DevOps Engineer

Deloitte • United State
Remote
This Job is No Longer Active This position is no longer accepting applications
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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