Azure Cloud DevOps Engineer – Data & Automation

PNC Financial Services Group, Inc.

Dallas (Luzerne County)

Presencial

USD 75 000 - 150 000

Tempo integral

Há 2 dias
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Vantagens oferecidas por esta oferta de emprego

Health insurance
401(k) with company match
Pension and stock purchase plans

Resumo da oferta

PNC Financial Services Group, Inc. is seeking a Software DevOps Cloud Engineer to support Azure cloud infrastructure and automation in a data and automation setting.

Based in Strongsville, Dallas, or Pittsburgh, you will help build secure, scalable enterprise solutions and contribute to CI/CD pipelines, IaC, and platform operations. The role targets an early-career engineer with a desire to grow in cloud engineering, DevOps, and operations, working in an in-office environment with strong

Qualificações

  • 2+ years of relevant professional experience in software DevOps/cloud environments.
  • Strong understanding of Azure cloud, DevOps practices, and platform operations.
  • Experience developing and maintaining CI/CD pipelines and IaC implementations.

Responsabilidades

  • Develops, tests and implements software solutions for cloud platforms.
  • Designs software solutions to address business needs and writes code, tests and deploys them.
  • Maintains technical documentation and supports incident response and RCA efforts.
  • Collaborates with senior engineers and cross-functional teams to standardize platforms.

Conhecimentos

Azure DevOps
CI/CD
IaC
Cloud Infrastructure
Monitoring/Security
Team Collaboration

Formação académica

Bachelor's degree

Descrição da oferta de emprego

PNC Financial Services Group, Inc. is seeking a Software DevOps Cloud Engineer to support Azure cloud infrastructure and automation in a data and automation setting.

Based in Strongsville, Dallas, or Pittsburgh, you will help build secure, scalable enterprise solutions and contribute to CI/CD pipelines, IaC, and platform operations. The role targets an early-career engineer with a desire to grow in cloud engineering, DevOps, and operations, working in an in-office environment with strong

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