Lead Engineer Cloud Enablement

About us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

As a lead engineer of Cloud Enablement team (Infrastructure-focused role) you serve as the technical anchor for the engineering team that supports a product. You create own and are responsible for the platform architecture that best serves the product in its functional and non-functional needs. You identify and drive architectural changes to accelerate feature development or improve the quality of service (or both). You have deep and broad engineering skills and are capable of standing up an architecture in its whole on your own but you choose
to influence a wider team by acting as a force multiplier. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
Use your skills experience and talents to be a part of groundbreaking thinking and visionary goals.

As a Lead Engineer on the Cloud Enablement team youll take the lead as you:
Deploy manage and support cloud infrastructure solutions using Cloud services particularly Google Cloud with a strong focus on cloud networking.
Implement best practices for cloud resource provisioning configuration management monitoring and security.
Develop and maintain cloud resources using Infrastructure as Code tools to automate deployment and configuration tasks.
Drive continuous improvement through the adoption of automation and orchestration.
Use your technology acumen to apply and maintain knowledge of current and emerging technologies within specialized area(s) of the technology domain.
Evaluate new technologies and participates in decision-making accounting for several factors such as viability within Targets technical environment maintainability and cost of ownership. Initiate and execute research and proof-of-concept activities for new technologies.
Lead or set strategy for testing and debugging at the platform or enterprise level.
In complex and unstructured situations serve as an expert resource to create and improve standards and best practices to ensure high-performance scalable repeatable and secure deliverables.
Lead the design lifecycle management and total cost of ownership of services.
Provide the team with thought leadership to promote re-use and develop consistent scalable patterns.
Provide suggestions for handling routine and moderately complex technical problems escalating issues when appropriate.
Monitor workflow and risks; play a leadership role in mitigating risks and removing obstacles.
Lead and participate in complex construction automation and implementation activities ensuring successful implementation with architectural and operational requirements met.
Establish new standards and best practices to monitor test automate and maintain IT components or systems.
Stay current with Targets technical capabilities infrastructure and technical environment.
Core responsibilities of this job are described within this job description. Job duties may
change at any time due to business needs.

About you:
Bachelors degree in computer science Engineering or a related field or equivalent practicalexperience.
9 years of software engineering experience with a strong focus on Google Cloud Platform (GCP) cloud-native platforms and distributed systems.
Deep hands-on expertise across Google Cloud Platform services including IAM
Organizations/Folders/Projects Compute Engine GKE Cloud Storage Cloud
SQL/Spanner/Bigtable VPC networking Load Balancing Cloud DNS Pub/Sub Cloud Run serverless services Cloud Operations and cloud security best practices.
Strong software development experience in Go (GoLang) with proven expertise building scalable microservices cloud-native applications APIs platform services automation frameworks and developer tooling.
Proven experience designing and developing highly available scalable and resilient distributed systems running on Google Cloud.
Experience implementing Infrastructure as Code (IaC) using Terraform Pulumi Crossplane or similar technologies to provision and manage cloud infrastructure.
Strong understanding of cloud architecture networking identity and access management security observability governance and cloud cost optimization on GCP.
Experience with containerization technologies such as Docker and Kubernetes (preferably GKE) is highly desirable.
Experience with Site Reliability Engineering (SRE) principles including reliability engineering production operations monitoring incident management and service performance optimization is an added advantage.
Experience with observability platforms and tools such as OpenTelemetry Google Cloud Operations Suite Prometheus Grafana Splunk Datadog or similar.
Solid understanding of Linux systems containers virtualization networking DNS load balancing and cloud-native runtime environments.
Demonstrated ability to analyze and optimize system scalability performance reliability security and operational excellence.
Excellent collaboration and communication skills with the ability to partner effectively across engineering architecture product and platform teams.