**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 (https://corporate.target.com/about) . As a Senior Engineer, you will lead the design and development of platform-level capabilities for **operational intelligence, reliability engineering, and automation** across enterprise collaboration ecosystems. You will work on telemetry-driven systems that identify what is unhealthy, why it is happening, and what should be done next - while building automation and architecture that scales across multiple platforms and partners **Key Responsibilities** + Own the design and delivery of critical backend and analytics platform components + Build scalable telemetry, analytics, and automation systems + Define operational metrics, health signals, and reliability indicators + Drive platform evolution from provider-specific analytics to reusable cross-platform capabilities + Enable reliable operations through engineering guardrails, automation, and data-backed workflows + Partner cross-functionally with Endpoint Engineering, Device Management, Security,



and collaboration platform stakeholders + Mentor other engineers and raise technical quality across the team **Required Qualifications** + Solid backend engineering experience in Python or similar technologies + Deep SQL, data processing, and systems design experience + Experience designing scalable services, APIs, or data-intensive platforms + Strong problem-solving ability across complex operational systems + Experience dealing with ambiguity and translating business/operational problems into engineering solutions **Preferred Qualifications** + Experience in observability, telemetry platforms, SRE, reliability engineering, or operational analytics + Experience with anomaly detection, performance monitoring, and report automation + Familiarity with enterprise collaboration platforms and their operational signals + Strong practical understanding of **LLM-enabled systems** , including: + model selection for latency vs reasoning + token/cost optimization + prompt and response architecture + evaluation and safety considerations + production design patterns for AI-assisted workflows

📌 Sr Engineer (Bengaluru)
🏢 Target
📍 Bengaluru