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
- Lead DevOps and site reliability engineering (SRE) for a cloud-ready POS platform, ensuring high availability during peak retail periods and store rollouts
- Own 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
- Lead incident management and rapid troubleshooting (triage, mitigation, root cause analysis), and drive post-incident improvements to prevent recurrence
- 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
- Mentor engineers and lead cross-team stakeholder communication on release status, risks, and operational health
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
- Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
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
- 6+ 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
