Principal Threat Detection Operations Engineer

The pay range is $168,000.00 - $303,000.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits .

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 Principal Engineer supporting Threat Detection Operations, you set the technical strategy for the detection engineering, platforms, services, integrations, and automations that enable Target to detect cyber threats. You set direction for how these capabilities are designed, developed, tested, deployed, and operationalized across multiple portfolios and drive adoption across Target. You lead and approve engineering efforts to meet functional and non-functional requirements, including security, reliability, scalability, availability, performance, and maintainability.

This role combines principal-level engineering leadership with deep detection engineering expertise. You are expected to design, develop, and continuously improve scalable detection capabilities that identify sophisticated threats across complex environments, while applying strong investigative judgment to ensure detections are actionable, resilient, and aligned to evolving adversary behaviors. You translate threat intelligence, incident learnings, and emerging attack techniques into durable detection strategies, engineering solutions, and process improvements. You are a thought leader and mentor for detection engineers and partner teams and actively contribute to the broader cybersecurity team and tech organization.

Use your skills, experience, and talents to be a part of groundbreaking thinking and visionary goals. As a Principal Engineer, Threat Detection Operations, you will take the lead as you...

Set and communicate the technical vision, architecture, and roadmap for detection engineering, aligning threat detection capabilities with Target's cybersecurity priorities, business risks, threat landscape, and technical environments.

Architect and lead the development of scalable, reliable detection capabilities, services, integrations, and automations using Python, APIs, detection-as-code practices, event-driven patterns, and cloud-native technologies to identify malicious and anomalous activity across enterprise, cloud, identity, endpoint, network, and application environments.

Establish and drive engineering standards for detection content, source control, peer review, automated testing, CI/CD, release management, observability, documentation, versioning, access controls, and resilient production operations.

Lead the design, development, and lifecycle management of enterprise detection capabilities, including detection rules, behavioral analytics, correlation logic, detection pipelines, enrichment, alerting workflows, and analyst-facing tooling.

Provide hands-on, principal-level leadership for complex detection and visibility challenges. Guide detection logic development, testing, tuning, validation, deployment, and continuous improvement to maximize detection effectiveness while reducing analyst workload.

Partner with incident responders, threat hunters, threat intelligence, enterprise architecture, and technology teams to translate threat intelligence, adversary behaviors, investigative findings, and emerging risks into scalable and durable detection capabilities.

Assess the viability, applicability, security, maintainability, and cost implications of detection technologies and technical solutions through proofs of concept, prototypes, architecture reviews, vendor evaluations, and build-versus-buy decisions.

Define metrics and feedback loops that measure detection coverage, fidelity, precision, reliability, time to detect, alert quality, operational performance, and analyst expertise; use the results to identify detection gaps and drive continuous improvement.

Influence telemetry and security data strategy by defining requirements for data quality, normalization, enrichment, retention, availability, and observability necessary to support effective and resilient detection capabilities.

Work with engineering and cybersecurity leaders to build a high-performing team, provide technical leadership and coaching, mentor engineers and analysts, and participate in the selection and development of technical talent.

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

About you:

4-year degree or equivalent experience. Continuing education to maintain thorough knowledge of technical and cybersecurity domains while staying current with relevant technologies and threats.

10+ years of experience in cybersecurity engineering, detection engineering, threat hunting, security operations, security analytics, or related services, including demonstrated ability to independently design, develop, validate, and improve detection capabilities in complex enterprise environments.

Advanced Python programming and software engineering skills, including APIs, data structures, testing, code review, source control, packaging, error handling, and maintainable documentation.

Demonstrated experience designing, developing, testing, deploying, and operating detection content and supporting services through modern CI/CD, detection-as-code, and DevSecOps practices, including automated testing, secure deployment, monitoring, rollback, versioning, and change governance.

Strong hands-on experience SIEM and security analytics platforms and the development of production-grade detection rules, correlation logic, behavioral analytics, enrichment, and alerting workflows. Familiarity with adjacent technologies such as EDR, SOAR, threat intelligence, identity, cloud security, network security, case management, and malware analysis.

Deep knowledge of detection engineering principles and the ability to analyze endpoint, network, identity, cloud, application, and other security telemetry; understand adversary techniques and behaviors; identify detection opportunities and gaps; and develop high-fidelity detections that are effective, explainable, and operationally sustainable.

Strong understanding of secure syst