Top Hybrid Software Engineer Jobs

Design and maintain scalable backend services, driving engineering excellence and collaborating with cross-functional teams to enhance platform capabilities.

The Staff Software Engineer designs and builds scalable cloud-based backend services, leading technical discussions and mentoring team members while ensuring software quality and driving innovation in application development.

Lead design and implementation of scalable backend architectures and clean APIs, optimize databases and queries for large datasets, introduce abstractions to improve performance and reliability, define testing and CI/CD strategies, mentor engineers, and align engineering priorities with product goals.

Embed with a strategic customer to architect, build, and deliver full-stack AI-enabled solutions. Lead end-to-end projects, collaborate with C-suite and technical teams, and drive transformational, production-grade deployments using TypeScript/Node.js/React and LLM workflows.

As a Software Engineer, you will design, develop, and deploy a reliable financial platform, focusing on performance and security while collaborating with teams to ensure high-quality code and infrastructure.

Lead the development and deployment of software solutions for AI, ML, and data management within the US National Security Ecosystem, ensuring program execution and technical oversight.

Design, develop, test, and maintain scalable, secure software within an Agile team. Contribute across the SDLC, collaborate with stakeholders, support production and on-call rotations, create technical documentation, and drive continuous improvement and performance reporting.

Full Stack Engineers will design, develop and implement features for a SaaS product using React, Typescript, Django, and Python, collaborating within an agile team.

Design and implement technical solutions for customer engagements, focusing on large-scale enterprise deployments while collaborating with various teams.

The Staff Data Engineer will manage the end-to-end data lifecycle, develop data pipelines, ensure compliance, and mentor team members in a hybrid role focused on early cancer detection.