Director of Software Engineering

2 days ago

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Logo of Problem Solutions

Problem Solutions

Learning Technology • Training and Simulations • Web and Mobile Applications • Business Strategy • Human Centered Design (HCD)

11 - 50 employees

Founded 2003

☁️ SaaS

🏢 Enterprise

Description

• Oversee and manage the engineering team, lead internal product initiatives, and ensure business alignment. • Engage in long-term projects with existing clients and partnerships, ensuring high-quality, reliable solutions tailored to client needs. • Lead the development of new AI-driven products, emphasizing rapid development and delivery to market. • Provide architectural leadership and guidance to both internal teams and external clients across both consulting and AI product development efforts. • Collaborate with Operations to coordinate team resourcing across consulting and product areas, ensuring appropriate staffing for all initiatives. • Act as a technical consultant to clients, providing architecture and software development expertise in custom engagements. • Implement and improve engineering processes and best practices to enhance the quality and efficiency of software delivery across both consulting and AI product areas.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • 10+ years of experience in software engineering, with at least 5 years in a leadership role. • Proven experience delivering AI-driven products in a fast-paced environment. • Strong experience with long-term custom software development projects and client engagements. • Deep knowledge of software architecture, design patterns, and scalable system design. • Strong experience with cloud platforms, with deep knowledge of Azure, and experience with AWS, GCP, and OCI. • Hands-on experience with containerization, orchestration, and CI/CD pipelines. • Excellent leadership, communication, and organizational skills. • Experience with agile development practices and DevOps principles. • Preferred: Experience working in AI, machine learning, or data science-driven product development. • Prior experience in a client-facing role, providing technical guidance and architecture consulting.

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