[Remote] PLATFORM CLOUD ENGINEER - REMOTE
Note: The job is a remote job and is open to candidates in USA. Dice is a recruiting company seeking a Platform Cloud Engineer for a senior technical leadership position. The role involves integrating and delivering production-grade AI, machine learning, and data capabilities while mentoring engineers and promoting 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
Skills
- 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
Company Overview
Company H1B Sponsorship