Top Scala Jobs

As a Senior iOS Engineer, you'll collaborate with product and design teams, mentor peers, and ensure high-quality iOS app delivery while evolving the platform.

The role involves mentoring engineers, collaborating on mobile app development, and improving platform quality within a fast-paced agile environment.

As a Software Engineer II focused on AI Tooling, you'll develop AI systems and tools, build APIs, and integrate models. Collaborate with cross-functional teams to enhance productivity through innovative applications.

Lead software engineering teams using functional programming to create high assurance systems, collaborating on design and software architecture, while working with top industry experts.

The Principal Backend Software Engineer leads complex architecture projects, unblocks development challenges, and mentors junior engineers while ensuring high-quality code standards.

The Senior Software Engineer will design, develop, and implement technical solutions in a collaborative Agile environment, focusing on cloud-based applications and mentoring team members.

As a Backend Software Engineer, build REST APIs, configure monitoring, develop CICD pipelines, and create services with reliability in mind.

As a Lead Software Engineer, you will design, develop, and troubleshoot software solutions while leading teams in utilizing advanced technologies and agile methodologies.

Manage a team of engineers to build cloud-native applications, collaborate on projects, and improve internal processes, ensuring quality deliverables.

As a Lead Data Engineer at Capital One, you'll design, develop, and support technical solutions, utilizing cloud services and big data technologies while mentoring team members.

Collaborate with teams to design and develop technical solutions in full-stack development, mentor others, and implement cloud-based solutions.

The Software Engineer will design, develop, test, and support full-stack solutions, collaborating with Agile teams and utilizing cloud technologies.

Responsible for developing and modernizing data ecosystems and core applications as part of the Customer Resiliency team at Capital One.

The Senior Data Engineer will design, develop, and implement technical solutions, utilizing programming languages and big data technologies, while collaborating within Agile teams.

Lead a team of developers working on diverse technology projects while collaborating with product managers to deliver cloud-based solutions and drive financial empowerment.

Design, develop and support technical solutions in full-stack development, collaborate with teams, and deliver cloud-based solutions for customer empowerment.

The Senior Software Engineer, Back End will design, develop, and implement cloud-based technical solutions while collaborating in Agile teams. The role requires experience in various programming languages and cloud services.

Lead diverse technology projects and team of developers, modernize data ecosystems, and create cloud-based solutions for financial empowerment.

Lead diverse technology projects as a Sr. Manager of Software Engineering, focusing on back-end development using Java, Python, and AWS. Collaborate with teams to deliver cloud-based solutions and mentor developers.

Build and implement technical solutions as a Senior Back End Software Engineer, collaborating with Agile teams and utilizing various programming languages and cloud services.

Senior Data Engineer responsible for designing, developing, and supporting technical solutions, collaborating with teams, and leveraging big data technologies and cloud services.

As a Databricks ETL Developer, you'll lead the migration to cloud solutions, develop AI tools, optimize data processing, and support production tasks.

As a Senior Software Engineer, you will develop backend services in Java for search functionalities, integrate AI technologies, and mentor team members.

The Software Engineer, Data Engineer will design, implement, and optimize scalable data architectures, ensuring efficient data flow and collaboration across teams while writing documentation for data processes.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.