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AI Infrastructure engineer

Accenture

AI Infrastructure engineer

Accenture

·

Remote

·

Full-time

·

4d ago

Compensation

€54,600 - €89,440

Benefits & Perks

Healthcare

Flexible Hours

Remote Work

Learning

Required Skills

Docker

Kubernetes

Terraform

Ansible

SQL

Linux

An AI Infrastructure Engineer to build, deploy, and maintain robust infrastructure solutions within cloud environments, tailored for AI and machine learning workloads. This role involves a mix of innovative infrastructure design, hands-on deployment, and meticulous maintenance to ensure operational excellence in AI-powered applications.

Benefits:

  • Competitive salary 2625 - 4300 EUR gross
  • Flexible vacation + health & travel insurance + relocation
  • Work from home, flexible working hours
  • Work with Fortune 500 companies from different industries all over the world
  • Skills development and training opportunities, company-paid certifications
  • Opportunities to advance career
  • An open-minded and inclusive company culture

Key responsibilities:

  • Architect and deploy cloud infrastructure solutions that are secure, scalable, and optimized for AI and machine learning workloads.
  • Collaborate with AI teams to understand computational needs and translate these into infrastructure requirements.
  • Monitor, manage, and optimize cloud resources to maximize performance and minimize costs.
  • Design and implement continuous integration and delivery pipelines for AI applications.
  • Develop automation scripts and infrastructure as code to streamline deployment and management tasks.

Required Qualifications:

  • Good knowledge of cloud computing delivery models (IaaS, PaaS, and SaaS) and deployment models related to Public, Private and Hybrid Cloud service
  • Proficient in Linux/UNIX or Windows environments, including scripting and administration.
  • Familiarity with cloud data services and big data processing tools.
  • Bachelor’s degree in Computer Science or Software Engineering
  • 4+ years of relevant work experience in solutions design and engineering, Experience with containerization (Docker, Kubernetes) and cloud service providers (AWS, Azure, GCP).
  • Strong automation development skills. Needs to be proficient in one or more automation languages i. e. Ansible, Cloud Formations, Chef, Puppet, Terraform.
  • Strong background in network architecture, database programming (SQL/NoSQL), and data modeling.
  • Deep understanding of cloud component architecture: Microservices, Containers, IaaS, Storage, Security , Knowledge of routing/switching technologies.

Desired Qualifications:

  • Detailed understanding of cloud automation and orchestration approaches and tools
  • Experience with infrastructure as code (Terraform, CloudFormation) and automation tools (Ansible, Chef, Puppet).
  • Knowledge of monitoring and logging tools (Prometheus, ELK, Grafana).
  • 4+ years relevant experience of end-to-end Cloud Migration and transformation and solutions design and engineering
  • Ability to lead a project from conception through design and implementation
  • Experience in multi-tier traditional application architectures and in service decomposition and micro services
  • Possession of a professional cloud certification and excellent oral and written communication skills in English.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 750,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

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About Accenture

Accenture

Accenture

Public

Let there be change.

10,001+

Employees

Dublin

Headquarters

Reviews

4.0

10 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.2

Career

4.1

Management

4.0

75%

Recommend to a Friend

Pros

Great learning and development opportunities

Supportive and collaborative work environment

Good career growth and networking opportunities

Cons

Need to be proactive in finding projects

Long hours during busy periods

Very competitive environment for advancement

Salary Ranges

33 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$63,830

total / year

Base

$25,532

Stock

$31,915

Bonus

$6,383

$44,681

$82,979

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

17%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Task-Based Interview

4

Final Interview

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study