Top Java Developer Jobs

As a Sr. Software Engineer at Saks, you'll design and build scalable customer-facing solutions on the Salesforce Commerce Cloud platform. Responsibilities include developing reusable web components, data integrations, and addressing strategic business initiatives in E-Commerce. You'll work independently and be part of a cross-functional team.

The Senior Algorithm Research Engineer will research and develop a new insulin therapy optimization solution, using machine learning and analytics to improve pump parameters. Responsibilities include collaborating with IT teams, data exploration, algorithm development, mentoring junior engineers, and presenting findings.

The role involves implementing and maintaining Virtual Directory Services using Radiant Logic, integrating IAM systems with VDS, improving data quality, creating Java code, and troubleshooting production issues. It includes coordinating projects, participating in technical meetings, and documenting systems.

The Identity Access Management (IAM) Engineer will serve as the technical expert responsible for application integration, support, design and implementation of access enterprise platforms within the authentication and identity lifecycle. This position is available remotely.

As a Senior Backend Engineer, you will develop highly scalable microservices and mobile internet backends for millions of users. Collaborate with product owners to implement features, participate in code reviews, and mentor junior team members. You will also respond to support calls and may have on-call responsibilities depending on tenure.

The Lead Software Engineer will lead technical innovation, mentor development teams, and manage product design and delivery in a multi-cloud environment. Responsibilities include developing scalable SaaS solutions, implementing microservices architecture, participating in Agile planning, and driving incident management practices.

The Java and Cloud Analytic Developer will develop analytics using a variety of technologies, create prototypes, automate analytic processes, and collaborate with customers. They will be responsible for designing, developing, testing, and deploying big data cloud computing workflows while leveraging experience in Java, Hadoop, and data science methods.

The Solutions Architect - AI/ML at Snowflake will design and implement data science solutions leveraging Snowflake's features and partner tools. This role includes advising clients on best practices, building ML pipelines, and collaborating with various teams to enhance product offerings. Hands-on experience with languages like SQL, Python, Java, and Scala is essential, along with a deep understanding of the data science lifecycle and MLOps.