PLATFORM CLOUD ENGINEER - REMOTE

Dice is seeking a Platform Cloud Engineer for a senior technical leadership position responsible for integrating and delivering production-grade AI, machine learning, and data capabilities. The role involves hands-on software engineering and system-level design, leading the development of scalable, cloud-based solutions while mentoring engineers and promoting strong engineering best practices.

Responsibilities:

• Collaborate with technical leadership, product managers, program/project managers, and business stakeholders to support the team as we bring advanced data capabilities
• Be the system integrator for APIs, SDKs, and other automation activities: lead multi-disciplinary efforts to bring advanced AI/ML capabilities through production software and cloud engineering, including generative AI, AIOps, GenOps, MLOps, and ML-augmented engineering. This includes ensuring that capabilities are designed, implemented, maintained, observed, and supported from end-to-end
• Maintain both high level and low-level views of technical systems and coordinate with teams and subject matter experts from other disciplines to realize successful realization
• Design, write, test, and deploy production quality software capabilities that are maintainable, automated (CI/CD), scalable, observable, organized, and readable. Ensure best practices are maintained, including quality and CI/CD automation
• Advise technical support and building of user documentation
• Mentor early and mid-career team members, supporting their ascension to senior and lead roles

Requirements:

• Typically requires a University Degree or equivalent experience and minimum 12 years prior relevant experience, or an Advanced Degree in a related field and minimum 10 years' experience
• Kubernetes/K8s experience is a required skill, as is Terraform
• 5+ years of experience with data science and machine learning
• 5+ years of experience with the Software Development Life Cycle and software application / product development, including Python and the Python scientific stack
• A flexible and patient mindset, interested in working on a variety of multi-disciplinary challenges with varying stakeholders, partners, domains, and toolsets
• Relevant experience with cloud computing platforms (AWS and/or Azure.)
• Organizational skills for knowledge, documentation, and data management
• Other helpful experience: SQL, Node, REST APIs, testing libraries
• Experience building products that use Large Language Models (LLMs) and LLM APIs
• Technical leadership experience, such as being the engineering lead for a program, product, or large project
• Experience as part of a multi-disciplinary team
• Experience with cloud computing