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Top Software Engineer Jobs in Los Angeles, CA
As an Analytics Engineering Manager, you'll lead a team to manage critical datasets, ensuring data availability, reliability, and quality. You'll develop and maintain data pipelines, collaborate with various teams, and drive data-informed decision-making to support Growth and Expansion efforts.
As Engineering Manager of the Notifications team at Whatnot, you'll lead engineers to create a messaging framework for better user interactions. Responsibilities include hiring, collaborating on product strategy, project management, and delivering impactful solutions within a high-growth environment.
As an Engineering Manager for the Platform Engineering team at Whatnot, you will be responsible for leading the development and maintenance of backend platforms, recruiting and mentoring engineers, and collaborating with product engineering to drive strategic technical solutions. You will oversee project management while ensuring a stable and secure platform for customers.
As a Robotics Systems and Applications Engineer, you will troubleshoot and optimize robotic systems, ensuring operations run smoothly. You'll diagnose complex system issues, work closely with support teams, and collaborate with software engineers. The role requires travel to customer sites and maintaining documentation of technical issues and solutions.
The QA Engineer will design and execute test cases for robotic functionalities, identify software defects, conduct various testing types, and collaborate with teams to enhance product quality. The role also involves validating hardware integrations and acting as a subject matter expert in software usage.
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The T2 UC Engineer is responsible for managing and supporting voice, video, and data communication systems, including IP-based call center solutions. Duties include planning, designing, implementing, and maintaining telephony and collaboration systems, troubleshooting complex hardware/software issues, and ensuring high-quality deliverables throughout the project lifecycle.
The Acoustic Hardware Engineer will drive audio programs from R&D to mass production, focusing on high-fidelity wearable audio systems. Responsibilities include component selection, design trade-offs, test procedure development, vendor management, failure analysis, and delivering updates to leadership on project milestones.
As a Staff Software Engineer at Snap Inc, you'll design and implement critical advertiser-facing services, focusing on backend and full stack architecture. You'll ensure the technical direction improves system velocity and operational excellence while collaborating across teams to meet product requirements. You'll leverage your expertise in distributed systems and cloud services to enhance Snap's offerings.
The Staff Software Engineer will lead the ML Feature Generation Team at Snap Inc, driving technical direction to improve ML iteration speed and system efficiency. Responsibilities include coaching team members and leveraging expertise in big data and ML infrastructure systems to identify performance opportunities.
The Systems Engineer will lead assessments of test facilities for the space enterprise, manage projects related to facility operations, maintenance, and planning, and deliver comprehensive analyses on facility conditions. Responsibilities include advising on asset and risk management and presenting findings to senior management.
As a Lead Full Stack Developer, you will lead the architecture and development of media workflow management systems. You'll collaborate with teams to implement new features, mentor engineers, and ensure product quality. Your role involves defining strategies for application deployment, utilizing data to monitor system stability, and improving engineering methodologies.
The Senior Software Engineer in Test will develop tools and write tests to enhance software quality across various Disney applications on web, mobile, and OTT platforms. The role focuses on solving complex problems and continuously improving efficiency by working closely with various product teams.
As a Principal Software Engineer, you'll lead cross-functional projects and design scalable systems. You'll mentor engineers, drive technical excellence, and shape healthcare technology, ensuring security and performance. Collaborate with scrum teams on integrations and core infrastructure while navigating challenges in a high-priority environment.
As an Engineering Manager for Patient Access, you will lead a team to enhance product experiences, support therapy and medication management, and oversee the patient conversion metrics. The role requires collaboration with cross-functional partners and a commitment to making mental healthcare accessible through innovative engineering solutions.
As a Data Architect at PwC, you will design and implement data architecture strategies, develop data pipelines, and integrate data solutions while collaborating with stakeholders. You'll be focused on transforming raw data into actionable insights and ensuring compliance with governance and security policies.
The Senior Associate Data Architect at PwC will design and implement data architecture strategies, develop data models, ensure compliance with data governance policies, and lead cloud-based solutions implementation. The role requires collaboration with stakeholders to translate data requirements into technical solutions while maintaining data quality and system reliability.
The Data Architect Senior Manager at PwC will be responsible for designing and implementing robust data architectures, leading cloud-based solutions, and integrating data pipelines. This role involves collaborating with business stakeholders, driving data strategy engagements, and ensuring compliance with governance policies, while coaching and developing high-performing teams.
The Staff Data Engineer at Crunchyroll will lead the establishment of data engineering capabilities in AWS and GCP environments, implementing data infrastructure, mentoring a team, and ensuring reliable data delivery across departments. The role involves designing machine learning pipelines and improving data processing performance on a global level, while maintaining an empathetic and service-oriented team culture.
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