Top Software Engineer Jobs

Lead a pod of four to six engineers building Neko’s growth systems, including its website, funnel, payments, booking, referrals, memberships, localization, and market launches. Set technical direction, improve architecture and instrumentation, own quality and security, run growth experiments, and mentor or hire engineers. The role requires hands-on full-stack consumer product development and ownership of conversion or revenue outcomes, with emphasis on AI-assisted engineering.

Build and productionize data and AI applications on Palantir Foundry for biomedical domain teams. Responsibilities include designing data pipelines, transformations, ontology models, workflow applications, integrations, access controls, data quality checks, and production monitoring. The role leads discovery and iterative delivery, partners with product, data, governance, and platform teams, supports user adoption, and creates reusable delivery patterns. Candidates need strong programming, data and application engineering, stakeholder management, and biomedical domain experience.

Build software, interfaces, APIs, and data services that help scientists explore protein designs, plan experiments, and visualize screening results. Collaborate with scientists, engineers, and machine learning researchers, write tested and documented code, incorporate user feedback, and present the completed project. The internship focuses on delivering a practical tool supporting Profluent’s AI-driven protein design workflow.

Lead architecture and implementation of scalable web applications using NestJS and Next.js. Build and optimize PostgreSQL schemas and queries, implement responsive UIs with Tailwind CSS, integrate LangChain-driven AI features, manage authentication with Clerk, and create end-to-end tests and automation with Puppeteer to ensure launch readiness and reliable user experiences.

Build and support internal dashboards, web applications, APIs, integrations, and data workflows. Develop front-end and back-end features, design relational databases, troubleshoot failures, write tests, deploy safely, monitor production systems, and document recovery procedures. Use AI coding assistants responsibly, review generated code, protect sensitive information, and support operational users. The role requires full ownership from incomplete requirements through implementation, release, maintenance, and verified handoff while working onsite in Winter Park five days per week.

Operate and scale production inference systems serving live, multi-tenant traffic. Own model rollouts, observability, capacity planning, incident response, reliability, failover, and cost optimization. Partner with research and inference teams to productionize serving techniques while maintaining system performance and resilience.

Designs, develops, maintains, tests, and evaluates software for CNC computer control systems. Analyzes problems, defines requirements, implements solutions, documents designs, manages source-code changes, investigates bugs, and recommends workflow improvements. The role requires active coding in Java and C, familiarity with C++, scripting, Windows and Linux environments, multithreaded applications, real-time systems, networking, and related software concepts. The engineer works under supervision in office, engineering lab, and occasionally production-floor environments.

Design and build DOSS’s core platform, including flexible data models, schema-as-code, versioned migrations, AI-assisted tooling, declarative APIs, data warehousing, observability, search, and enterprise guardrails. Scale graph-based and ETL architectures, deploy reliable cloud applications, mentor engineers, and collaborate with product and design to deliver resilient operational systems.

Develop Android and iOS applications for vehicle controls, telemetry, and mobile user experiences. Integrate APIs, libraries, cloud services, and connected-vehicle protocols; maintain cloud infrastructure; and collaborate across software, hardware, design, product, testing, and manufacturing teams. Participate in the full software development lifecycle, conduct code reviews, follow coding standards, and document systems.

Build and maintain backend services and metadata pipelines supporting data discovery, governance, and AI/ML workflows. Responsibilities include integrating relational databases, developing Java, Node.js, and Python services, optimizing distributed pipelines, implementing Terraform infrastructure, supporting GitLab CI/CD, and writing comprehensive tests. The role also involves troubleshooting scalability and reliability issues, designing asynchronous workflows, and collaborating on modern data lake, search, metadata, and LLM-enabled technologies.