Top Software Engineer Jobs

Build and operate secure, scalable cloud-native services, user interfaces, backend services, and data pipelines for Relativity’s AI Platform. Responsibilities include writing maintainable tested code, participating in design and code reviews, supporting reliability and incident response, collaborating across engineering and product teams, and improving experimentation infrastructure for petabyte-scale legal data workloads.

Build and maintain cloud-native backend services, data pipelines, and event-driven systems supporting AI usage metering, reporting, billing integrations, and model availability. Design scalable distributed architectures using C# and AWS, operate reliable production services, investigate issues, and improve observability and performance. Collaborate with Product, AI, Business Intelligence, Finance, and Platform Engineering teams while contributing to technical practices, code reviews, and architecture decisions.

Leads multiple engineering teams building and scaling Databricks’ AI/BI Dashboard product and service platform. Responsibilities include hiring and developing engineers and managers, establishing processes, driving product strategy, making architecture decisions, managing technical debt, improving software quality and operability, and applying AI and LLM technologies to product experiences. The role requires extensive distributed systems, SaaS, team scaling, and engineering leadership experience.

Leads technology strategy and the technology organization supporting a direct-to-consumer dental platform. Owns the technology roadmap, modernization, reliability, quality, delivery processes, AI adoption, and investment decisions. Manages internal and outsourced engineering, QA, infrastructure, and web development teams; develops talent and operating standards; and partners with executives and business leaders to connect technology initiatives to customer and business outcomes.

Leads an engineering team developing secure developer tools, hardened GitHub Actions, AI agent capabilities, and microVM-based products. Owns product roadmaps, hiring, team growth, technical design, code reviews, delivery, quality, reliability, and customer feedback loops. Partners with Product to prioritize and ship iteratively in an autonomous, ambiguous environment while remaining technically hands-on.

Leads and grows an engineering team building new products from concept through commercial launch. Partners with product leadership to translate market hypotheses into architectures, makes build-versus-buy decisions, owns technical execution, and improves reliability, observability, and scalability. The role combines hands-on technical leadership, people management, hiring, career development, and high-ambiguity 0-to-1 product development.

Leads distributed engineering teams delivering enterprise applications, APIs, integrations, cloud-native AWS solutions, microservices, and AI-enabled applications. Oversees technical direction, people management, modernization, API governance, data architecture, Agile delivery, DevSecOps, and engineering excellence. Partners with business, product, architecture, and operations stakeholders while ensuring scalable, secure, compliant solutions aligned with healthcare requirements.

Supports software engineering, AI, and data science projects in AWS. Assists with troubleshooting hardware, software, and network issues; system updates; installations; configurations; testing; employee technical support; documentation; and system logging. Collaborates with development and security teams while gaining mentorship and practical experience in IT support and administration.

Develop and maintain enterprise data-intensive and AI-enabled applications supporting product development and quality teams. Build optimized SQL transformations, Databricks pipelines, Java/Python backend services, APIs, and cloud-native applications using Kubernetes and Docker. Partner with AI teams to productionize ML and LLM solutions, implement testing, CI/CD, observability, security, and reliability practices, troubleshoot production issues, shape architecture, and mentor engineers.

Build and ship driver-facing AI experiences for GM vehicles using Kotlin and Android Automotive. Own features end to end across conversational behavior, on-device fulfillment, vehicle integration, UI, connected services, validation, and iteration. Prototype and productionize intelligent capabilities, diagnose issues across application and cloud boundaries, establish engineering patterns, collaborate cross-functionally, mentor engineers, and influence the roadmap for in-vehicle AI products.

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.

Design, deploy, operate, and scale GPU/CPU infrastructure for Starshield’s national security missions. Manage Kubernetes and AI clusters, bare-metal and virtualized GPU platforms, operating systems, databases, monitoring, and distributed storage. Develop infrastructure automation, improve service reliability and performance, collaborate with AI engineers and customers, and lead technical excellence while mentoring junior engineers.

Designs, deploys, operates, and scales GPU/CPU infrastructure supporting Starshield national security missions. Responsibilities include managing Top Secret data center environments, GPU-as-a-service platforms, large AI clusters, Kubernetes, operating systems, databases, monitoring, distributed storage, and automation. The role improves service reliability, mentors engineers, collaborates with AI teams, and leads technical excellence across the infrastructure lifecycle.

Lead architecture and development of a firm-wide software dependency risk platform on AWS and Java. Own data ingestion, dependency graph modeling, APIs, integrations, technical strategy, and production delivery. Establish agentic AI engineering practices using tools such as Claude, with governance for security, resiliency, auditability, and human validation. Mentor senior engineers, solve complex technical problems, and represent engineering across security, risk, compliance, and platform stakeholders.

Build and ship full-stack features, integrations, and enterprise customizations for an open-source AI product. Work directly with technical partners and enterprise customers on deployments, pilots, troubleshooting, infrastructure, identity, integrations, and data access. Generalize customer needs into reusable product capabilities, maintain customizations, document deployment processes, and provide roadmap feedback. The role requires strong communication, independent execution, and experience supporting AI-enabled applications in enterprise environments.

Develop and modernize microservices-based, real-time air traffic control software on a hybrid cloud platform. Build REST APIs and event-driven integrations, integrate relational and NoSQL databases, optimize distributed services, troubleshoot complex systems, conduct code reviews, document designs, and participate in SAFe/Agile delivery. The role also involves legacy modernization, API versioning, performance engineering, mentoring, and adoption of AI-assisted development practices. Public Trust eligibility and U.S. citizenship are required.

Leads multiple software engineering teams developing voice and text chatbot solutions. Responsibilities include mentoring engineers, managing Agile Scrum activities, contributing to architecture and design, reviewing code, overseeing the full software development lifecycle, hiring and evaluating talent, managing stakeholders, and ensuring secure, scalable, high-quality software delivery in cloud environments.

Develop and maintain complex software systems, including AI automation workflows, integrations, algorithms, and high-volume data-processing solutions. Build CI/CD pipelines, debug and enhance applications, develop database queries, implement monitoring, optimize performance, and execute software testing. The role also involves requirements analysis, documentation, system installation, quality control, and collaboration with engineering teams. Work is performed near Fort Meade, Maryland, and requires TS/SCI with a polygraph.

Build scalable and resilient Python Django web applications, APIs, SaaS products, mobile solutions, and enterprise integrations. Design back-end architecture, APIs, data models, and integrations; conduct code reviews; ensure secure, performant, maintainable code; mentor developers; document systems; estimate work; and plan project timelines. The role also involves AWS and Azure infrastructure, CI/CD, Docker, observability, and collaboration with product and front-end teams.

Lead the engineering team to develop Tulip's new agent-native app-building product, managing technical architecture and fostering AI-driven development practices.

Lead full‑stack development of React Native mobile apps and Node.js backends for digital therapeutics. Own architecture, build CI/CD and AWS infrastructure, design multi‑agent AI workflows, mentor engineers, and resolve cross‑cutting production issues.

Lead end-to-end development of a greenfield enterprise platform for software dependency risk management. Build Java services, APIs, data ingestion pipelines, dependency analysis capabilities, and developer-facing features on AWS. Guide engineers and teams in secure AI-assisted development, code quality, testing, governance, and operational stability. Provide technical direction, influence architecture and product decisions, support production systems, and collaborate with product managers and designers to deliver scalable platform capabilities.

Leads the engineering organization for a firm-wide software dependency risk platform. Responsibilities include hiring and managing engineers and engineering managers, owning platform architecture and roadmap on AWS and Java, building data ingestion and dependency graph capabilities, establishing AI-first development practices, and driving responsible AI governance, security, resiliency, and adoption across a complex enterprise.

Own and evolve patient-facing clinical application surfaces, including a React widget, clinician portal, and Python service layer. Lead full-stack architecture, AI application integrations, encounter data flows, internal tooling, versioned shared components, and operational reliability. Partner with AI engineers on LLM-enabled workflows, maintain dependencies, protect consumers from breaking changes, and mentor junior engineers. The role requires durable ownership of rapidly built systems and delivery of critical healthcare technology.

Take AI-generated prototypes into production by refactoring, designing architectures, building internal web applications and integrations, creating data models, writing tests and documentation, and instrumenting deployed tools. Direct AI coding tools, review analyst code, ensure security and maintainability, reconcile data across ERP, CRM, telematics, and other systems, and support technicians, schedulers, buyers, and planners.