Top Software Engineer Jobs

Develop and evaluate new AI and HCI product concepts through hypotheses, prototypes, experiments, and user testing. Build model harnesses, improve memory and context retrieval, and collaborate with ML researchers to connect product and model feedback. Determine which ideas should advance into products, document unsuccessful experiments, and own implementation and direction for successful product areas.

Sets technical direction for a payments platform while remaining hands-on in software development, architecture, AI-first engineering, and system design. Leads scalable, secure, cloud-native solutions using distributed systems, event-driven architecture, and modern DevOps practices. Develops AI-based solutions, improves delivery pipelines, reviews code, mentors senior engineers, and collaborates with Product, Operations, Architecture, and Engineering teams. Ensures performance, observability, testing, security, and payment compliance across the application lifecycle.

Join a small fintech team to design, build, and scale a rewards platform. Work with product and engineering leadership to implement features across frontend and backend, contribute to architecture, and learn cloud and security practices.

Leads Accounts Engineering, managing approximately eight full-stack developers. Responsibilities include hiring, coaching, performance management, technical direction, architectural alignment, roadmap prioritization, project planning, operational reliability, on-call health, and delivery quality. The role partners with Product and Data Science, drives high-velocity product launches, manages platform and product engineering priorities, and promotes AI-assisted engineering practices.

Design, prototype, and deliver full-stack product features from database schemas and APIs through user interfaces and deployment. Build scalable Node.js and Python backends, modern JavaScript front ends, cloud-native AWS systems, and secure integrations. Experiment with AI technologies including LLMs, embeddings, and agents, using performance data to guide recommendations. Provide technical leadership, mentorship, architecture decisions, debugging, optimization, and production delivery.

Build and own frontend dashboards, control-tower workflows, reusable TypeScript components, and interactive data visualizations for a federal supply chain resilience initiative. Integrate APIs and backend data services, translate complex operational data into intuitive interfaces, and establish frontend standards for architecture, accessibility, testing, visualization, and performance. Collaborate with product, design, engineering, government stakeholders, and forward-deployed teams while supporting Python and PySpark services.

Build and operate production software across commerce, fulfillment, warehouse, transportation, order management, platform, and AI products. Own features end to end using AI coding agents, shape product specifications, design scalable systems, collaborate across teams, and maintain software after launch. Engineers also contribute to technical direction, integrations, code reviews, design reviews, and agentic development practices.

Leads the design, development, and delivery of scalable automation solutions for laboratory and scientific workflows. Responsibilities include software architecture, Python and AWS development, APIs, microservices, data pipelines, system integrations, workflow orchestration, testing, CI/CD, production support, and regulatory compliance. The role mentors engineers, establishes reusable frameworks, manages technical delivery and dependencies, and serves as a client-facing technical lead across distributed teams.

Take AI-generated CEO code changes from prototype to production. Triage pull requests, reconstruct intent, rewrite or split code, add types, tests, error handling, safe migrations, and deployment safeguards. Protect accounting and ledger correctness, enforce LLM usage limits, maintain Sentry reliability conventions, and improve tooling to prevent recurring AI-generated mistakes. The role requires strong Python production experience, excellent code review judgment, candid communication, and the ability to work rapidly with the CEO and customer priorities.

Build, configure, deploy, test, and support enterprise Microsoft Power Platform applications using Power Apps, Dataverse, Power Automate, and Power BI. Manage data migrations, release pipelines, environments, security, defect resolution, technical documentation, production support, and compliance controls. Partner with global regulatory, business, and technical stakeholders to deliver reliable solutions in a regulated environment.