Description

What You Will Do:

• 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.

Qualifications You Must Have:

• 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.

Qualifications We Prefer:

• 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.
• Kubernetes/K8s experience is a required skill, as is Teraform.
• They’re also looking to introduce Vault with Kubernetes so any experience there would be a plus

Key Skills

Education

Any Graduate