Top Scala Jobs in Buffalo, NY

Manage and lead a team of 6 engineers on the Data Streaming team, collaborate with development team, mentor engineers, contribute to projects, work with product management and other teams, plan and execute projects, solve problems, deliver high-quality solutions, and provide outstanding customer experience.

Lead the development of a petabyte-scale data platform in the cloud and support Cruise's ML Data Platform tools, frameworks, and services. Responsible for building scalable, transparent, and reliable data ingestion and management systems.

Join a fast-growing Series B startup focused on helping people in crisis access legal support. Design, build, and operate front-end applications using JavaScript, React, CSS, and HTML. Collaborate with a team of software engineers to create high-performance, reliable applications. Influence company culture and shape the platform's growth as we help clients in need.

Seeking a Senior Generative AI Engineer to build and maintain APIs and SDKs for training and accessing AI models at scale. Responsibilities include designing core APIs, enabling real-time applications, and implementing AI safety measures in the API layer.

Manager, Software Engineering role at BigCommerce, focusing on building high-performing software engineering teams to drive product roadmap, system performance, and engineering best practices. Requires experience in multiple programming languages and technologies like gRPC, RabbitMQ, and Google Cloud Platform.

Senior Site Reliability Engineer role at Cisco Meraki, responsible for building and maintaining highly scalable cloud infrastructure supporting millions of devices. Key responsibilities include automation, security hardening, and deploying monitoring tools. Requires expertise in Python, Bash, Linux, AWS, and Infrastructure-as-Code.

Seeking a Senior AI Engineer to develop and implement cutting-edge machine learning models and algorithms, preprocess and analyze large datasets, train and evaluate machine learning models, deploy models to production environments, and optimize model performance.