Lead Engineer - Full Stack job opportunity at Target.



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Target Lead Engineer - Full Stack
Requires: 10-years - XP
Pattern: full-time
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Bachelor's (B.Sc.)
Bangalore, Karnataka, India
Bangalore, Kar..........India

As a Lead Engineer (L6) you will own the technical strategy, architecture, and delivery for multiple teams building full‑stack, AI‑enabled contact‑center products. You will guide architectural evolution, champion security and reliability, and scale Generative AI adoption across the portfolio.Key Responsibilities __ Define and communicate architectural vision for full‑stack and event‑driven systems, aligning to enterprise guardrails. Drive high‑stakes design decisions (build vs. buy, domain boundaries, data models) across products and teams. Lead, mentor, and grow engineers (L4–L5) through coaching, design reviews, and career guidance. Establish and monitor SLIs/SLOs; partner with SRE to improve availability, latency, and cost efficiency. Champion secure‑by‑design practices; conduct threat modeling, oversee penetration tests, and drive remediation at scale. Integrate Generative AI capabilities (LLMs, RAG, agents) into platform architecture, balancing innovation with risk. Influence portfolio roadmaps by articulating technical trade‑offs and business impact to senior leadership. Cultivate engineering culture focused on psychological safety, learning, and continuous improvement. _. Required Qualifications : 10+ years of software engineering experience with at least 3 years in a technical leadership/architect role. Demonstrated mastery of full‑stack development (React/TypeScript; Kotlin/Micronaut, #Java/#Spring, #Python) and distributed system design. Proven track record operating mission‑critical, high‑scale platforms (99.9 %+ availability). Deep expertise in cloud architecture (GCP preferred), CI/CD automation, observability, and cost optimization. Extensive knowledge of application & infrastructure security, compliance (PCI‑DSS, GLBA, SOX), and incident management. Experience architecting and shipping AI‑powered capabilities (OpenAI, Vertex AI, Hugging Face, vector DBs) to production. Exceptional communication and influence skills; ability to translate complex concepts for diverse stakeholders. Preferred Skills : Expertise with Genesys Cloud CX, Salesforce Service Cloud, Verizon Voice, or other large‑scale telephony/IVR ecosystems. Experience leading enterprise‑wide modernization or platform migration initiatives. Contributions to open‑source or industry standards; conference speaking

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