Top Hybrid Software Engineer Jobs

Lead the Data Science and Artificial Intelligence Department in researching, prototyping, and building AI and data enabled tools for the space enterprise. Manage a team of engineers, data scientists, and programmers to deliver innovative solutions for national security, civil, and commercial customers.

The Aerospace Corporation is seeking a Director for the Data Science and Artificial Intelligence Department to lead a team of engineers, data scientists, and programmers in developing AI and data enabled tools for space enterprise. The role involves setting department strategy, aligning with corporate priorities, and overseeing R&D and customer support for mission-critical space systems.

The Aerospace Corporation is looking for a Director for their Data Science and Artificial Intelligence Department to lead a team in researching, prototyping, and building AI and data-enabled tools for space enterprises. This is a full-time position offering a hybrid work model based in El Segundo, CA, Chantilly, VA, or Colorado Springs, CO.

As a SailPoint Developer, you will be responsible for SailPoint application development, connector configuration, custom rule development, and API services. You will collaborate with cross-functional teams to enhance IAM structure and streamline access policy management. Key responsibilities include application onboarding, UAT participation, monitoring application health, and providing troubleshooting support.

Lead Database Engineer responsible for translating business requirements into functional requirements, collaborating with stakeholders to build data solutions, mentoring analysts, and driving project delivery. Hybrid work model (3 days in office/2 days remote).

As an Advisory Solution Consultant at ServiceNow, you will support go-to-market solution sales within the Financial Services industry by providing technical expertise and guiding revenue for Employee Workflow solutions. Responsibilities include leading discovery workshops, providing product demonstrations, answering technical questions, and supporting marketing events. This role requires 7+ years of pre-sales solution consulting experience and proficiency with the ServiceNow platform.

As an Advisory Solution Consultant at ServiceNow, you will support solution sales in the Financial Services industry, guiding revenue for Employee Workflow solutions. Responsibilities include leading workshops, product demonstrations, providing technical expertise, and collaborating with various teams. The role requires 7+ years of pre-sales solution consulting experience and proficiency with the ServiceNow platform.

As a member of the Employee Workflow Solution Consulting team at ServiceNow, you will support go-to-market solution sales within the Financial Services industry. This hands-on technical consultant role involves guiding revenue for an Employee Workflow solution, collaborating with various teams, and achieving sales goals for an assigned territory.

Cloud Playout Systems Engineer responsible for maintaining the technical integrity of Cloud and On-premises broadcast playout at Origination Centers. Providing technical support for Global Playout Services, multi-channel playout automation systems, and IP Network connectivity. Collaborating with vendors and internal departments for hardware/software support and ensuring service levels are met.

As a Sr. Engineer, Virtual Applications Delivery at Warner Bros. Discovery, you will be responsible for architecting, designing, installing, configuring, and maintaining virtual desktop platforms. Your role includes supporting various business stakeholders and workloads across global locations. You will need a unique blend of business and technical acumen to succeed in this role.

As a Manager of Data Engineering at Warner Bros. Discovery, you will be responsible for leading efforts to scale existing data offerings and establish technical strategies for the Data Platform. You will optimize the technical ecosystem by leveraging your engineering, infrastructure, data, and cloud knowledge. The role requires deep technical expertise, collaboration skills, and experience in infrastructure-as-code, data lake management, AI/ML, and Analytics.

Head of Data responsible for leading centralized Data functions for Square including Data Science + Analytics, Machine Learning, and Data Engineering teams. Architect of Square's Data strategy and drive strategic direction and technical roadmap for Square's data platform.

As a Senior Workday Integration Engineer at Block, you will be responsible for leading the design, development, testing, and delivery of new Workday Integrations. You will shape integration architectural strategy for Workday, work with stakeholders to define requirements, and create a seamless ecosystem of integrated products.

Cash App is looking for an Android Software Engineer to join the Banking Mobile Engineering team. The engineer will work on building end-to-end features for banking services, crafting well-tested code, inventing Android tech, and re-architecting legacy code for future scalability.

Develop, integrate, and validate full vehicle motorsports multibody models for NASCAR teams, analyze test data, and issue correlation reports. Master's degree in Mechanical Engineering, Automotive Engineering, or Aerospace Engineering required.

Design and build digital products for customer account management by defining architecture, driving implementation, and providing technical leadership. Lead a strong engineering team to instill best practices for reliable and scalable platform development. Enhance capabilities for a large-scale application and identify opportunities for technological advancement.

Design and build digital products for customer-centric data applications, provide technical leadership, and drive technical strategy for Digital Products Engineering organization.

Seeking an experienced Staff Machine Learning Engineer - MLOps Platform to join the Machine Learning team at Realtor.com. Responsible for designing data pipelines, enhancing infrastructure, optimizing model performance, and collaborating with product and engineering teams. Requires experience in Python, R, Spark, SQL, AWS, Kubernetes, and MLOps frameworks.