Top Software Engineer Jobs

Build and scale backend and full-stack systems powering patient booking, clinician routing, logistics, and device integrations. Own 0->1 projects, design APIs and data models, solve scheduling and dispatch challenges, integrate external health systems, and collaborate with product, data, ops, and clinical teams.

As a Lead Software Engineer, you'll design and develop GenAI platforms, integrate LLMs, mentor engineers, and solve technical challenges for scalable solutions.

You will lead the Mobile AI engineering team, defining roadmaps, improving product quality, and collaborating cross-functionally to deliver mobile AI solutions.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Tenure-track Computer Science faculty to teach in an ABET-accredited undergraduate program, conduct and publish research, advise majors, serve on committees, and teach across modalities (face-to-face, online, hybrid). Responsibilities include developing and delivering courses, mentoring students, and contributing to departmental service and scholarship.

Design, develop, and enhance secure, scalable software applications using modern programming languages and cloud-native technologies. Collaborate with product, design, and engineering across the SDLC, apply Agile and DevOps practices, and leverage automation and AI-driven tools to improve productivity and code quality.

Lead org-wide developer experience and AI-enabled developer workflows. Identify and solve high-leverage bottlenecks across build systems, monorepo tooling, CI/CD, and test reliability. Drive standards, enable monolith-to-modular migration, embed with product teams, mentor engineers, and deliver AI-native developer tooling and adoption at scale.

As an Engineering Project Manager, you will manage multiple engineering projects from conception to production, coordinate teams, ensure goals are met, and interact with customers and management.

Lead Oracle database operations to ensure reliability, availability, security, and performance. Manage incident/problem/change processes, patching/upgrades, backup/recovery, capacity planning, vendor relationships, disaster recovery, and SRE-driven automation. Mentor staff and partner with application, cloud, security, architecture, risk, and audit teams.

Lead design, develop, and deploy secure, scalable full-stack applications (Java or Python) for finance planning and analysis. Drive architecture reviews, operational stability, CI/CD automation, cloud-native AWS deployments, and integration of AI/ML/LLM capabilities. Mentor teams and lead engineering communities of practice.

Build and enhance AI Meeting Notes to optimize data capture, improve summaries, ensure reliability, and deliver enterprise-ready workflows. Own end-to-end product development.

Configure, integrate, and deploy the BT tool stack (Snowflake, Salesforce, Streamlit, workflow tools). Build integrations and Streamlit apps, deploy AI-enabled automations, maintain Snowflake data models and reports, catalog assets with DataHub, implement SDLC/testing/guardrails, ensure data security, and partner with Engineering/InfoSec while mentoring BT team members.

Join Rain's AI team as a Backend Engineer to build scalable backend systems and AI-powered features while collaborating with business teams.

Lead design and delivery of enterprise integrations, automation, and AI-driven workflows across SaaS platforms. Architect scalable APIs, middleware, and conversational self-service; partner with Security, Infrastructure, and Product to reduce operational toil and enable reliable, extensible enterprise platform capabilities.

Designs, develops, debugs, and delivers secure, scalable software solutions using modern SDLC and agile practices. Leverages enterprise-authorized AI-assisted coding tools, produces architecture and design artifacts, analyzes large data sets to improve systems, and ensures operational stability and secure coding standards.

Lead and contribute to full‑stack AI initiatives for Capital One Shopping. Design, implement, and deliver cloud-based services and AI-driven features, mentor engineers, collaborate with product teams, and evaluate emerging technologies to scale experiences for millions of users.

Design, develop, test, deploy, and maintain backend services and data pipelines. Ensure technical and product excellence, performance, and engineering best practices. Collaborate across global teams, drive projects, and contribute to large-scale system design and distributed computing challenges.

Lead and deliver secure, scalable Java-based microservice solutions; drive adoption and safe use of enterprise AI-assisted engineering tools; produce architecture and high-quality production code; improve CI/CD, data models, and system reliability while mentoring engineers and contributing to engineering communities.

Lead software engineer responsible for designing, developing, and delivering secure, scalable Java/Spring microservices. Drive team adoption of enterprise-authorized AI-assisted engineering practices, produce architecture artifacts, improve code quality via automation and CI/CD, troubleshoot complex issues, and coach engineers on responsible AI and secure coding standards.

The Cyber AI Senior Specialty Software Engineer will design, develop, and deploy AI applications while integrating them with existing systems and resolving technical issues.

Paid 11-week summer internship within AbbVie's Business Technology Solutions. Interns work on meaningful, business-impacting projects across AI/ML, automation, cybersecurity, data engineering, infrastructure, and software engineering while gaining technical and business experience. Placements primarily in Lake County, IL or other U.S. AbbVie locations based on business need and preference.

Build a cross-platform endpoint agent to detect and attribute AI-generated code at the line level, design pipelines to capture/classify/store developer and agent activity, work with Git internals, integrate with coding agents, and ensure reliable, invisible production deployments across macOS, Linux, and Windows.

Lead performance architecture and optimization strategies for AI inference services, focusing on maximizing throughput and minimizing latency for advanced models. Mentor the team, collaborate on product features, and maintain expertise in GPU architectures and open-source projects.

Designs, implements, tests, and troubleshoots scalable React-based applications; uses enterprise AI-assisted coding tools; produces architecture artifacts; performs end-to-end and unit testing (Playwright); analyzes data to improve code quality, resiliency, and security; contributes to engineering communities and mentors peers on responsible AI usage.

As a Software Engineer for the AI Platform, you will design, develop, and implement scalable applications, focusing on AI-driven systems and platform engineering, while collaborating with cross-functional teams.