• Develop and maintain AI- and integration-related frameworks and components based on Jakarta Enterprise (Jakarta EE) and Angular • Contribute across the full tech stack, including microservice architecture and responsive components • Work with AWS and cloud-based frameworks • Maintain and evolve framework components such as the Application Server Framework and the Kubernetes Framework • Deliver reusable application components that help the company monitor and control security • Perform, review and evaluate static and dynamic code analyses and conduct software design and architecture reviews to assess and iterate on designs

Role Description - Design, build, and maintain RESTful web services and modern single-page applications. - Develop scalable microservices on AWS that support LIMS workflows. - Write clean, well-tested code following TDD practices. - Participate in code and design reviews; give and receive constructive feedback. - Work closely with product, QA, and other engineers in an Agile/Scrum team. - Help improve coding standards, CI/CD pipelines, and DevOps automation. - Troubleshoot issues across the stack and support applications through their full lifecycle. - Communicate progress, trade-offs, and technical decisions clearly to the team. Qualifications - Bachelor's degree in Computer Science, Engineering, or Information Technology. - 5 or more years of experience in software engineering with progressive responsibility. - Strong hands-on experience with Java, Spring Boot, JPA/Hibernate, and Maven. - 2 or more years building applications on AWS (Lambda, ECS, EC2, SQS, API Gateway) or equivalent in Azure/GCP. - Experience designing and working with SQL databases (PostgreSQL, Oracle). - Experience with REST APIs and microservices architecture. - Hands-on experience with unit testing using JUnit 5 and Mockito. - Familiarity with CI/CD tools — Jenkins, Git, Maven/Gradle, SonarQube, Jira. - Working knowledge of application security (OAuth 2.0 / OpenID Connect, Spring Security). - Experience working in Agile/Scrum teams. - Strong analytical, problem-solving, and communication skills. Requirements - Experience with LIMS platforms (e.g., LabWare, LabVantage, STARLIMS, Thermo SampleManager) or other lab/scientific applications. - AWS certification or deep production experience on AWS preferred. - Familiarity with APM tools (AppDynamics, Dynatrace) and log platforms (Splunk, ELK, OpenSearch). - Exposure and demonstrable experience with AI / LLM concepts, prompt engineering, or agentic coding tools. Additional Job Standards - Technical Skills – Solid grasp of system design and scalable application development. - Problem-Solving – Can break down and resolve complex technical issues. - Collaboration – Works well across engineering, QA, product, and business teams. - Communication – Clear and concise in writing and conversation. - Ownership – Delivers on commitments and follows work through to completion. - Adaptability – Comfortable managing shifting priorities in a fast-paced environment. Company Description Labcorp is a global leader in diagnostic testing and drug development solutions, helping healthcare providers, researchers, and patients make informed decisions that advance care. Join us in our mission to improve health and improve lives.

• Learn and apply the development models used across our platforms; • Develop parts of our communication systems; • Fix issues and resolve programming design challenges on both backend and frontend; • Participate in entrepreneurship and technology events; • Actively collaborate in creating value for InEvent, with the courage to be challenged and the initiative to propose necessary improvements.

Role Description At Modular, we optimize inference from kernel to cloud on one unified stack. We are building a differentiated cloud platform that delivers state of the art inference performance from day one, then keeps getting better. As we learn the shape and patterns of each customer's workload, the platform adapts and improves performance automatically over time. The Performance Labs team builds the infrastructure that makes this possible at scale. We continuously apply the latest optimizations across kernels, the inference engine, and distributed systems so that customer workloads stay on the Pareto frontier of cost and performance. In this role you will: - Dig into real customer inference workloads and profile them end to end. - Apply optimizations across kernels, engine, and distributed systems to push each workload toward the Pareto frontier. - Build the tooling and platform that turns one-off performance wins into a repeatable, automated optimization loop. - Work directly with engineering, product, and GTM to bring those gains to customers in production. Qualifications - 5+ years of experience in distributed systems or performance engineering. - A track record of building durable, reusable software tools and libraries that are adopted across teams and functions. - Sound judgment in evaluating technical tradeoffs and setting priorities. - Strong communication and technical leadership skills. - Creativity and curiosity in solving complex problems. - A collaborative and team-oriented mindset, aligned with our culture. Requirements - Experience with GPU kernel programming, inference engine internals, or distributed inference architectures (helpful, but not required). - Experience with Kubernetes and cloud native ecosystems (helpful, but not required). - Familiarity with modern LLM architectures and the latest inference optimization techniques (helpful, but not required). Benefits - Amazing Team: We are a progressive and agile team with some of the industry’s best engineering and product leaders. - World-class Benefits: Premier insurance plans, up to 5% 401k matching, flexible paid time off, and more are available to you! - Competitive Compensation: Very strong compensation packages, including stock options. - Team Building Events: Regular team onsites and local meetups in Los Altos, CA, and different cities. - Growth Opportunities: Work alongside incredibly motivated and talented people who have high standards and a growth mindset.