Remote Software engineering Jobs • Java

We are seeking a Software Engineering Manager to lead multiple engineering teams responsible for owning and delivering a Java-based SaaS product. The role will ensure on-time product releases while maintaining high quality standards. Working closely with development, QA, and product teams, the Software Engineering Manager will coordinate all aspects of product delivery and release cycles.

As a Full Stack Engineer on the growing EV team, the person in this role will be responsible for developing backend services while maintaining a high security posture. Working directly with other engineers, they will develop new services/products that EnergyHub is building in the connected EV space, engaging drivers and OEMs on new initiatives that help the proliferation of EVs worldwide. This role is a full-stack role.

As a consultant, you will work with clients to define their digital strategy, execution roadmap, and design. You would implement differentiated digital solutions to help deliver measurable value, contribute to all stages of software development lifecycle, coding, unit testing, and implementation. You will define application objectives and functionality, ensuring application designs conform with business goals and architect Scalable and High-Performance Backend Services.

As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the themes such as Data Preparation, Data Visualization, AI & Machine Learning, MLOps, Platform, or AI Governance. This position is either onsite/hybrid from Dataiku's Amsterdam office or full remote from any part of Netherlands. Dataiku is stack agnostic, so they are looking for significant experience in software engineering, and building a real product.

Build and maintain a suite of mission critical services in our core messaging flow as a Software Engineer in the Messaging Data Platform team, working with product managers, architects and other engineers to deliver Messaging product features. The team's primary focus is around building scalable, reliable and low latency services on one of the world's largest messaging platforms.

In this role, you’ll lead the design and development of scalable solutions for high-performance platforms, collaborating with technology leaders and cross-regional teams to translate complex business requirements into reliable full-stack systems. As a technical referent, you’ll drive architectural decisions, mentor engineers, and ensure the delivery of high-quality, production-ready software that supports global operations.

Seeking a Software Engineer II to build and scale the platform that powers our industry-leading payment engine, moving hundreds of millions daily. You’ll design new features, improve existing functionality, and ensure our systems deliver speed, cost efficiency, and scalability. This role is perfect for someone who thrives on collaborative problem-solving, writing clean and secure code, and taking full ownership of product quality within a cross-functional team.

You will work under the Software QA Manager and join the development team as a Full Stack Engineer Intern. You will work with our senior developers and gain exposure to the complete software development lifecycle. Responsibilities include developing responsive web interfaces using JavaScript frameworks, implementing HTML5, CSS3, and JavaScript, and building server-side applications using Java (Spring Boot).

The Accounts team manages personal and business data, enhancing the customer experience by creating and migrating accounts, ensuring information is current and processes are efficient. Consistently leads the squad to successful technical outcomes, making sound engineering decisions. Delivers high-quality, impactful technical solutions and enables other engineers to elevate coding standards. Demonstrates strong product understanding and mentors junior engineers.

As an ML / AI Software Engineer Intern, you will work directly under the VP of Innovation Engineering on the Innovation team and gain hands-on experience with the latest technologies in machine learning, generative AI, and statistical modeling, while also collaborating with experienced engineers and contributing to real-world projects.