Cloud Engineer - REMOTE - 80/HR

ContractStaffingRecruiters.com; Branford (CT); Remote; USD 130,000 - 160,000; Full time

Job summary

ContractStaffingRecruiters.com is looking for a Senior Technical Leader to integrate and deliver AI and machine learning capabilities. This role requires strong hands-on software engineering skills and experience with cloud-based solutions that utilize LLMs, MLOps, and automation.

The ideal candidate will have at least 12 years of relevant experience, with expertise in Kubernetes and Terraform. You will work closely with cross-functional teams, mentoring junior engineers and guiding them toward senior roles.

Qualifications

• Minimum 12 years of relevant experience or 10 years with an Advanced Degree.
• 5+ years of experience with data science and machine learning.
• Experience with Python and the Python scientific stack.

Responsibilities

• Collaborate with stakeholders to deliver data capabilities.
• Lead integration of APIs and automation for AI/ML capabilities.
• Design and deploy production-quality software.

Skills

Data science experience

Machine learning experience

Software Development Life Cycle

Python programming

Kubernetes/K8s

Terraform

Education

University Degree or equivalent experience

Tools

AWS

Azure

SQL

Node

REST APIs

Job description

This role is a senior technical leadership position responsible for integrating and delivering production‑grade AI, machine learning, and data capabilities. The position combines hands‑on software engineering with system‑level design, leading end‑to‑end development of scalable, cloud‑based solutions that leverage LLMs, MLOps, and automation. Working closely with cross‑functional stakeholders, the role balances near‑term delivery with long‑term strategy while mentoring engineers and promoting strong engineering best practices. Kubernetes/K8s experience is a required skill, as is Terraform.

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 build 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.
• 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.
• Kubernetes/K8s experience is a required skill, as is Terraform.

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.
• Experience with Vault in Kubernetes—such experience would be a plus.