DevOps Engineer

Deloitte • United State
Remote
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AI Summary

Highly experienced DevOps Engineer sought to design and operate cloud infrastructure, implement CI/CD pipelines, and drive release engineering for a cloud-ready POS platform. Key responsibilities include developing infrastructure-as-code, ensuring high availability, and enabling observability. Bachelor's degree in Computer Science or equivalent experience required.

Key Highlights
Cloud infrastructure design and operation
CI/CD pipeline creation and execution
Release engineering and deployment
Key Responsibilities
Provide DevOps and site reliability engineering for a cloud-ready POS platform
Create CI/CD pipeline strategy and execution
Drive release engineering and rollout readiness for phased store deployments
Design and operate cloud infrastructure in AWS/Azure/GCP
Implement and manage container platforms (Docker, Kubernetes)
Build infrastructure-as-code (IaC) using Terraform and/or CloudFormation
Enable observability
Automate operational workflows to reduce manual toil
Technical Skills Required
DevOps CI/CD Cloud infrastructure (AWS/Azure/GCP) Containers (Docker, Kubernetes) Infrastructure-as-code (Terraform, CloudFormation) Observability
Benefits & Perks
Opportunity to work with a globally recognized company
Limited immigration sponsorship available
Ability to work remotely (10% travel required)

Job Description


Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced DevOps Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work You'll Do/Responsibilities

  • Provide DevOps and site reliability engineering (SRE) for a cloud-ready POS platform, ensuring high availability during peak retail periods and store rollouts
  • Create CI/CD pipeline strategy and execution (build, test, security scans, deploy), enabling frequent, low-risk releases across environments
  • Drive release engineering and rollout readiness for phased store deployments, including cutover planning, rollback strategy, and change coordination
  • Design and operate cloud infrastructure in AWS/Azure/GCP, including networking, identity/access, and environment standardization
  • Implement and manage container platforms (Docker, Kubernetes), including cluster operations, scaling, upgrade paths, and workload reliability
  • Build infrastructure-as-code (IaC) using Terraform and/or CloudFormation to ensure repeatable, auditable environments
  • Enable observability: logging, metrics, tracing, dashboards, alerting, and service-level objectives (SLOs) aligned to checkout performance and uptime
  • Automate operational workflows (environment provisioning, smoke checks, health checks, backups, runbooks) to reduce manual toil
  • Partner with engineering, security, and operations on DevSecOps practices (secrets management, vulnerability management, policy-as-code) and secure-by-default deployments

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Qualifications

Required

  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • 3+ years of proven CI/CD and release engineering
  • Strong hands-on cloud experience with AWS, Azure, or GCP
  • Containers and orchestration experience (Docker and Kubernetes)
  • Infrastructure-as-code expertise (Terraform and/or CloudFormation)
  • Proven experience with observability, incident management, and operational excellence practices
  • Strong security/DevSecOps background (secure pipelines, access controls, vulnerability management)
  • Demonstrated technical leadership across teams and stakeholders
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

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