Top Software Engineer Jobs

Build and own AI-powered research-enablement tooling, shape the engineering roadmap, make architecture decisions, establish engineering processes, and help scale the team. The role partners closely with research, sourcing, engineering, and the CEO to improve report-production speed and product adoption. Responsibilities also include delivery planning, communicating risks, designing technical interviews, and developing external API or MCP capabilities.

Support development of web and mobile applications, APIs, automation tools, and AI/ML integrations. Write, test, review, and document maintainable code; troubleshoot issues; optimize performance in cloud environments; assist with model deployment and validation; and collaborate with hardware, firmware, and product teams under mentorship.

Develop, integrate, test, deploy, and maintain scalable end-to-end analytics applications for federal government customers. Collaborate with data scientists and mission analysts to build front-end and back-end tools, operationalize data science, and support analyst workflows. Work with customer architectures, data repositories, big data, machine learning, and application development processes, including requirements analysis, design, implementation, testing, integration, deployment, and maintenance.

Lead development of agentic-AI capabilities and an evaluation/provenance harness to safely automate bulk code changes. Design CI/CD integrations, PR-provenance controls, observability, test/eval tooling, rollout of standards, and operational support to scale machine-authored changes while ensuring auditability, security, and reliability.

Design and build highly scalable cloud-native microservices and platform components for AI Detection and Response, ensure reliability through testing and root-cause analysis, integrate with CrowdStrike services/APIs, mentor engineers, and drive operational excellence for production systems handling massive event rates.

Lead design, build, and operation of AI-powered Growth experiences (conversational onboarding and AI-driven email). Own technical strategy for an AI Voice Agent and ACE-powered email systems, design APIs and frontend/backends, partner cross-functionally, establish applied-AI engineering patterns, measure impact, and mentor engineers to improve product quality and responsible AI use.

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.

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.

A 12-week, full-time, on-site technology internship supporting projects across software and cloud engineering, data analytics, AI, machine learning, cybersecurity, UX, and digital transformation. Interns collaborate with experienced technologists, contribute to meaningful healthcare technology initiatives, participate in professional development, and gain exposure to technical teams, executive presentations, mentorship, and enterprise technology projects.

Develop and maintain C++ desktop applications that interface with motion capture systems. Collaborate with software, hardware, and QA engineers to build high-performance, real-time systems. Contribute to internal tools and pipelines using C++ and Python. Participate in code reviews, testing, and documentation.

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.

Lead design, build, and productionization of scalable, secure data pipelines and products in Azure Databricks. Implement batch and streaming ETL, Vector Search, RAG, LLM integrations, automation with Cursor/agents, CI/CD, observability, and governance. Mentor peers and partner with data scientists to operationalize AI while owning platform reliability and efficiency.

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.

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.

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.