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