Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced
Cloud 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
Cloud Platform Engineering: Design, implement, and manage core cloud infrastructure and services on AWS and GCP, focusing on compute, storage, networking, security, and identity management.
Infrastructure as Code (IaC): Develop, maintain, and optimize cloud infrastructure using IaC tools such as Terraform, CloudFormation (AWS), and Deployment Manager (GCP). Create reusable modules and blueprints to standardize deployments.
Automation & Orchestration: Automate the provisioning, configuration, and management of cloud resources and services. Develop scripts and tools (e.g., Python, Go, Bash) to streamline operational tasks and improve efficiency.
Containerization & Orchestration: Implement and manage containerization technologies (Docker) and orchestration platforms (Kubernetes, e.g., Amazon EKS, Google Kubernetes Engine) to support cloud-native application deployments.
Site Reliability Engineering (SRE): Embrace a "you build it, you run it" mindset. Take ownership of the reliability, performance, and availability of the cloud platforms and services you build. Implement robust monitoring, alerting, and logging solutions, and participate in on-call rotations to ensure rapid incident response and resolution.
Security & Compliance: Implement and enforce cloud security best practices, ensuring compliance with Citi's policies, industry standards, and regulatory requirements. Configure IAM roles, network security groups, firewalls, and encryption.
CI/CD Pipeline Integration: Collaborate with development teams to integrate cloud infrastructure provisioning and management into CI/CD pipelines, enabling automated and continuous delivery.
Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for cloud architectures, configurations, and operational procedures. Mentor junior engineers and contribute to knowledge sharing within the team. 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
T
he 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.
Our AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.
Required Qualifications
3+yrs as a Cloud Engineer, DevOps Engineer, or SRE in a mid-level or senior capacity.
3+yrs hands-on experience with public cloud platforms, specifically AWS and/or Google Cloud (GCP).
Infrastructure as Code (IaC) Hands-on Expertise: Demonstrable experience with the following:
Programming Languages: Python and Go.
CI/CD: Terraform, Harness, Tekton, Jenkins, etc.
Test Automation: Terratest, Cucumber, Pytest-BDD, AWS Fault Injection Simulator (FIS), Chaos Mesh, etc.
Solid understanding and experience with containerization technologies (Docker) and orchestration platforms(Kubernetes)
Experience implementing and managing CI/CD pipelines.
Strong understanding of networking concepts (VPC, subnets, routing, firewalls), security best practices, and IAM in a cloud environment.
Experience with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, Splunk, ELK stack, CloudWatch,(Stackdriver).
A strong commitment to Site Reliability Engineering (SRE) principles and practices, including operational ownership
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
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
Preferred Qualifications
Public cloud provider certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Google Cloud Professional Cloud Architect, Google Cloud Professional DevOps Engineer).
Experience with serverless computing (e.g., AWS Lambda, Google Cloud Functions).
Familiarity with configuration management tools like Ansible.
Experience with database services (relational and NoSQL) in the cloud.
Knowledge of disaster recovery and business continuity strategies in a multi-cloud environment.
Experience with GitOps principles and tools.
Analytical/ Decision Making Responsibilities
Analytical ability to manage multiple projects and prioritize tasks into manageable work products
Can operate independently or with minimum supervision
Excellent Written and Communication Skills
Ability to deliver technical demonstrations
ATS Match is available
1) Upload your resume. 2) Open any job and click Check ATS Match to see your fit score.