04503 HD - Developer & Infrastructure Expert

Cephas Consultancy Services Private Limited; California (MO); Hybrid; USD 83,000 - 165,000; Full time

Job summary

Cephas Consultancy Services Private Limited is seeking a Developer & Infrastructure Expert for remote work in the United States, with a contractor role and a 10-position project scope. The work centers on evaluating AI-powered developer and infrastructure workflows and providing actionable feedback from your domain expertise.

You will test AI-assisted workflows across AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD tools, documenting observations and collaborating asynchronously while

Qualifications

• Proven expertise in software engineering, DevOps, SRE, cloud, platform, or infrastructure domains.
• Hands-on experience with Azure DevOps, AWS, GCP, Kubernetes, Docker, Terraform, CI/CD tools, and observability frameworks.
• Familiarity with developer platforms and workflow management tools such as GitHub, GitLab, and JIRA.

Responsibilities

• Test and validate AI-assisted workflows for developer and infrastructure tasks using GitHub, GitLab, JIRA, AWS, Azure, GCP, Kubernetes, Docker, and Terraform.
• Document observations, identify discrepancies, and provide detailed feedback based on professional experience.
• Evaluate how AI agents interact with connected platforms and workplace tools, and flag potential issues.

Skills

Software engineering

DevOps

SRE

Cloud

Platform

Infrastructure

Tools

Azure DevOps

AWS

GCP

Kubernetes

Docker

Terraform

CI/CD tooling

Observability

GitHub

GitLab

JIRA

Job description

04503 HD - Developer & Infrastructure Expert

Cephas Consultancy Services Private Limited Permanent Remote Work, California, United States

About this position

Positions:10 Contract
Experience
5 - 30 Years

Role Type: Contractor

Location: Remote

We are engaging Developer & Infrastructure Experts to contribute to a customer's project evaluating AI-powered developer and infrastructure workflows. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

Test and validate AI-assisted workflows for developer and infrastructure tasks using tools such as GitHub, GitLab, JIRA, AWS, Azure, GCP, Kubernetes, Docker, and Terraform. Assess the accuracy and relevance of AI-generated commands, configurations, and outputs within cloud and platform engineering contexts. Document observations, identify discrepancies, and provide detailed feedback based on your professional experience. Evaluate how well AI agents interact with connected platforms and workplace tools, such as Slack, Google Drive, and Microsoft 365.Collaborate asynchronously by submitting written evaluations and participating in virtual discussions to clarify workflow requirements. Recommend enhancements and flag potential issues in AI-driven processes, with a focus on real-world applicability and industry standards. Maintain clear written and verbal communication in all feedback and interaction with project stakeholders.

Preferred Qualifications

Proven expertise in software engineering, DevOps, site reliability engineering (SRE), cloud, platform, or infrastructure domains.

Hands-on experience with Azure DevOps, AWS, GCP, Kubernetes, Docker, Terraform, CI/CD tools, and observability frameworks.

Familiarity with developer platforms and workflow management tools such as GitHub, GitLab, and JIRA.

Professional experience using AI agents (e.g., ChatGPT, Claude Code, Claude Cowork, Codex) in conjunction with development and infrastructure tools.

Demonstrated ability to evaluate technical processes and provide actionable feedback.

Strong skills in both written and verbal communication, with particular care for clarity and thoroughness.

Experience integrating or working with workplace connectors and automation tools considered a plus.