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
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Own the design and delivery of critical backend and analytics platform components
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Build scalable telemetry, analytics, and automation systems
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Define operational metrics, health signals, and reliability indicators
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Drive platform evolution from provider-specific analytics to reusable cross-platform capabilities
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Enable reliable operations through engineering guardrails, automation, and data-backed workflows
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Partner cross-functionally with Endpoint Engineering, Device Management, Security, and collaboration platform stakeholders
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Mentor other engineers and raise technical quality across the team
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Strong backend engineering experience in Python or similar technologies
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Deep SQL, data processing, and systems design experience
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Experience designing scalable services, APIs, or data-intensive platforms
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Strong problem-solving ability across complex operational systems
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Experience dealing with ambiguity and translating business/operational problems into engineering solutions
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Experience in observability, telemetry platforms, SRE, reliability engineering, or operational analytics
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Experience with anomaly detection, performance monitoring, and report automation
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Familiarity with enterprise collaboration platforms and their operational signals
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Strong practical understanding of LLM-enabled systems, including:
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model selection for latency vs reasoning
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token/cost optimization
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prompt and response architecture
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evaluation and safety considerations
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production design patterns for AI-assisted workflows
