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Darwin Recruitment is looking for a Software Development Manager who will lead a geographically distributed team in delivering a business-critical governance platform that supports compliance, integrity, and transparency in global operations. Responsibilities include managing a team of 10 software engineers, defining technical standards, ensuring timely releases, and leading DevOps practices with a focus on security compliance. Candidates should have leadership experience, technical expertise in .NET technologies, and a background in DevOps practices.

Brayton Global is looking for DevOps Engineers (Jr/Mid/Sr) in The Hague, NL. The role involves working in a remote capacity with bi-weekly travel, engaging with advanced tools and practices like Git, Jenkins, Docker, and Kubernetes. Candidates should have a strong understanding of CI/CD, cloud services, and security. Language proficiency in Dutch (minimum B2) and mandatory English is required.

IBM is looking for a Backend / Full-stack Software Developer. You will meet the challenge of solutioning the world's problems while improving disaster preparedness and delivering accurate medical solutions globally. Engage throughout the product lifecycle, from quick solutions to full feature development, while adhering to quality and professional software engineering practices. Our ideal candidate should have cloud platform proficiency, programming skills, and experience with cloud security principles.

Innovate is looking for a Senior Python API Developer to join their team. The ideal candidate will have a strong background in Python development (minimum 5 years' professional experience), particularly in building and maintaining REST APIs. Responsibilities include developing RESTful APIs for both relational and non-relational databases, ensuring efficient deployment using CI/CD best practices, and collaborating in a team-oriented environment. Proficiency in cloud platforms, especially AWS or Azure, is required, alongside strong problem-solving skills.

IBM is looking for a Senior Backend Developer to join our team in Malmö, helping clients in diverse industries succeed by developing and maintaining solutions that make a difference in society. As a backend developer, you'll work on local projects and collaborate with other IBM colleagues, enhancing your skills and expertise.

Signify Technology is looking for a Senior Data Engineer to join our dynamic data team. You'll be responsible for designing and maintaining scalable data infrastructure, building robust pipelines, and optimizing data workflows to support analytics, product development, and business intelligence efforts. Proficiency in Python and SQL is required, along with experience with modern data stack tools like Spark and Airflow.

IBM is looking for a Senior Software Development Engineer to deliver a best-in-class FinOps platform. You will develop cloud-native services, own end-to-end feature development, and mentor junior engineers. Required skills include experience with modern programming languages and cloud technologies.

IBM is looking for a Spark Developer to join our software team. In this role, you will design, implement, and maintain distributed data processing pipelines using Apache Spark and Scala, collaborating closely with data architects and business teams to develop high-performance data solutions. You should have over 9 years of software development experience, particularly in Spark and Scala, with a solid understanding of big data architecture and cloud platforms.

Salesforce is looking for an Infrastructure/Kubernetes Architect to develop scalable, resilient, and fault-tolerant transactional and distributed systems. The ideal candidate should have extensive experience in transitioning products to the cloud and possess deep expertise in multi-cloud environments, Kubernetes, and distributed systems.

DeepRec.ai is looking for an MLOps Engineer responsible for deploying and scaling machine learning models for real-time video and audio applications. You will collaborate with data scientists and engineers to build fast, reliable, and automated ML infrastructure. Key responsibilities include building ML pipelines, automating model deployments, ensuring model versioning, and optimizing inference performance, among other tasks. Candidates should have 3 years of experience in MLOps or related roles, proficiency in Python, and experience with ML frameworks and cloud platforms.