Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to join a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity. We believe in career development and empowering our employees. Not only do we provide career coaches internally, but we offer many training opportunities to expand your knowledge base! We have highly competitive benefits with a variety HMO and PPO options. We have company 401k match along with an Employee Stock Purchase Program. We have tuition reimbursement, leadership development, and even start employees off with 16 days of paid time off plus holidays. We offer wellness courses and have highly engaged employee resource groups. Come join the Neo team and be part of our amazing World Class Culture! NeoGenomics is looking for a Senior Software Developer (LIMS) who wants to learn to continue to learn in order to allow our company to grow. This is remote position with a Monday – Friday, day shift. Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics: As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory. Position Summary: As a Senior Software Developer (LIMS) you will support in house development efforts in the form of Laboratory Information Systems application development, architecture reviews, code reviews, code level bug identification & remediation, root cause analysis, and performance tuning. Will also provide oversight and cross checks to existing code bases in close partnership with our quality assurance process. Responsibilities: - Design, configure, and maintain SAPIO LIMS and/or LabVantage workflows, sample lifecycles, tests, and specifications. - Develop and support custom configurations, scripts, rules, and extensions - Configure and optimize laboratory processes such as: - Sample login and tracking - Testing, results entry, review, and approval - Integrate LIMS with: - Laboratory instruments (strainers, etc.), CDS, ELN, SDMS, and other lab applications - Participate in Computer System Validation (CSV) activities, including URS, FRS, and IQ/OQ/PQ - Ensure compliance with GxP, 21 CFR Part 11, and ALCOA+ data integrity principles - Troubleshoot and resolve LIMS production issues and perform root cause analysis - Support LIMS upgrades, patches, configuration changes, and system enhancements - Collaborate with QA, Lab Operations, and IT throughout the SDLC - Create and maintain technical documentation, SOPs, and configuration guides Education, Experience & Qualifications: - Bachelor’s degree in Computer Science or equivalent work experience. - 7+ years of experience in software development in Java environment. - Must be authorized to work in the United States without the need for current or future employer sponsorship. - Strong expertise in backend systems, RESTful APIs, and microservices architecture - Hands-on experience with Java frameworks (Spring, Spring Boot) and Python frameworks (Flask, Django, FastAPI) - Solid understanding of data structures, algorithms, and object-oriented design principles - Experience building and maintaining scalable, highly available, and fault-tolerant systems - Proficiency with databases (SQL and NoSQL) such as PostgreSQL, MySQL - Experience with cloud platforms (AWS, Azure) - Healthcare Industry and or Laboratory Information Management Systems (LIMS) experience is a plus. - Strong hands-on skills with a proven ability to improve application architecture and resolve code-level issues quickly. - Ability to perform Root Cause Analysis on high-impact issues within the application. - Experience in designing and building data models to improve accessibility, efficiency, and quality of data. - Understanding of IT Security and Compliance audit processes.

This is a remote position. We are seeking a Staff AI/ML solution lead to lead the architecture, design, and delivery of high-performance, enterprise-grade applications. This role combines deep hands-on coding with high-level architectural decision-making. You will work across frontend, backend, cloud infrastructure, database selection and integration layers, ensuring our systems are secure, scalable, and maintainable while enabling long-term technical growth. This hybrid role combines hands-on software engineering, devops and architectural leadership, enabling the delivery of robust, scalable, and innovative AI systems. Key Responsibilities: - Architecture Leadership – Define system architecture, integration patterns, and technology standards for large-scale web and enterprise applications. - Full Stack Development – Build and maintain robust, responsive applications using modern frontend frameworks (React, Vue, streamlit or Angular) and backend services in Python, Golang or RUST. - Cloud & Infrastructure – Architect cloud-native solutions leveraging AWS with a focus on scalability, security, and performance. Implement containerized services with Docker and orchestrate deployments using Kubernetes (K8s). - API & Service Design – Develop RESTful and GraphQL APIs for internal and external integrations. - DevOps & CI/CD – Establish best practices for deployment pipelines, automated testing, and infrastructure-as-code (Terraform, Pulumi). - Performance Optimization – Drive system performance tuning, load balancing, and efficient code design. - Technical Mentorship – Coach and mentor engineers, conduct design/code reviews, and uphold engineering best practices. - Cross-Functional Collaboration – Partner with product, design, and business teams to deliver impactful solutions aligned with company objectives. - Databases: Will be performing database selection and deployment (strong devops experience required) - ML: Experience with both ML and LLM stack design (model hubs, vector DBs, embedding pipelines). The role required knowledge to deploy end-to-end architecture of ML applications, traditional and RAG applications, Design of the MLOPS architectures databricks, aws and google ML ops: Strong uderstanding of Agentic AI, framework, best practices Clouds: Databricks, AWS mandatory - End to End production level AI/MLl product deployment experience is required Requirements - At least bachelor’s in Computer Science mandatory - 10+ years in deployment enterprise grade cloud level experience and 5+ years in software development - 5+ years of experience with Databricks and AWS MLops deployment - This role is more of a software lead and developer with strong Cloud experience to develop infra softwares. - Architect end-to-end agentic pipelines and tools for others to contribute in the team - The role required knowledge to deploy end-to-end architecture of ML applications, traditional and RAG applications. - Architect end-to-end AI/ML systems from data ingestion to model deployment. - Define best practices for model serving, data pipelines, and ML-OPS strategies. - engineering, including hands-on model development and architectural design. - Expertise in traditional ML, deep learning, LLMs, embeddings, and RAG frameworks. - Strong software engineering skills: Python, API development, microservices, database design, and version control (Git). - Experience with cloud platforms (AWS, Databricks, Google) and containerized deployments (Docker, Kubernetes). - Knowledge of ML-OPS, CI/CD for AI, and production model monitoring. - Strong understanding of software architecture patterns, distributed systems, and scalable data pipelines. - Databases: Will be performing database selection and deployment (strong devops experience required) Preferred: Experience with event-driven architectures and messaging systems (NATs, Kafka, RabbitMQ). - Familiarity with authentication and authorization frameworks (OAuth2, JWT, SSO). - Knowledge of observability and monitoring tools (Prometheus, Grafana, OpenTelemetry). - Background in designing large-scale enterprise or SaaS platforms. - Python, Golang and Rust development experience is preferred - Experience in manufacturing and predictive maintenance is a plus - Background in controls engineering is a plus Soft Skills - Strong decision-making and problem-solving skills in high-stakes technical environments. - Ability to lead and influence architectural direction across teams. - Excellent communication with both technical and non-technical stakeholders.

• Lead technical development of a decision intelligence platform • Collaborate with product managers and stakeholders • Coach leaders and engineers • Ensure success of the software platform • Participate in prospect/customer technology meetings

• Develop and maintain multiple React applications in a microservice architecture • Design, maintain, and consume RESTful APIs and GraphQL • Write unit and/or integration tests to ensure high-quality and resilient user experience • Work closely with designers, testers, other developers, and requirement manager to ensure alignment on expected functionality • Participate in code reviews, and provide constructive feedback