Top Software Engineer Jobs

Build OpenArt’s enterprise AI platform for teams and organizations. Responsibilities include developing workspaces, RBAC, SSO/SAML, audit logging, usage-based billing, invoicing, payment integrations, scalable APIs, multi-tenant architecture, and polished React/Next.js administration experiences. The role also involves improving security, data isolation, reliability, and SOC 2 groundwork; partnering with founders, sales, and customers; making infrastructure decisions; and establishing enterprise engineering practices as the first hire.

Lead architecture, bring-up, validation, optimization, and deployment of networking infrastructure for large-scale AI training and inference. Define networking requirements, design Layer 3/4 and RDMA/AI fabric solutions, develop validation and observability tooling, perform packet-level debugging and root-cause analysis, and collaborate across silicon, firmware, software, and Azure teams to ensure performance, scalability, and reliability of hyperscale AI clusters.

Designs and delivers AI-augmented enterprise integration platforms, API ecosystems, and autonomous workflows. Responsibilities include developing event-driven distributed systems, integrating SAP and SaaS applications, managing API lifecycles, supporting EDI deployments, implementing secure identity and access controls, and building CI/CD and observability capabilities. The role uses agentic AI, workflow automation, and intelligent monitoring to enable self-healing, adaptive integration across cloud and enterprise environments.

The Senior Application Engineer will develop cloud-native applications and APIs, focusing on AI products, utilizing AWS technologies, and engaging in Agile project cycles.

Lead design, development, and delivery of Java and AI-powered applications using Python, Spring Boot, and Oracle PL/SQL. Perform systems analysis, develop and refine AI agents, manage AI-focused projects end-to-end, mentor developers, collaborate with stakeholders, and ensure solutions meet performance, compliance, and business objectives under tight deadlines.

Lead the full development lifecycle, building scalable APIs and systems, mentoring engineers, and delivering impactful AI-driven software solutions.

Build and own polished AI-native frontend experiences using React, Next.js, TypeScript, and Tailwind CSS. Architect scalable component systems, state management, API integrations, and performance optimizations. Partner with product and backend teams to turn AI capabilities into intuitive workflows, rapidly prototype with AI tools, and ship user-facing features from concept through production. The role combines strong frontend engineering with exceptional design sensibility and product thinking.

Build and ship production frontend features for AI-native enterprise workflows. Integrate backend APIs, develop reusable UI components, collaborate with designers and engineers, and improve performance, state management, and user experience. The role offers mentorship while developing advanced React skills, AI-powered interfaces, and scalable frontend architecture.

Lead the design, development, and operation of production-grade automation, agent frameworks, and CI/CD pipelines supporting documentation, localization, and language operations. Integrate platforms through REST APIs and MCPs, apply LLM capabilities responsibly, improve reliability and scalability, establish reusable standards, and mentor engineers. The role is fully remote in the US, with preferred Eastern or Central time zone availability.

As a Founding AI Backend Engineer at Pakket, you'll enhance backend systems, debug the CV pipeline, and deploy services across warehouses, ensuring operational reliability and rapid feature deployment.

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.

Build and own a space-based AI marketplace from MVP to scale, including its storefront, partner portal, admin tools, APIs, onboarding, entitlements, metering, integrations, deployment workflows, and third-party connectors. The role requires full-stack development, cloud-native infrastructure, multi-tenant authorization, testing, CI/CD, monitoring, and close collaboration with engineering teams.

Build and own a space-based AI marketplace from MVP to scale, including the storefront, partner portal, admin tools, APIs, onboarding, entitlements, metering, integrations, deployment workflows, and third-party connectors. The role requires end-to-end full-stack development, cloud-native infrastructure, testing, CI/CD, monitoring, secure multi-tenant authorization, and collaboration with engineering teams. The founding developer will ship weekly on a small team and use AI-assisted development workflows.

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.

Lead frontend architecture and development for an AI-powered voice platform. Build responsive dashboards and reusable components, integrate real-time WebSocket and WebRTC voice capabilities, consume AI backend APIs, manage complex application state, and optimize performance, accessibility, and reliability. Mentor frontend developers, establish coding standards, collaborate with designers and backend teams, and develop prototypes, testing strategies, and production-ready interfaces.

Build and own Eve's marketing site and GTM engineering stack: integrate and optimize external tools, design AI agents for sales and marketing, implement webhooks and middleware to sync product/CRM data, and create programmatic campaigns and internal tools in partnership with Marketing, Sales, RevOps, and Product to drive growth and automation.

Software Engineers will build AI agents for LiveFlow, focusing on designing integrated agent-driven systems to enhance financial software operations while ensuring data security and compliance.

Lead DigitalOcean Managed PostgreSQL: own strategy, architecture, reliability, scalability, and AI-native integration. Build hyperscaler-grade reliability, scale Advanced Edition for large workloads, partner across Product/GTM/SRE, and grow a high-performing global engineering organization.

Develop and enhance AI Gateway platform, contributing to the design and maintenance of features for optimal reliability in AI workloads while collaborating with cross-functional teams.

Lead the design and deployment of AI agents, mentor engineering teams, and drive technical strategy and architecture for scalable AI systems.

Graduate interns will design, develop, test, and debug software, firmware, embedded systems, validation tools, and AI-enabled engineering workflows. Responsibilities include automation, regression testing, log and performance analysis, root-cause investigation, and collaboration with firmware, software, validation, and hardware teams supporting SSD and storage products.

Own and develop production systems across backend services, data infrastructure, AI/LLM workflows, and React/TypeScript applications. Build LLM-powered agents and RAG systems on AWS Bedrock, develop scalable ML and data pipelines, and design PostgreSQL, OpenSearch, Kafka, Redis/Celery, and Kubernetes-based architectures. Partner with technical leadership on system design and roadmap decisions while translating customer and analyst needs into reliable software.