Sr Engineer
Job in
India, Henry County, Tennessee, USA
Listed on 2026-07-08
Listing for:
Target
Full Time
position Listed on 2026-07-08
Job specializations:
-
Software Development
Job Description & How to Apply Below
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
* Strong 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
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