Position Summary
Delivery Management - Delivery Management Engineer II - AI & Engineering
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
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.
Recruiting for this role ends on 8/1/2026.
Work You'll Do
As a Delivery Management Engineer II you will have hands-on technical skills as well as program and project management experience to drive technical projects and programs working directly with our onshore and offshore development and engineering teams. You'll bring a mix of hands-on technical expertise with the ability to drive projects to completion managing onshore and offshore teams. You will work directly with engineering teams, assisting with product and service delivery for AI, GenAI, and Cloud platform programs. You'll have full life-cycle project experience with specific technical skills enabling you to be a valued technical member of our engineering teams.
- Product & Service Lifecycle Management: you will work with our product or service delivery teams for AI, GenAI, and Cloud platform programs; engaging with engineering teams.
- CI/CD Pipeline Design & Automation: you will design and optimize CI/CD pipelines with cloud-native and open-source tools.
- Technical Project/Program Management: you will help manage technical programs/projects with your structured planning, reporting, and risk management skills.
- Requirements Management / Business Analysis: you will handle requirements documentation (FSDs), mapping business needs to technical solutions, and stakeholder communications.
- Containerization & Orchestration: you will managing platforms like Kubernetes, Docker, ECS/EKS (multi-cloud preferred).
Qualifications - Required Skills and Experience
- 4+ years' experience in CI/CD pipeline design and automation with a proven track record designing and optimizing CI/CD pipelines with cloud-native and open-source tools.
- Containerization & Orchestration - experience managing platforms like Kubernetes, Docker, ECS/EKS (multi-cloud preferred).
- Infrastructure as Code (IaC) experience - 3+ years' experience in Terraform, with exposure to related monitoring/deployment tools such as Dynatrace, Splunk.
- 4+ years' experience in product and lifecycle management with experience leading product or service delivery.
- 4+ years' experience as a technical program or project manager which should include structured planning, reporting, and risk management responsibilities.
- 4+ years' experience in requirements documentation (FSDs), mapping business needs to technical solutions, and stakeholder communications.
- 4+ years' experience with Git workflows, GitHub/GitLab automation, and best practices for source control.
- 4+ years' experience driving proactive collaboration between PMOs, executives, technical partners, and DevOps teams.
- Bachelor's degree in computer science, software engineering, information technology or a related field.
- Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Qualifications - Preferred Skills and Experience:
- Strong fluency in Python scripting for automation, integrations, and tooling customization.
- Release Train Engineering (RTE): Experience in environment oversight, migration, release management, and roadmap coordination in scaled agile settings.
- 3+ years' experience in Cloud Program Management with hands-on expertise with cloud infrastructure provisioning and automation (AWS, Azure, GCP).
- 3+ years' experience with DevSecOps including automated security assessment, remediation, and compliance in CI/CD pipelines and cloud environments.
- Multi-Platform Cloud Integration experience, bridging AWS, Azure, and GCP platforms for modernization or migration projects.
- Incident management and backlog oversight experience with skills around production support, incident resolution, and backlog refinement.
- Knowledge of designing, securing, and implementing APIs for automating business and compliance processes.
- Agile delivery experience, scrum certification, proficiency in Jira/Confluence, user story creation, requirements gathering, and backlog management.
Wages and Salary
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,400 to $170,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, the individual, and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
