About The Position

Target Technology Services’ CFC Threat Management Engineering (TME) team builds products, integrations, derived data capabilities, and technical platforms that enable, operate, measure, and continuously improve Threat Management. The team addresses engineering problems across systems and workflows, with an emphasis on data engineering and on creating durable, consumable platforms through APIs, services, automation, and user-facing applications. As a Lead Engineer, you will set technical direction and lead the design and delivery of complex, multi-component Threat Management systems. You will build and evolve products and data capabilities across integrations, APIs, workflow orchestration, datasets, models, services, and applications; improve detection lifecycle workflows; and establish trustworthy measurement and observability. You will partner with Threat Management leaders and practitioners, own platforms over their lifecycle when appropriate, and improve reliability, security, performance, maintainability, and support. The role also includes guiding engineering quality through reviews, mentoring, and coaching; communicating technical decisions and risks to stakeholders; and influencing safe, effective use of AI in engineering and Threat Management workflows. This role is hybrid/flex and requires work both onsite at the assigned Target HQ Minnesota location and virtually, depending on the role, team, and daily tasks. Work duties cannot be performed outside the country of the primary work location unless otherwise prescribed by Target.

Requirements

  • 8+ years of software engineering experience building and operating production systems, including ownership of complex problem spaces with a high degree of independence.
  • Strong backend and platform engineering experience building APIs, services, integrations, workflow orchestration, and data-intensive applications.
  • Meaningful frontend engineering experience building modern, intuitive user-facing applications and workflows, with the ability to work across the full stack as needed.
  • Experience building data pipelines, curated datasets, analytical or historical data models, and reusable data capabilities for metrics, analysis, and decision-making.
  • Experience designing and integrating multi-component systems across APIs, event-driven workflows, data stores, and enterprise or third-party platforms.
  • Experience with Git-based development workflows, CI/CD, automated validation and testing, and safe production release practices.
  • Experience working in public or private cloud environments; experience with Google Cloud, particularly BigQuery, or comparable analytical data platforms is required.
  • Practical cybersecurity engineering or operations experience sufficient to reason about detection content, telemetry, adversary behavior, threat coverage, and defensive-system tradeoffs.
  • Ability to rapidly develop expertise in unfamiliar systems, data feeds, and emerging threats and translate that knowledge into engineering, analytical, or detection outcomes.
  • Ability to investigate telemetry and threat behaviors, understand underlying data semantics and limitations, and develop nuanced pivots, correlations, and approaches to improving detection coverage and signal quality.
  • Ability to define technical designs and evolve architecture from concept through production operation, including security, observability, scalability, resilience, and supportability.
  • Ability to resolve ambiguous requirements involving multiple teams or systems, make sound technical tradeoffs, and communicate decisions clearly to technical and non-technical stakeholders.
  • Experience leading design and code reviews, mentoring engineers, and raising engineering standards across team boundaries.
  • Sound judgment in applying AI-assisted engineering and analytical techniques, including understanding where automation improves outcomes and where human judgment remains necessary.

Responsibilities

  • Set technical direction and lead the design of complex Threat Management systems, translating ambiguous operational needs into durable architectures and executable plans.
  • Build and evolve Threat Management products and derived data capabilities, including APIs, integrations, workflow orchestration, curated datasets, historical models, services, and user-facing applications.
  • Lead engineering of detection-lifecycle capabilities for rule authorship, validation, deployment, state verification, synchronization, and exception handling across detection platforms.
  • Build measurement and observability foundations that enable assessment of efficacy and performance and support evidence-based improvements.
  • Partner with Threat Management leadership and practitioners to frame problems, reconcile requirements, and determine appropriate engineering responses.
  • Own products and platforms over their lifecycle when TME is the appropriate engineering home, including reliability, security, performance, maintainability, observability, support, lifecycle management, and production incident response.
  • Develop expertise in critical data feeds and drive cross-platform and cross-team efforts to reduce noise, improve signal quality, and increase confidence in detection outcomes.
  • Define testing, quality-gate, release, rollback, and change-management strategies for safe delivery across interconnected systems.
  • Elevate engineering quality through design and technical reviews, problem-solving, code review, pair programming, mentoring, and coaching.
  • Communicate technical direction, tradeoffs, and risks to engineering partners and Threat Management leaders, including Directors and Sr. Directors.
  • Model and influence safe and effective AI use, establishing guardrails for automation and human judgment.

Benefits

  • Eligible team members and dependents may receive medical, vision, dental, and life insurance.
  • 401(k).
  • Employee discount.
  • Short-term disability and long-term disability.
  • Paid sick leave.
  • Paid national holidays.
  • Paid vacation.
  • Additional financial, education, and well-being benefits may be available to eligible team members.
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