Top Software Engineer Jobs

Ten-week technology internship at a multi-strategy hedge fund. Interns join a technology team and contribute to data ingestion, high-performance processing, modeling, portfolio and risk management, live execution, and post-trade analysis. The program includes strategic projects, trading simulations, mentorship, professional development, and presentations to senior leaders. Candidates should have a STEM background, programming experience, machine learning and AI knowledge, strong analytical and communication skills, and interest in financial services.

This 12-week, in-person technology internship offers hands-on experience across software and cloud engineering, data science, analytics, AI, cybersecurity, project management, and UI/UX. Interns collaborate with experienced technologists, contribute to healthcare technology projects, attend professional development activities, and may join teams focused on digital products, enterprise data, AI, information protection, insurance technology, or enterprise architecture.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

The Staff Software Engineer will lead the architecture and design for AI workload orchestration on Kubernetes, mentoring engineers and driving technical initiatives across teams.

Build and lead development of Klaviyo's conversational AI platform: native chat surface, agent orchestrator, and agentic UI. Design scalable, reliable systems, ship high-quality code, mentor engineers, drive technical decisions, and improve AI-powered customer experiences.

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.

Design, build, test, deploy, and maintain cloud-based web applications and microservices. Ensure performance, reliability, and code quality while collaborating on new features, debugging, and optimizing systems. Use AI development tools daily, contribute to infrastructure as code, and promote maintainable architecture and documentation.

Leads Workday HCM engineering and configuration teams, providing technical direction, mentorship, architecture governance, delivery oversight, incident resolution, and engineering standards. Directs Workday implementations, enhancements, integrations, testing, monitoring, and support while partnering with HR, Finance, and IT stakeholders. Drives AI-enabled workforce experiences, intelligent automation, platform improvements, and scalable HR technology solutions. Requires strong software engineering leadership, Workday expertise, Agile delivery experience, stakeholder communication, and strategic problem-solving.

Lead and remain hands-on building an AI-first developer portal and secure external API platform. Define architecture for agent-ready workflows, authentication/credential flows, contract-first APIs, resiliency, observability, and AI-enabled support. Drive cross-functional delivery, coach engineers, and ensure operational controls, auditability, and production readiness for integrations.

Senior software systems engineer responsible for high-level design and oversight of software, hardware, and firmware systems. Lead Agile development, ensure quality and security standards, mentor engineers, manage multiple projects, support procurement, perform technical reviews, generate performance reports, and integrate emerging technologies into defense test and training environments.

Senior individual-contributor owning cost and AI-enablement for a petabyte-scale analytics platform. Build and operate data warehouse, ingestion pipeline, and Airflow; deliver cost-attribution, forecast-driven autoscaling, and production Gen AI (NLP-to-SQL/RAG) systems. Hands-on coding (~70%) plus technical coordination and on-call production support.

Join Raft to innovate national defense technology. Collaborate on AI, machine learning, and UX/UI design to create impactful defense solutions.

Lead end-to-end product builds by orchestrating AI coding agents to create applications, automations, and agents. Translate customer needs into deployable solutions, instrument and iterate on outcomes, validate AI outputs for security and quality, engage with customers to find automation opportunities, and document prompts and patterns for the team.

Design and operate scalable, event-driven backend systems in Python to power agentic AI workflows and real-time financial infrastructure. Own APIs, data architecture, reliability primitives, and platform foundations while partnering with ML and product teams to productionize AI-native financial systems.

Design and operate scalable, event-driven backend systems in Python for AI-native financial products. Build typed APIs (FastAPI + Pydantic), own data and ledger architectures, develop reliability primitives, partner with ML teams to productionize models, and ship platform foundations for audited, high-throughput financial workflows.

As a Knowledge Development Engineer, you'll architect and deploy AI-driven production systems, reverse-engineer existing systems, and guide product development. You'll synthesize customer feedback and lead experiments to connect technical development with business outcomes.

The Knowledge Development Engineer leverages AI agents to solve customer problems by building applications and automating workflows, focusing on delivery speed and quality.

Responsible for developing and enhancing an AI SDK, ensuring high performance and integration with deployment platforms, while collaborating with cross-functional teams and engaging with the open-source community.

Build and enhance AI applications for enterprises, focusing on frontend development using modern technologies like Next.js and React. Collaborate with teams to create intuitive user experiences and optimize UI performance.

Lead technical strategy and architecture for data-centric solutions across programs. Oversee data acquisition, harmonization, processing, storage, analysis, dissemination, and product lifecycle. Serve as technical lead/Product Owner, define enterprise data standards, decompose backlogs, prioritize features, advise leadership on analytics opportunities, and ensure mission-focused delivery within high-clearance environments.

Design, build, and maintain custom applications using Google AppSheet; integrate apps with Excel and SQL databases; gather requirements from stakeholders; implement workflows, dashboards, and data models; monitor and optimize app performance; provide user training and documentation; apply AI and process-improvement methods to automate and enhance PMO operations.

Lead architecture and development of scalable full-stack applications and distributed backend services (TypeScript/React/Node/GraphQL). Drive technical strategy, cross-functional collaboration with manufacturing, robotics, and operations teams, establish engineering best practices, mentor engineers, and deliver production-grade, reliable, observable software for factory and manufacturing platforms.

Develop, deploy, and maintain research software in classified/HPC and cloud environments. Implement efficient algorithms and data structures, optimize performance, integrate with research infrastructure, provide technical support, and document tools. Higher-level duties include proposing features, leading projects, managing timelines, and supervising staff.

As a Distinguished Engineer, you will lead technical innovation in AI-driven marketing systems, mentor talent, and guide architecture design. You will collaborate across teams to optimize banking solutions and influence future technology at Capital One.

The Senior Solution Architect leads the architectural strategy for finance systems, aligning technology with business goals, ensuring compliance, and driving innovation through AI and ML integration.