Top Software Engineer Jobs

The role involves collaborating with Agile teams to design and develop solutions, mentoring, and delivering robust cloud-based solutions using various technologies, including Java, Python, and AWS.

As a Lead Software Engineer, you will develop blockchain technology solutions, implement microservices architectures, conduct code reviews, and lead software engineering practices within the team.

Lead software engineering teams, drive technical projects and initiatives, make governance decisions, and champion company culture in a financial services environment.

As a Senior Lead Software Engineer, you'll design and implement cloud-native solutions, driving technical decisions and ensuring operational excellence while collaborating with various teams and fostering an inclusive culture.

Senior Lead Software Engineer position focused on designing and implementing scalable hybrid cloud solutions, mentoring team members, and collaborating with development leads and stakeholders.

As a Lead Software Engineer, you'll develop innovative software solutions, lead teams, and enhance operational stability in a secure environment.

Lead Software Engineer responsible for designing and implementing secure, scalable data infrastructure solutions on AWS, working with Python and various data technologies.

As a Java Lead Software Engineer, you will create standards, guide technical solutions, and lead AI innovations while delivering high-quality technology products.

Lead Software Engineer will drive engineering efforts, deliver solutions across multiple projects, and make key technical decisions using Java and AWS.

Join Bio-Techne as a Software Engineer to enhance software for life sciences research, collaborating with teams on software lifecycle and design.

As a Senior Staff Software Engineer, you will enhance our platform and mentor junior engineers while ensuring robust, user-centric software development.

Responsible for the design and development of OpenAI's APIs, collaborating with teams to ensure quality and effectiveness of the product interface.

As a Full-Stack Software Engineer, explore AI capabilities and collaborate on prototypes, designing interfaces and refining user experiences for real-world applications.

As a Software Engineer on the core platform team, you'll design, build, and maintain enterprise products leveraging machine learning. Key responsibilities include developing reliable platform components, collaborating across teams, and improving existing systems.

Design, develop, and maintain backend services and APIs for Speechify, focusing on performance, scalability, and user experience while collaborating with cross-functional teams.

As a Software Engineer in the Cloud team, you'll design and implement secure cloud architectures, work with product teams and manage deployments.

Responsible for full-stack development on CRM-related features, including member sign-up/authentication and workflow automations, while ensuring high-quality code and user experience.

Develop scalable AI-powered systems for brand protection and anti-phishing. Work with frontend and backend technologies to create tools for digital threat monitoring and takedown.

Join a startup to design and maintain open-source IDE extensions, resolving user problems and enhancing coding experiences with LLMs.

You will build autocomplete and codebase retrieval solutions, focusing on detailed problem-solving and user-centric design. Engage in open-source standards and community support.

The software engineer will enhance IDE extensions and backend services, focusing on stability, maintainability, and improving core product metrics.

As a Software Engineer, you will develop features for observational studies, build tools for data integration, and enhance data exploration apps, collaborating closely with clinical research teams.

As a Software Engineer at Garage, you will develop a modern marketplace platform, focusing on user experience and end-to-end product delivery with a small team.

As a Founding Software Engineer, you'll architect and evolve core backend systems and streaming data pipelines, optimize performance and storage, and define data models to enhance AI deployment safety and performance in real-time environments.

Develop, test, and deploy software solutions, working end-to-end on features with a focus on user experience and performance. Collaborate with company leadership and partners for product direction.