Platform Cloud Engineer - 1 year contract - 80/hr - REMOTE

ContractStaffingRecruiters.com; Stamford (CT); Hybrid; USD 120,000 - 150,000; Full time

Job summary

ContractStaffingRecruiters.com is seeking a Platform Cloud Engineer to focus on technical leadership in delivering AI and machine learning solutions. The candidate will be responsible for integrating production-grade capabilities and mentoring junior engineers.

The position requires extensive experience in software engineering, including Kubernetes, Terraform, and the full Software Development Life Cycle. Collaboration with cross-functional teams is essential to ensure successful implementation of scalable cloud-based solutions.

Qualifications

• Typically requires 12 years of relevant experience or 10 years with an advanced degree.
• 5+ years of experience with data science and machine learning.
• Experience with Software Development Life Cycle and Python.

Responsibilities

• Collaborate with technical leadership and stakeholders to enhance data capabilities.
• Lead efforts to integrate APIs, SDKs and automate cloud-based solutions.
• Design, write, test, and deploy scalable software solutions.

Skills

Kubernetes/K8s

Terraform

Data science

Machine learning

Python

Education

University Degree or equivalent experience

Tools

AWS

Azure

SQL

Node

REST APIs

Job description

Platform Cloud Engineer

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.

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.
• 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.

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.
• They’re also looking to introduce Vault with Kubernetes so any experience there would be a plus.