Top Remote Scala Jobs in Tulsa, OK
The Sr. Backend Engineer will develop and ship high-quality features in a scalable environment, review code for best practices, mentor team members, ensure monitoring of backend services, and participate in Agile ceremonies while solving complex problems.
As a Data Platform Engineering Manager, you will lead a team to build scalable data solutions, focusing on data processing from production systems to data lakes and warehouses. You will ensure data quality, mentor engineers, and contribute to platform strategies in a collaborative environment.
As a Principal Solutions Architect, you will manage multiple customer projects, build relationships with client executives, guide clients through complex data challenges, lead SAP data migrations into Enterprise Data Warehouses, and drive SAP S/4HANA upgrades, collaborating closely with cross-functional teams and providing strategic guidance.
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As a Data Platform Engineering Manager, you will lead a team to develop a robust data platform. Responsibilities include building scalable data systems, ensuring data quality, mentoring team members, and collaborating across departments to enhance decision-making with data.
The Head of Quality Engineering will lead quality functions across multiple platforms, creating and executing a quality assurance strategy, optimizing automated processes, and collaborating with teams to ensure high-quality software delivery. Key responsibilities include driving a culture of excellence, integrating quality into CI/CD pipelines, and managing quality metrics and third-party partners.
The Principal Software Engineer will lead the architectural design and development of scalable systems, solve complex technical problems, mentor engineers, and align technical strategies with business objectives. They will evaluate new technologies, contribute to roadmaps, and promote engineering excellence across teams.
As a Staff Software Engineer at SentinelOne, you will lead the development of the Security Data Lake, processing large volumes of data. Your responsibilities include software development, code review, architecture design, and providing team guidance. You will implement new features while ensuring code quality, stability, and security.
The Principal Engineer - ML/AI will design, develop, and deliver advanced AI and machine learning solutions, translating technical innovations into strategic business outcomes. The role requires leadership in AI, innovative problem-solving, and a comprehensive understanding of emerging technologies to serve the Federal Government clients effectively.
As an Implementation Engineer, you will focus on customer success by deploying and configuring the Protenus platform, managing data extraction, and ensuring data quality. You will engage with customers to build tools for efficiency, analyze data, and address technical inquiries. This role involves project management and ongoing support post-implementation.
As a Senior Software Engineer II for ML Core, you will define architecture and implement changes for backend services. Responsibilities include optimizing search infrastructure, enabling rapid ML model productionalization, mentoring team members, and managing complex projects across teams.
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