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Senior Engineer - Full Stack

Senior Engineer - Full Stack

TargetBengaluru, Karnataka, India
9 hours ago
Job description

Job Id : R

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. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.

Target Tech Overview :

Every time a guest enters a Target store or browsesTarget.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.

Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving 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 experimentation and continuous learning. Pyramid & Product Overview : We create enterprise-scale technology solutions that unlock value for Target’s team members, guests, and suppliers . Millions of guests reach out to theService Centersfor assistance every year, and our engineers power :

  • Guest Service & CRM (Salesforce Service Cloud)
  • Self-Service & Voice Assistants (Genesys Cloud CX, Voicebots, IVR)
  • Agent Assist & Gen AI capabilities that lower handle time and raise satisfaction
  • Telephony & Contact Routing (Verizon Voice, Google Voice / AI)

These products sit inside the GUEST Portfolio Role Summary : As a Senior Engineer (L5) you will drive the design, architecture, development, testing, and deployment of full‑stack capabilities across multiple product teams. You serve as a technical mentor, champion secure‑by‑design practices, and lead the integration of Generative AI into production systems.Key Responsibilities

  • Drive the end‑to‑end delivery of full‑stack features, balancing speed, quality, and sustainability.
  • Collaborate with product, UX, SRE, and platform teams to translate product requirements into scalable technical designs.
  • Architect and maintain robust, scalable, and secure back‑end services & APIs (microservices, event‑driven, serverless).
  • Build user‑centric front‑end interfaces with React / TypeScript and modern UI patterns.
  • Lead code reviews, establish testing strategies, and uphold engineering best practices.
  • Mentor engineers (L4) , fostering a culture of continuous learning and psychological safety.
  • Advance security posture by performing threat modeling, vulnerability management, and incident response.
  • Partner with InfoSec and platform teams to prioritize remediation and reduce enterprise risk.
  • Lead Gen AI proof‑of‑concepts (LLMs, prompt engineering, embeddings) and shepherd successful experiments into production.
  • Required Qualifications :

  • 5–7 years of professional full‑stack development experience.
  • 3+ years supporting mission‑critical production systems, including on‑call rotations.
  • Deep proficiency in React (or Vue / Angular) and Kotlin / Micronaut, Java / Spring, or Python on the back end.
  • Expertise in API design (REST, GraphQL) and event streaming ( Kafka ).
  • Hands‑on experience with relational & NoSQL databases, and cloud platforms ( GCP, AWS, or Azure ).
  • Demonstrated experience automating CI / CD pipelines and Infrastructure as Code.
  • Strong knowledge of infrastructure and application security; scripting in shell / Python , config mgmt in Chef / Terraform .
  • Proven problem‑solving ability, excellent communication, and cross‑team collaboration skills.
  • Hands‑on with Gen AI frameworks (OpenAI, Hugging Face, LangChain, vector databases) and prompt engineering.
  • Preferred Skills :

  • Domain expertise in Genesys Cloud CX, Salesforce Service Cloud, Verizon Voice, GCP Speech / Vertex AI, or other telephony / IVR / Voice AI platforms.
  • Experience implementing security compliance (PCI‑DSS, GLBA, SOX) in large enterprises.
  • Track record of shipping AI‑powered features to production at scale.
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