Top Scala Jobs
As a Software Engineer III at JPMorgan Chase, you will design and deliver technology products in a secure and scalable manner. Responsibilities include executing software solutions, developing algorithms, analyzing large data sets, and contributing to software engineering communities. Required qualifications include 3+ years of experience in software engineering, practical experience in system design, and expertise in Databricks, AWS, and programming languages like Python, Java, and Scala.
Work as a Sr. Software Engineer on CrowdStrike's Ingestion Platform, focusing on large-scale distributed systems and cybersecurity. Design proprietary Cloud Protocol, collaborate with Falcon Sensor teams, troubleshoot system failures, and scale backend systems. Requires degree in Computer Science or relevant experience, deep understanding of distributed systems, and proficiency in cloud environments.
Seeking an experienced Sr. Manager to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale.
The Senior Manager will help build and maintain APIs and SDKs to train and access AI models at scale. They will work with a team to design and implement key API products and services.
Seeking an experienced Senior Manager to build and maintain AI model training APIs and SDKs. Must have expertise in Python, Go, Scala, or C/C++, and at least 5 years of experience deploying ML applications. Strong leadership skills and familiarity with large-scale AI products preferred.
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Join DISQO as a Staff Engineer to leverage software development and data engineering skills in impacting business projects. Responsibilities include designing and delivering data pipelines, mentoring engineers, and advocating agile/scrum practices. Requires 5 years of experience with Scala, Python, Java, Spark, and AWS data ecosystem.
The Senior MLOps Engineer at ServiceNow will be responsible for implementing scalable and secure architectures for building, deploying, and diagnosing production ML applications. They will collaborate with internal team members to build a comprehensive MLOps Platform and drive platform adoption through automation and documentation. The role requires proficiency in Python, R, SQL, Scala, Java, C/C++, and experience with cloud-based solutions such as MS Azure.
Principal Software Architect specializing in Data Engineering for the Beeswax Data Platform Engineering team at FreeWheel, a Comcast company. Responsible for designing, developing, and implementing robust data solutions to support business objectives. Collaborate with stakeholders, maintain data pipelines, evaluate technologies, enforce best practices, and optimize data infrastructure.
Seeking a Senior Backend Software Engineer to join remote team and drive complex projects, lead code reviews, mentor junior members, and collaborate across engineering teams. Requires 5+ years of experience in backend development with expertise in Java, Python, Kotlin, Go, or Scala.
Lead Software Engineer role at Cox Automotive working on Automotive Client Insights nVision Product Team. Responsible for designing and developing robust and scalable analytics processing applications using Java, Scala, and Hadoop ecosystem tools. Mentoring junior engineers and exploring innovative technologies for suitability in the environment.
Join Disney Entertainment & ESPN Technology as a Senior Software Engineer to design, develop, test, deploy, and improve software for Disney Streaming products. Responsibilities include running project priorities, mentoring team members, and recruiting software engineers. Required qualifications include a BA/BS degree in Computer Science, 5+ years of software development experience with Java, proficiency in Java and Scala, and experience with event-based architecture.
Seeking a motivated and detail-oriented Data Pipeline Engineer to design, implement, and maintain data pipelines for efficient data ingestion and streaming into Snowflake data warehouse. Collaborate with stakeholders, develop connectors and integrations, optimize pipeline performance, and ensure data integrity and availability. Work with cutting-edge technologies and industry-standard practices in data engineering.
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