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Job Details

Skills

(CLOUDOPS) AND (AZURE) AND (LLM) AND (INFRASTRUCTURE) AND (AUTOMATION) AND (CLOUD)

Summary

Position: CloudOps Lead Engineer

Location: Plano, TX (Onsite Role)

Duration: Long term contract

Position Type: W2 Contract

Note: Looking Local Candidates only

Job Description

Role Overview

We are looking for a motivated and hands-on Cloud Ops Engineer to join our team and play a critical role in deploying, operating, and maintaining our cloud-based products. This role is essential to ensuring smooth deployments, high system reliability, and strong operational performance across our environments. The ideal candidate has a strong “want-to-learn” mindset, is eager to deeply understand our ecosystem and architecture, and demonstrates ownership, leadership, and the ability to drive initiatives independently.

Key Responsibilities

Cloud Operations & Deployments
Support and manage cloud deployments to ensure reliable, repeatable, and high-quality releases.
Own day-to-day cloud operational health, including uptime, performance, and stability.
Work closely with engineering teams to support product deployments and operational readiness.
Automation & Scripting
Design, develop, and maintain automation scripts to improve deployment quality, efficiency, and consistency.
Continuously enhance CI/CD and operational workflows through scripting and tooling.
Reduce manual effort and operational risk through automation-first approaches.
Monitoring & System Health
Implement and maintain monitoring, alerting, and logging to ensure system health and performance.
Proactively identify issues, perform root cause analysis, and drive permanent fixes.
Ensure systems are scalable, resilient, and performant.
Architecture & Ecosystem Understanding
Develop a deep understanding of the platform architecture, cloud ecosystem, and dependencies.
Contribute to operational best practices, standards, and continuous improvement initiatives.
Act as a self-starter who can independently identify gaps and propose solutions.
LLM & AI Enablement
Apply Large Language Models (LLMs) in cloud operations use cases such as automation, observability, diagnostics, or operational intelligence.
Stay current with advancements in LLMs and AI-driven tooling and apply them pragmatically within the Cloud Ops domain.
Collaborate with engineering teams to integrate LLM-based capabilities into operational workflows.

Required Skills & Qualifications

Technical Skills

Hands-on experience with cloud platforms (Azure)
Strong scripting skills (e.g., Python, Bash, PowerShell, or similar).
Experience with deployment pipelines, automation, and monitoring tools.
Solid understanding of cloud infrastructure, networking, and application operations.
LLM & AI Experience
Practical experience working with Large Language Models (LLMs).
Familiarity with applying LLMs to engineering or operational workflows is required.
Professional Attributes
Strong desire to learn and deeply understand complex systems.
Self-starter with the ability to take ownership and drive initiatives independently.
Demonstrates leadership, accountability, and problem-solving mindset.
Strong collaboration and communication skills

Tirath Prajapati

Sr. Talent Acquisition Specialist
Amaze Systems Inc

D: +1

E: |

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91132378
Position Id: 9732-13093-1786372263
Posted 1 day ago

Company Info

About Amaze Systems Inc

We strive to be the very best in our industry. We're the Best IT Specialists.
We value our clients and their trust in us and hence, Our IT & Web Consultants don't hesitate to move mountains to give them high quality & innovative digital strategies, without resting, till they get the brand of their dreams.

Our impeccable digital executions has helped several businesses multiply and increase their business enquiries substantially over years making us one of the most preferred online partners.

Our Core Values Confine

image
Customer Experience
Best quality service value to maintain the long-lasting customer relationships
Support and reliability
Efficiency and time adherence
image
Delivery Excellence
Maintain high-standards in every delivery within the timelines
Enhance end-user acceptability
Maintain a healthy operating margin for the project
image
Integrity
Enabling economic growth through support and development services
Respect for individuals and maintaining the honor code
Ethical work practices
image
Practical Innovation
Value for innovation
Respect for new ideas
Innovative approach

Https://amaze-systems.com/

Job Details

Skills

(CLOUDOPS) AND (AZURE) AND (LLM) AND (INFRASTRUCTURE) AND (AUTOMATION) AND (CLOUD)

Summary

Position: CloudOps Lead Engineer

Location: Plano, TX (Onsite Role)

Duration: Long term contract

Position Type: W2 Contract

Note: Looking Local Candidates only

Job Description

Role Overview

Key Responsibilities

Cloud Operations & Deployments
Support and manage cloud deployments to ensure reliable, repeatable, and high-quality releases.
Own day-to-day cloud operational health, including uptime, performance, and stability.
Work closely with engineering teams to support product deployments and operational readiness.
Automation & Scripting
Design, develop, and maintain automation scripts to improve deployment quality, efficiency, and consistency.
Continuously enhance CI/CD and operational workflows through scripting and tooling.
Reduce manual effort and operational risk through automation-first approaches.
Monitoring & System Health
Implement and maintain monitoring, alerting, and logging to ensure system health and performance.
Proactively identify issues, perform root cause analysis, and drive permanent fixes.
Ensure systems are scalable, resilient, and performant.
Architecture & Ecosystem Understanding
Develop a deep understanding of the platform architecture, cloud ecosystem, and dependencies.
Contribute to operational best practices, standards, and continuous improvement initiatives.
Act as a self-starter who can independently identify gaps and propose solutions.
LLM & AI Enablement
Apply Large Language Models (LLMs) in cloud operations use cases such as automation, observability, diagnostics, or operational intelligence.
Stay current with advancements in LLMs and AI-driven tooling and apply them pragmatically within the Cloud Ops domain.
Collaborate with engineering teams to integrate LLM-based capabilities into operational workflows.

Required Skills & Qualifications

Technical Skills

Hands-on experience with cloud platforms (Azure)
Strong scripting skills (e.g., Python, Bash, PowerShell, or similar).
Experience with deployment pipelines, automation, and monitoring tools.
Solid understanding of cloud infrastructure, networking, and application operations.
LLM & AI Experience
Practical experience working with Large Language Models (LLMs).
Familiarity with applying LLMs to engineering or operational workflows is required.
Professional Attributes
Strong desire to learn and deeply understand complex systems.
Self-starter with the ability to take ownership and drive initiatives independently.
Demonstrates leadership, accountability, and problem-solving mindset.
Strong collaboration and communication skills

Tirath Prajapati

Sr. Talent Acquisition Specialist
Amaze Systems Inc

D: +1

E: |

Dice Id: 91132378
Position Id: 9732-13093-1786372263
Posted 1 day ago

Company Info

About Amaze Systems Inc

Senior/Staff FDE with AI/GenAI tools, data products, and custom integrations - Onsite role

Frisco, Texas

•

18d ago

Job Title: Sr. Forward Deployment Engineer withAI/GenAI tools, data products, and custom integrations- Product Based company Job Location- Bellevue, WA / Frisco, TX / Atlanta, GA-(Candidate is required to work from the client's office four days a week) Mandatory Skill Sets-Python, LLM Automation, AI/GenAI tooling (LLMs, RAG, agentic workflows), SQL, Snowflakes, Databricks On Contract About the Role Client is building founding Forward Deployment Engineering team, an

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W2 Contract_CloudOps Lead Engineer_Plano, TX (Onsite Role)

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W2 Contract_CloudOps Lead Engineer_Plano, TX (Onsite Role)

Amaze Systems Inc

Job Details

Skills

Summary

Company Info

About Amaze Systems Inc

Dice Job Match Score™

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