a Senior Backend Engineer to join our platform team. This team member will play a critical role in designing and building the APIs and services that power the Wave Health platform.

As part of a team providing core system functionality that other engineers build upon, we are looking for someone who can not only tackle tough technical problems but also collaborate and evangelize best practices across teams. We value engineers who bring fresh ideas and are willing to own problems through to a solution. You should be comfortable working in a fast-paced startup culture and have experience architecting complex, production-grade healthcare systems.

This is a Hybrid (in-office 3x per week) role.


Required Qualifications

  • BS/BA degree in Computer Science or equivalent practical experience
  • Solid understanding of Computer Science fundamentals
  • 5+ years of relevant backend engineering experience
  • Proficiency in PHP and the Laravel framework
  • Strong experience with MySQL, including query optimization, indexing strategies, and database architecture
  • Experience designing and building RESTful APIs at scale
  • Experience in architecting complex systems with high security, reliability, and scalability requirements
  • Familiarity with healthcare data privacy requirements (e.g., HIPAA compliance)
  • Experience contributing to architecture decisions in production environments, handling sensitive data
  • Ability to mentor and support other engineers through code reviews and technical guidance


Nice to Have

  • Experience with AWS services (EC2, EKS, RDS, S3, CloudFormation, etc.)
  • Knowledge of HL7 FHIR standards and healthcare interoperability protocols
  • Experience integrating with Electronic Health Record (EHR) systems
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Familiarity with CI/CD pipelines and DevOps practices
  • Experience with microservices architecture patterns
  • Exposure to mobile API development for iOS and Android platforms


What You Will Do

  • Design, build, and maintain backend services and APIs that power the Wave Health platform
  • Architect scalable solutions for chronic condition management and patient data workflows
  • Collaborate with mobile (iOS and Android) teams to define and optimize API contracts
  • Drive technical decisions on system design, data modeling, and service architecture
  • Ensure platform security and compliance with healthcare regulations (HIPAA, GDPR)
  • Improve system reliability, performance, and observability across the platform
  • Participate in code reviews and contribute to engineering best practices and standards



Why Wave Health

  • Mission-driven work improving the lives of cancer and chronic illness patients
  • Small, collaborative engineering team where your contributions have an outsized impact
  • Opportunity to shape the technical direction of a growing healthcare platform
  • Work with modern tooling and cloud-native infrastructure
  • Fast-paced startup environment with room for growth and leadership


Expected Salary Range: $130 - 150k

Not Specified
Infrastructure Engineer - Middleware Technologies
✦ New
Salary not disclosed
Delaware County, PA 17 hours ago

Middleware Engineer

Contract to hire

Hybrid (2-3 days onsite)– Newtown Square, PA

The candidate will be a team player in a technology organization responsible for Middleware Infrastructure environment. The organization consists of highly trained system engineers and administrators, whose responsibilities include sustaining, engineering and production support of our Middleware environments. At client, Middleware technologies include OpenShift, Kubernetes, containers, Kafka, Apigee, IBM ESB, IBM MQ, Java, Tomcat, Apache, IIS etc.

Key Responsibilities:

  • Manage Middleware products/environments including new installations, upgrades, maintenance and tuning, monitoring and capacity planning.
  • Provide system/technical expertise while managing application deployments and troubleshooting application and platform issues.
  • Participate in 24x7 rotational On-Call production Middleware Infrastructure administration support for business-critical applications.
  • Design, build and manage OpenShift clusters across Development, test and production environments.
  • Develop and implement CI/CD pipelines leveraging Jenkins, Git or similar
  • Manage and optimize Kubernetes/OpenShift resources, Pods,Services,Routes,operators,Helm Charts etc.)
  • Review system logs on critical servers regularly and address system generated errors and warnings immediately to ensure minimum downtimes and disruption to users
  • Expertise in reviewing, implementing and supporting Enterprise Security solutions including Web Service Security, SSL Mutual Authentication, SSL certificate management.
  • Expertise in Various middleware technologies including Apache, application and web servers, Expertise in administering and architecture of IBM MQ environments, Kafka, Apigee including deployment, upgrades, configurations, setup, performance tuning.
  • Regularly review security patches on all servers and install the latest security patches/service packs periodically.


Required Qualifications:

  • Bachelor’s degree in computer science , Information Technology with equivalent experience.
  • At least ten(10) years of experience of overall support of Middleware Technologies and Infrastructure.
  • 5-7 + years’ experience in containerization and Orchestration (Kubernetes, docker Etc.)
  • Experience with Kubernetes concepts (pods, deployments, namespaces, RBAC, networking)
  • Assist in updating documented guidelines and procedures for the IT-Infrastructure unit and ensure that the documentation reflects any/all procedural changes.
  • Perform system health checks of core infrastructure systems as needed.
  • Integrate proactive monitoring, logging and alerting using enterprise monitoring tools.
  • Must be a self-starter with the ability to work independently and in a collaborative team environment.
  • Extensive experience and skill in the use of scripting (bash, python, PowerShell) to report on systems and automate processes.
  • Participate in planning, testing and implementation of disaster recovery plans at the Primary and Secondary Disaster Recovery site.
  • Certifications are preferred (i.e. Redhat OpenShift/Kubernetes certification,)
Not Specified
AI Fullstack Engineer
✦ New
Salary not disclosed

Local candidates only. You must be a W2 employee and we can not work with third party clients.


Software Engineer – Generative AI Applications |

Company’s Early Clinical Development (ECD) team is looking for a Software Engineer to design and build next‑generation applications that integrate generative AI into clinical development workflows. You’ll work with AI scientists, full‑stack engineers, and cross‑functional partners to deliver innovative, user‑centric tools that support Clinical Science, Operations, Medical Writing, Regulatory, and Quality teams.


What You’ll Do

  • Develop and deploy software that integrates LLMs and AI‑driven capabilities
  • Build intuitive front‑end interfaces and scalable backend services
  • Design and maintain RESTful APIs and deployment pipelines
  • Write clean, well‑documented, testable code; participate in code reviews
  • Stay current on AI/ML advancements and evaluate new technologies
  • Collaborate with data scientists, engineers, and product teams to embed AI into clinical development tools
  • Monitor production systems and optimize performance


Who You Are

  • Full‑stack engineer with strong experience building AI‑enabled applications
  • Deep understanding of modern AI/LLM capabilities, limitations, and best practices
  • Strong communicator who can work across scientific and technical teams


Minimum Requirements

  • Bachelor’s or Master’s in CS, Engineering, Math, or related field
  • 5+ years full‑stack development experience
  • Expertise with Vue.js or React, plus backend frameworks (FastAPI, Django, Flask, Next.js)
  • 2+ years building or deploying AI/ML applications
  • Experience with REST APIs, prompt engineering, and containerized workflows (Docker, Kubernetes)
  • Strong automated testing skills (unittest, jest, Playwright)
  • Familiarity with Agile development
  • Experience with AWS, Snowflake, and scalable system design
  • Experience integrating LLMs, RAG systems, or chatbots


Preferred

  • Experience with LLM fine‑tuning, AI agents, HuggingFace, LangChain, TensorFlow, or PyTorch
  • Experience with Office.js add‑ins, WebSockets, JWT, or CRDTs (Yjs)
  • Background using NLP/LLMs on clinical text or knowledge of clinical development
Not Specified
Lead Full Stack Engineer
🏢 Harnham
Salary not disclosed
Dallas, TX 6 days ago

**CAN BE HYBRID IN DALLAS, CHICAGO, ATLANTA, NYC, OR FORT WASHINGTON, MD**


Our client is seeking a highly skilled Lead Full Stack Engineer to join our Enterprise Architecture & Engineering team. This is a high-impact role responsible for supporting and enhancing existing web applications while driving innovation through modern cloud and full-stack technologies.

You will lead the design and delivery of scalable, cloud-native solutions using Azure, C#/.NET, React, Next.js, and Node.js, partnering closely with product and senior leadership to shape the technical roadmap.

This role requires deep technical expertise, strong architectural judgment, and proven leadership experience managing distributed (onshore and offshore) engineering teams.

Responsibilities

  • Lead the design, development, and ongoing maintenance of full-stack applications using Azure, C#/.NET, React, Next.js, and Node.js
  • Provide production support and ensure high availability, performance, and reliability of applications
  • Troubleshoot complex production issues and drive durable, long-term solutions
  • Architect and implement scalable, secure, cloud-native solutions
  • Drive technical evaluations and Proofs of Concept (POCs) for emerging technologies
  • Partner with product managers and senior stakeholders to translate business needs into technical solutions
  • Establish and enforce architecture standards, coding best practices, and documentation
  • Mentor and lead distributed engineering teams to deliver high-quality software on schedule
  • Facilitate cross-functional alignment across engineering, product, and business teams
  • Maintain architecture diagrams and technical documentation to support knowledge sharing

Required Qualifications

  • 8+ years of hands-on software development experience, including experience in a Lead or Senior Full Stack role

Strong expertise in:

  • Azure
  • C# / .NET
  • React and Next.js
  • Node.js
  • SQL Server and NoSQL databases (e.g., Cosmos DB)
  • Solid understanding of microservices and event-driven architectures
  • Experience with containerization technologies such as Docker and Azure Service Fabric
  • Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, Jenkins, or similar)
  • Strong front-end and back-end fundamentals (JavaScript, HTML5, CSS, REST APIs, database design)
  • Knowledge of application and cloud security principles (PKI, cryptography, SSL/TLS, secure protocols)
  • Proven experience leading and mentoring onshore/offshore teams
  • Excellent communication skills with the ability to influence senior stakeholders

Preferred Qualifications

  • Experience deploying large-scale, cloud-native applications on Azure
  • Familiarity with Kubernetes or other container orchestration platforms
  • Exposure to Python and AI/ML technologies (e.g., Azure Cognitive Services, LangChain, Azure Document Intelligence, Azure OpenAI)
  • Understanding of cloud infrastructure and security best practices
  • Experience designing and executing technical POCs
permanent
Full Stack Web Developer (Drupal + Vue.js)
✦ New
🏢 S-5!
Salary not disclosed
Colorado Springs, CO 11 hours ago

About the Role

S-5! is looking for a Full Stack Web Developer with strong Drupal and Vue.js experience to help build, maintain, and improve our web platforms and internal web applications.


This role is for someone who can work comfortably across the stack, write solid code, and solve real business problems without overcomplicating things. You should be able to move between front-end and back-end work, improve existing systems, and help us build tools and experiences that are reliable, secure, and maintainable.


We’re also looking for someone who can identify practical ways to use AI to improve workflows, speed up execution, and support better decision-making.


Experience with Puppeteer is a plus.


What You’ll Do

  • Build and maintain Drupal websites and applications, including custom modules, theming, configuration, and content structure
  • Develop front-end features and interfaces using Vue.js
  • Connect front-end experiences to Drupal and other backend services through APIs
  • Write code that is clean, maintainable, secure, and built for long-term support
  • Work with teams across the business to understand requirements and turn them into working solutions
  • Participate in code reviews, technical planning, and ongoing improvement of existing systems
  • Troubleshoot production issues and fix underlying problems, not just surface-level symptoms
  • Improve development workflows, including local setup, testing, deployment, and CI/CD
  • Create and maintain Puppeteer scripts for browser automation and end-to-end testing when needed
  • Look for practical opportunities to use AI and automation to improve internal workflows and execution


Required Qualifications

  • 5+ years of professional web development experience, or equivalent depth of experience
  • Strong hands-on experience with Drupal, ideally Drupal 9 or 10
  • Experience with custom module development, configuration management, and content modeling
  • Familiarity with Composer-based Drupal workflows
  • Experience with Drupal theming and Twig templates
  • Strong hands-on experience with Vue.js, including component-based development, API integration, routing, and build tooling
  • Strong fundamentals in modern JavaScript, HTML, CSS, and responsive UI development
  • Comfortable working in PHP and with relational databases such as MySQL or MariaDB
  • Experience building or consuming REST APIs and connecting front-end applications to backend systems
  • Proficiency with Git and standard team development practices such as pull requests and code reviews



Preferred Qualifications

  • Experience with Puppeteer and Node.js for browser automation or end-to-end testing
  • Experience with TypeScript
  • Familiarity with automated testing tools such as Jest, Cypress, Playwright, or PHPUnit
  • Experience with Docker, DDEV, Lando, or similar local development tools
  • Understanding of accessibility best practices and web performance optimization
  • Familiarity with secure coding practices and dependency management


This role is fully in office at our corporate headquarters in Colorado Springs, CO. 

Compensation and Benefits:

Base salary: $90,000–$100,000, depending on experience

Target performance bonus: 10%

Standard benefits package; details will be provided by HR


Please submit your resume, along with links to relevant work such as GitHub or a portfolio, if available. Include a brief note highlighting your experience with Drupal, Vue.js, and .


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