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Are you ready to support the data platform and services that enhance reporting, analytics, and customer self-service experiences at Spectrum? As a Mgr, Applied AI and Data Science, you will guide talented professionals in building both customer-facing and back-office software, ensuring quality and consistency throughout the development process. If you thrive on driving results and fostering growth, this role offers the opportunity to influence the future of technology at Spectrum and support the development of innovative products and systems.
Job Responsibility:
Manage development team that operates cross-functionally with product, operations, and testing teams to ensure quality and timely code delivery
Provide team support and direction on shifting priorities for new and existing projects as well as enterprise initiatives
organize and delegate work
Implement software proposals and estimate scope of work
Plan and align resources to partner closely with cross functional teams on resource allocation, budget implications and timeline considerations
Serve as escalation point for internal partners to resolve roadblocks and mitigate risks to ensure successful on-time software product delivery
Ensure adequate documentation is created
Provide input to management regarding technical issues, strategic planning of projects, system operations, and new software development and deployment
Develop a collaborative culture that embodies both industry best practices and Spectrum values
Experiment with new technologies to ensure scalability for the future
Requirements:
Bachelor’s college degree or related work experience
5+ years telecommunications, product and/or equivalent experience
2+ years of software engineering team management experience
2+ years of distributed computing software development experience
Experience developing distributed software operating in JVM and on Linux
Experience leading people and projects to a successful, high impact outcome
Ability to read, write, speak and understand English
Demonstrated understanding of reactive platforms like Akka, Node.JS, Play, etc.
Exposure to GraphQL based APIs
Demonstrated understanding of public cloud infrastructure services capabilities such as AWS
Demonstrated understanding of modern microservices architectures employed at web scale
Ability to operate customer facing production services at web scale, 24/7/365
Demonstrated understanding of DevOps principles and practices
Effective communication skills: Listening, verbal and written
Ability to analyze and resolve issues, both logical and interpersonal
Demonstrated effective communications skills including presentation skills
Ability to plan, prioritize and organize effectively
Nice to have:
Proven experience in agile software development, including leadership of agile teams and a solid understanding of agile ceremonies
Demonstrated background in developing and managing AI-driven solutions
In-depth knowledge of Agentic AI architecture and adherence to industry standards
Extensive experience with Continuous Integration and Continuous Delivery practices
Comprehensive understanding of Test-Driven Development (TDD) principles and a strong focus on automated testing
Strong expertise in software architecture patterns and their practical implementation