Top Senior Level Scala Jobs in Miami, FL

The role involves developing the Application Platform and enhancing the Geolift product. Responsibilities include building APIs, improving internal processes, and maintaining user experiences while participating in an on-call rotation and leading engineering efforts.

As the founding Trust and Abuse Engineer, you will safeguard ngrok’s community by developing features and AI models to combat fraud, collaborate with security teams to identify attack vectors, and shape the trust engineering vision.

As a Senior Data Engineer / Architect at Flip, you will develop data strategies, build and scale data systems, support data science initiatives, and optimize system performance. You'll drive digital transformation and work collaboratively across teams to implement innovative data solutions.

As a Senior Software Engineer on the Control Plane Ingress team, you will build and maintain cloud and on-prem networking software. Key responsibilities include participating in code reviews, collaborating with engineering teams, debugging technical issues, and improving engineering standards. Experience in delivering high-quality code, particularly in Go, and understanding of networking technologies is crucial.

As a Senior Software Engineer at Bitwise, you'll build products from scratch, manage your own work, and help shape the engineering organization. You'll contribute to key initiatives, make technical decisions, and gain insights into the rapidly evolving crypto space, while working on diverse projects as part of a small team.

As a Senior Full Stack Engineer, you'll develop features for VideoAmp's SaaS platform, working with cross-functional teams to create user workflows and scalable services. Responsibilities include building application workflows, implementing tests, optimizing performance, and mentoring teammates.

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.