Level

Target

Sr Engineer - Cloud Enablement

Target is hiring a Sr Engineer - Cloud Enablement in Bengaluru, India. Level rates it ; you can apply on Target.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classes it as a senior role.
  • Target has 11,000+ other open roles on Level.

AI in this role

About Us:


As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn’t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.
 

Target Tech Overview:

Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities.
 

Our global in-house technology team of more than 5,000 of engineers, data scientists, architects, coaches and product managers strive to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on diversity and inclusion, experimentation and continuous learning.


Pyramid Overview:

The Cloud Enablement team builds and operates the foundational public cloud platform that engineering teams across Target rely on to deliver at enterprise scale. Working primarily on Google Cloud Platform (GCP), the team owns a hardened, standardized cloud foundation spanning compute, Kubernetes, storage, networking, and identity — the core building blocks that power Target's digital and data-driven experiences. Our mission is to make cloud simple, secure, and cost-effective to consume: we design the opinionated patterns, policies, and guardrails that keep workloads safe and reliable, and we build the APIs, automation, and self-service tooling that let teams adopt and scale cloud services with confidence. Following an infrastructure-as-code philosophy, we treat repeatability, resilience, and security as first-class engineering outcomes rather than afterthoughts. We partner closely with platform and product teams to onboard new workloads, drive cloud cost stewardship, and continuously raise the bar on operational excellence, availability, and readiness for our highest-traffic events. As a lead engineer on this team, you'll help shape cloud strategy, architect platform capabilities and tooling, and set technical direction that multiplies the productivity of engineers across the company — a high-impact role at the center of how Target builds in the cloud.


As a Senior Engineer on the Cloud Enablement team, you'll contribute:

 

What You’ll Do

  • Design, build, deploy, and support scalable cloud platform capabilities using cloud services, preferably Google Cloud Platform (GCP), with a strong focus on reliability, security, automation, and developer experience in Golang.
  • Implement cloud engineering best practices across resource provisioning, configuration management, monitoring, observability, security, governance, and cost optimization.
  • Develop and maintain cloud infrastructure and platform services using Infrastructure as Code (IaC) technologies to automate infrastructure deployment and configuration.
  • Build and maintain APIs, automation services, and operational tooling that simplify cloud operations and improve engineering productivity.
  • Drive continuous improvement by adopting and advancing automation, orchestration, GitOps, self-service tooling, and reusable platform patterns.
  • Apply your technical expertise and stay current with emerging technologies and practices across cloud computing, Kubernetes, platform engineering, and DevOps.
  • Evaluate new technologies and contribute to technical decision-making. Initiate and execute research and proof-of-concept activities to assess new technologies and approaches.
  • Provide technical guidance for both routine and complex engineering challenges, including troubleshooting issues across cloud infrastructure, networking, IAM, CI/CD, observability, monitoring, logging, and tracing. Escalate issues when appropriate.
  • Participate in complex design, construction, automation, migration, and implementation initiatives, ensuring solutions meet architectural, security, compliance, and operational requirements.
  • Establish and evolve engineering standards and best practices for monitoring, testing, automation, security, and maintenance of cloud platform components, infrastructure services, and shared engineering capabilities.
  • Maintain a strong understanding of the organization’s technical capabilities, cloud infrastructure, platform services, and broader technology environment.

 

Required Qualifications

  • Four-year degree or equivalent practical experience.
  • 6+ years of experience in software development (Golang), cloud engineering (Google Cloud), platform engineering, DevOps, Site Reliability Engineering (SRE), or infrastructure engineering, with a focus on cloud services.
  • Strong domain knowledge of cloud platforms, including account/project management, compute, storage, databases, networking, serverless technologies, IAM, security, observability, and cost management.
  • Hands-on experience with Infrastructure as Code technologies such as Terraform, Pulumi, Crossplane, or similar tools.
  • Experience developing APIs, automation, and operational tooling using Golang, Python, and Bash scripting.
  • Familiarity with containerization and orchestration technologies including Docker, Kubernetes, and managed Kubernetes platforms such as Google Kubernetes Engine (GKE).
  • Experience with observability, monitoring, logging, and tracing technologies such as OpenTelemetry, Grafana, Prometheus, Google Cloud Operations, Splunk, Datadog, or similar platforms.
  • Familiarity with Linux environments, virtual machines, containers, networking, DNS, load balancing, and cloud-native runtime environments.
  • Ability to communicate and coordinate effectively with project teams, application teams, partners, and stakeholders.
  • Strong expertise in analyzing and optimizing system capacity, performance, reliability, scalability, security, and operational health.
  • Experience building highly scalable distributed systems, internal developer platforms, automation frameworks, or shared cloud platform services.

Know More About Us Here:


 

How we rate this

Sr Engineer - Cloud Enablement at Target rates 31 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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