Top Software Engineer Jobs

As a DB2 Database Administrator, you will optimize performance, ensure reliability, support production systems, mentor junior engineers, and participate in disaster recovery planning.

Lead the technical direction of AI initiatives by building scalable backend systems, mentoring junior engineers, and ensuring operational excellence.

The Software Engineering Manager will lead a backend engineering team for AI agent systems, oversee people management, and provide hands-on technical contributions. Responsibilities include ensuring team health, delivering production-ready systems, and guiding architectural decisions while also collaborating with product and design teams.

As a Software Engineer, you'll build AI-driven software solutions for various internal teams, emphasizing customer collaboration and problem-solving.

Lead a team of engineers in developing AI data platform services, focusing on system design, execution, and team culture. Oversee project outcomes and mentor team members.

As a Senior AI Compiler Engineer, you will design and build a custom MLIR-based compiler stack for next-gen silicon, optimizing AI models without an OS. Responsibilities include creating MLIR dialects, ensuring accuracy in lowering computational graphs, and maintaining a high-performance compiler codebase.

As a Senior Engineer 2, you'll lead the design and delivery of high-scale AI Inference services, optimizing performance and mentoring junior engineers in a collaborative environment.

Design and implement data-driven and AI-assisted systems for manufacturing execution, develop workflows, and improve operational decisions. Collaborate with teams for effective deployment.

The Senior Innovation Engineer develops and implements Pega intelligent automation solutions, collaborating with architects and teams to enhance digital transformation projects.

The AI Solutions Architect will lead the design of GenAI solutions, evaluate AI frameworks, support presales efforts, and ensure solutions are scalable and secure.

As a Senior AI Enablement Engineer, you'll design AI infrastructure, build scalable systems, ensure compliance, and promote AI adoption across teams.

The Staff Applied AI Engineer will architect multi-agent LLM systems, drive performance optimization, mentor teams, and ensure system reliability while fostering continuous improvement.

As a Graduate Engineer, you'll design and develop AI agents and features while learning finance operations, coding best practices, and developing APIs in a collaborative environment.

Develop AI agents for finance workflows, design APIs, enhance engineering practices, ensure data security, and facilitate user collaboration.

The Senior Solutions Architect will develop and deploy AI infrastructure solutions, work with customers, and drive technical pre-sales activities.

Responsible for gathering and implementing payment solutions, collaborating with teams, managing client interactions, and ensuring customer satisfaction and quality standards.

Lead Appian implementation teams, design scalable platform architectures, mentor developers, guide Agile/DevSecOps practices, integrate web services and RDBMS, produce best-practice documentation, and support client-facing technical strategy and delivery.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

Lead Appian implementation teams to design, develop, and test scalable solutions. Advise clients on architecture, DevSecOps, integrations, and configuration management. Mentor teams, create best practices, support internal tools, and drive process improvement.

The Web Developer will join an AGILE team to develop business applications, troubleshoot existing applications, and collaborate with various stakeholders.

The Senior Staff Enterprise Architect will define the architectural vision for enterprise AI solutions and align IT strategies with business objectives while ensuring adherence to best practices.

Senior full‑stack engineer who ships production features quickly, owns technical projects, mentors peers, participates in code reviews, and collaborates across teams in a fully remote, US‑Eastern overlap environment.

Build and ship end-to-end product features, debug and resolve production issues, partner with Product on UX and direction, use AI heavily for development and prototyping, and iterate quickly across the stack to improve quality and speed.

Entry-level software engineer supporting design, development, testing, and maintenance of applications. Collaborates with senior engineers to gather requirements, implement features, debug, run tests, participate in code reviews, document systems, and learn modern SDLC practices, source control, databases, and deployment workflows.

Lead and grow an engineering team building stateful, high-scale AI-ready infrastructure for data ingestion, storage, and compute. Drive technical direction, hire and coach engineers, collaborate with product and design, and ensure reliable, performant systems at global scale.