Sr. Manager, Software Development

BS, MS, MBA, or Ph.D. in Computer Science or related technical discipline

12+ years working in software engineering in building modular or headless applications at scale with the highest quality, security, and availability

7+ years leadership experience in engineering or similar technical leadership experience

Experience with architectural design recommendation and guidance

Demonstrated experience leading the design, development, delivery, and maintenance of large scale and high-performance platforms

Software development experience building enterprise SaaS cloud-based solutions

Experience in an Agile/Scrum environment

Knowledge of release management and deployment workflow processes, from development release through production deployment

Exceptional interpersonal skills with a proven ability to build productive cross-departmental relationships and motivate team members

A positive, can-do attitude and value collaboration are a must

Experience with object-oriented code, C++, C#, Python, PostgreSQL, Front End Web, Web Services, SQL/No SQL Databases, event-driven microservices, Microfrontends, SPAs.

Integrations tools experience like Mulesoft/Tibco/Workato.

Technical expertise that enables meaningful conversations with product architects & engineers.

Hands-on experience designing, developing, or integrating AI/ML solutions into enterprise applications using modern LLM platforms such as Gemini (Google), Claude (Anthropic), and Microsoft Copilot

Strong understanding of modern AI technologies, including large language models (LLMs), generative AI, NLP, and computer vision, with practical application through platforms like Gemini/Claude/Copilot.

Familiarity with prompt engineering, fine-tuning techniques, and AI-assisted development tools, particularly in the context of LLM-based platforms

Ability to evaluate and identify high-impact AI use cases leveraging using different LLM platform including assessing model performance, scalability, and enterprise integration considerations

Passion for learning, sharing knowledge, mentoring, and working in a team setting with engineers of varying levels of experience

Strong knowledge and practical experience with business strategy, business modeling, technology strategy, and roadmap planning and scenario analysis.

Experience architecting, implementing, and operating large-scale, highly available applications at scale in a cloud environment (GCP, Azure, AWS) using cloud-native technologies and tooling

Developing and implementing technical efforts to design, build, and deploy cloud applications, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics

Participating in all aspects of the software development life cycle for cloud solutions, including planning, requirements, development, testing, and quality assurance

Experience with data systems and data processing, including query processing, cloud-based data systems and analytics, and structured, semi-structured, and unstructured data

Experience in several of the following areas: serverless environments, database architecture, ETL, business intelligence, big data, machine learning, advanced analytics, CI/CD pipelines, infrastructure as code

Strong people management skills to mentor and guide individual team members in their career goals