Cyber Operate Manager - GCP Cloud DevOps Engineer

As a Lead Managed Services Engineer II on the Cyber Operate team, you will be responsible for:

• Design, build, and maintain Terraform modules and infrastructure-as-code workflows across development, test, staging, and production environments.
• Provision and operate Google Cloud Platform (GCP) services, including Cloud Run, BigQuery, Cloud Storage, Firestore, Identity and Access Management (IAM), Secret Manager, Google Cloud Load Balancing, Google Kubernetes Engine (GKE), virtual private clouds (VPCs), subnets, firewall rules, private connectivity, Domain Name System (DNS), and Secure Sockets Layer (SSL) certificates.
• Develop continuous integration and continuous delivery (CI/CD) pipelines, infrastructure versioning, automated code-review processes, governance controls, and deployment strategies for infrastructure and applications.
• Implement monitoring, alerting, logging, observability, high availability, and disaster recovery practices; investigate production incidents and document root-cause findings.
• Create operational runbooks, architecture documentation, and support procedures for managed cloud environments.
• Partner with data engineering and AI/ML teams to support infrastructure for data platforms and AI workloads, including Vertex AI Agent Engine, Vertex AI Search, and Model Armor.

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to mentor and provide clear guidance to others, Required 6+ years of experience in:
• Experience with Terraform module development and Google Cloud Platform (GCP) infrastructure provisioning across development, test, staging, and production environments.
• Experience configuring Cloud Run, BigQuery, Cloud Storage, Firestore, Secret Manager, Google Cloud Load Balancing, Google Kubernetes Engine (GKE), Identity and Access Management (IAM), virtual private clouds (VPCs), subnets, firewall rules, private connectivity, Domain Name System (DNS), and Secure Sockets Layer (SSL) certificates.
• Experience developing continuous integration and continuous delivery (CI/CD) pipelines with Cloud Build or GitHub Actions for infrastructure and application deployments, including version control, code review, and deployment processes.
• Experience using Cloud Monitoring for monitoring, alerting, logging, and observability; production incident investigation; operational runbook development; and architecture documentation.
• Experience building application programming interfaces (APIs) or data connectors using Python, Cloud Functions, or Cloud Run; and supporting data platforms using BigQuery, Dataflow, Pub/Sub, Cloud Storage, or Cloud Composer.
• Experience supporting infrastructure for Vertex AI Agent Engine, Vertex AI Search, or Model Armor.
• Experience configuring IAM policies, service accounts, and security controls for cloud infrastructure.
• You must reside within a commutable distance of your assigned office with the ability to commute daily, if required, without the need for overnight accommodations.
• You can expect to co-locate on average 1 day/week times a week with variations based on types of work/projects and client locations.
• Ability to travel 20-25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.

Preferred:

• Master’s degree
• Google Cloud Professional Cloud DevOps Engineer certification
• HashiCorp Certified: Terraform Associate certification
• Experience supporting identity lifecycle management, security operations, threat intelligence, or application security.

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 $134,500 to $265,100.

Deloitte is seeking a Lead Managed Services Engineer II to design, automate, and operate enterprise-scale cloud capabilities that support clients’ critical cyber assets. In this role, you will apply Google Cloud Platform (GCP), Terraform, infrastructure as code, and DevOps practices to build secure, scalable, and reliable solutions. You will collaborate with Cyber Operate, data engineering, and artificial intelligence and machine learning (AI/ML) teams to support evolving client needs, operational excellence, and secure cloud delivery.