Top Software Engineer Jobs

Leads the platform development organization, including software engineering, architecture, platform modernization, cloud adoption, AI-enabled capabilities, and enterprise solution delivery. Establishes development standards, SDLC readiness gates, CI/CD workflows, security practices, and continuous improvement initiatives. Oversees architects, managers, and software engineers while managing resources, risks, and escalations. Requires extensive Microsoft technology, Azure, software architecture, regulated-environment validation, and people leadership experience.

Lead the design and hands-on implementation of a multi-tenant SaaS distributed ecosystem spanning cloud, on-premise gateways, and edge devices. Partner with architects, develop scalable Node.js backend services and BFF layers using REST and gRPC, manage infrastructure and deployment, and ensure availability, observability, security, and end-to-end ownership. The role also requires occasional React development and leadership through coding standards and technical execution.

Build and ship core 0-to-1 systems connecting software, hardware, and finance. Responsibilities include designing abstractions over complex data and legacy systems, owning the full product lifecycle, developing production-grade LLM systems for loan underwriting and compliance, and contributing to engineering and product culture. The role requires strong backend and systems thinking, with comfort in full-stack development and UI design.

Unpaid software engineering internship focusing on full-stack web development with TypeScript, Next.js/React and Node/Express. Work on front- and back-end features, responsive UI with Tailwind, animations with Framer Motion, PostgreSQL and MongoDB integration, REST APIs, microservice-based architecture, code reviews, debugging, and product planning in a remote-first startup.

Entry-level paid internship supporting Microsoft SQL Server environments. Assist DBAs with monitoring, backups, job validation, restore testing, capacity tracking, performance review, documentation, and security access reviews under direct supervision. Designed as a development path toward a Junior DBA role.

Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.

As a founding full-stack engineer, design, build, and deploy core backend services, oracle/watchtower infrastructure, and borrower-facing applications. Integrate Bitcoin transactions, PSBTs, and Discreet Log Contracts, manage SQL/NoSQL databases, contribute to architecture decisions, and wear multiple hats in a fast-paced, early-stage environment.

Lead hands-on development of scalable software, APIs, integrations, automations, and core product features. Architect systems, make technical decisions, ensure code quality, optimize performance and security, and collaborate across Product, Design, Data, and Business teams. Mentor developers, conduct code reviews, shape the technical roadmap, and improve engineering workflows, CI/CD, and architecture. The role also explores AI, automation, and API-first technologies in a fully remote startup environment.

Build production software for supplier intelligence and supply-chain provenance. Develop document and data pipelines, LLM-powered agents, regulatory logic, ERP integrations, evaluation tooling, and customer deployments. Work directly with customers on plant floors and supplier calls while shaping architecture, engineering culture, and future hiring. The role requires strong full-stack development, production LLM experience, attention to audit-level correctness, and comfort working independently in an early-stage startup.

Own AI model-serving infrastructure for a platform with 10 million users. Optimize model fit within fixed GPU budgets, improve serving speed and latency, manage cost per token, determine when to optimize or rebuild systems, and plan capacity expansion. The role requires high ownership, comfort with ambiguity, and in-person work at the Palo Alto office.