Top Scala Jobs in Baltimore, MD

As a Scala Software Engineer at Avetta, you'll collaborate with a small agile team to design and develop backend services, including SaaS RESTful APIs. You'll write clean code, participate in pair programming, automate testing, and continuously improve the integration platform while ensuring secure and scalable architecture.

The Director of Data Engineering will lead a team to develop and maintain financial applications, focusing on migrating existing systems to cloud architecture and implementing AI-driven solutions. Responsibilities include assessing current systems, designing microservices, and establishing best practices for data management, while fostering innovation within the team.

As a Cloud Test Automation Engineer, you will design and implement automated tests and performance testing tools for our cloud platform. You will work on the cloud API automation framework, manage testing environments, and contribute to documentation and bug reports in a collaborative team setting.

As a Software Engineer at Angi, you'll be responsible for writing clean code, testing, and collaborating with teams to enhance application features. You'll also engage in the full development lifecycle and participate in discussions to solve technical and business challenges.

The Staff Engineer in Data Engineering will develop and deploy complex data solutions, collaborating with cross-functional teams to improve data architecture and product features, ensuring quality, performance, and scalability. This role involves ownership of systems and features while enhancing engineering standards and practices.

As a Staff Software Engineer at SiFive, you will architect and implement features for the language driving sandboxing and verification workflows. Responsibilities include developing tools for language ecosystems and collaborating with other teams to enhance flow automation for RISC-V core IP products.

The Chief Architect will act as a technical liaison across various stakeholders, establishing architectural best practices and overseeing data modeling, development, and implementation. Responsibilities include leading meetings, mitigating technical debt, and influencing objective setting within engineering teams. Strong expertise in data cleansing, architecture, and cloud solutions is critical.