Top Software Engineer Jobs

Lead software engineering initiatives for investment systems, driving architecture, technical design, cross-functional execution, system reliability, and scalability. The role coordinates engineers and product stakeholders, removes delivery blockers, mentors team members, and delivers complex enterprise-grade platforms. Technologies include AWS, Python, FastAPI, React, PostgreSQL, Redis, Kestra, and PySpark.

Develop and improve MAC-layer scheduling algorithms for fixed wireless broadband systems. Responsibilities include debugging production code and real hardware, analyzing live-network telemetry, building simulations, owning software components, and proposing algorithmic changes that improve deployed network performance. The role emphasizes strong algorithms, mathematics, performance-sensitive programming, and clear technical reasoning, with opportunities to learn wireless communications and systems engineering.

Lead and grow an AI-first software development team focused on clinic activation and onboarding. The manager will remain hands-on through architecture reviews, pairing, code shipping, and technical direction. They will partner with product, design, and data to run weekly releases, instrumentation, and experiments, while shaping AI-driven onboarding and responsible AI adoption. The role also requires coaching developers, owning activation outcomes, and partnering with adjacent AI and product teams.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Leads a media engineering development team responsible for building and operating media supply-chain systems. Defines strategy, identifies initiatives, validates workflows with operators, surfaces dependencies, drives reliable production delivery, and represents the organization in technical discussions with studio engineering teams.

Join as an early founding full-stack engineer to architect, build, and deploy a scalable platform serving AI-driven voice applications. You will own frontend and backend development, design infrastructure with the CTO, and deliver reliable production systems for enterprise customers.

Build and operate large-scale Spark and Snowflake data pipelines for advertising optimization feeds. Responsibilities include data modeling, performance and cost tuning, partner file and API integrations, data quality and monitoring, privacy-sensitive identity matching, releases, incident response, technical design, project leadership, and mentoring. The role requires production ownership across AWS data workloads, CI/CD, testing, and on-call operations.

Lead and grow a product engineering team while contributing production code, guiding architecture, and shipping reliable user-facing products. Partner across product, design, clinical, AI, and operations teams to define priorities and technical solutions. Oversee frontend, backend, integrations, AI workflows, production operations, and coding-agent adoption. Hire and coach engineers, improve delivery quality, evaluate product performance, and uphold patient safety, privacy, security, accessibility, and reliability standards.

Develop and maintain front-end and back-end applications using Vue.js, PHP, Laravel, and MySQL. Collaborate cross-functionally to implement features, write clean code, troubleshoot issues, participate in code reviews, and follow software development best practices. The role also involves modern front-end workflows, cloud services, and CI/CD pipelines within a fast-paced startup environment.

Develop backend infrastructure, data pipelines, web services, and fleet-management systems for autonomous industrial robots. Responsibilities include designing data stores for video and training data, supporting machine-learning compute clusters, maintaining customer-facing services, and diagnosing network issues. The role partners with machine learning, robot control, and DevOps teams and requires Python, distributed systems, databases, Linux, networking, and scalable data-processing experience.