Top Scala Jobs in Chicago, IL

As a Staff Software Engineer, you will lead the development of the Total Visibility data pipeline, architect end-to-end software solutions, collaborate with stakeholders, and manage multiple priorities in a fast-paced environment. Ideal candidates have 8+ years of Python programming experience, 2+ years of big data stack experience, and expertise in AWS technologies. Prior experience in AdTech and leading development teams is a plus.

Work as an Associate Principal in Software Engineering focusing on blockchain-based Securities Lending system at the Options Clearing Corporation. Collaborate on complex projects, think ahead for improvements, and lead in digital transformation within the capital markets industry.

Be an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products. Drive significant business impact through capabilities and contributions and apply deep technical expertise and problem-solving methodologies. Serve as a technical expert for the team and deliver value to stakeholders.

Seeking a Senior Front-end or Full-stack Software Engineer to join the dynamic team at Rocket Travel. Responsibilities include full-stack development, architecture design, continuous improvement, A/B testing, and technical mentorship. Required expertise in React, Kotlin, Scala, cloud platforms, DevOps, and agile methodologies.

Seeking an Engineering Manager to lead the Data Streaming team at ServiceNow, responsible for managing a group of 6 engineers, collaborating on day-to-day activities, mentoring and developing team members, contributing to projects, and delivering high-quality solutions. Must have 6+ years of software industry experience and 2+ years of managerial experience.

Lead a team of passionate engineers at Grindr to build the next generation of the Grindr app. Provide thought leadership, technical guidance, and mentorship. Collaborate with product and technical teams to solve complex problems. Experience with high-impact product software, architecture at scale, cloud technologies, native mobile app development, and communication skills.

Lead the design and implementation of efficient data processing systems and pipelines. Develop data models, educate teams on new tools, and evaluate emerging technologies. Mentor junior team members and collaborate with AI and Business Analytics teams.