Sr Engineer Bengaluru

Sr Engineer Bengaluru

06 Aug
|
Target
|
Bengaluru

06 Aug

Target

Bengaluru

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 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
Solid 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
Solid 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

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