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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating scalable log ingestion systems, with a strong focus on Python programming, data validation, and integration within cloud environments. Proficient in troubleshooting and root-cause analysis, ensuring high-quality data feeds and operational efficiency.
Highest-signal resume keywords
Python ProgrammingLog Ingestion SystemsData ValidationAPI IntegrationRoot-Cause Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Log IngestionData TransformationRegular ExpressionsJSON ParsingSyslogCEFCSV/TSVSchema ChangesMonitoringAutomation
Soft Skills
CollaborationProblem-SolvingPrioritization
Tools & Technologies
Google SecOpsPublic Cloud EnvironmentSIEM Integrations
Industry Keywords
CybersecurityTelemetryDistributed SystemsSLOsSLAs
Tech Stack
Tools & technologiesCloudCyber SecurityDistributed SystemsPython
About the role
Key responsibilities & impact- Own and improve end-to-end log ingestion into Google SecOps, from source onboarding through reliable shipment
- Design and deliver scalable ingestion pipeline, integration, and data validation improvements
- Implement feed health signals, shipment validations, and meta-attributes for feed reliability
- Partner with Threat Management Engineering, Threat Detection & Operations, Cyber Threat Intelligence, and CSIRT
- Deliver high-quality, backward-compatible changes to high-volume, critical data feeds and SecOps integrations
- Lead troubleshooting and root-cause analysis across log pipelines and SIEM integrations
- Participate in a shared 24/7 on-call rotation
- Build ingestion integrations and operational tooling using Python and regular expressions
- Parse, validate, transform, and evolve schemas across JSON, Syslog, CEF, and CSV/TSV formats
- Develop monitoring and alerting aligned to platform SLOs/SLAs
- Improve telemetry completeness, timeliness, quality, platform performance, and MTTR
- Prioritize work across teams, unblock partners, and continuously improve platform operations
- Create observability, runbooks, automation, and preventative fixes
- Design, build, and operate reliable log ingestion capabilities supporting Target’s cybersecurity mission
Requirements
What you’ll need- 4-year degree in Computer Science or related field, or equivalent practical experience
- 3+ years of software development and/or platform engineering experience
- Experience building and operating systems in a public cloud environment
- Proficiency in Python
- Proficiency with regular expressions for parsing, extraction, and validation
- Experience integrating systems using APIs, including authentication and authorization concepts
- Experience ingesting, transforming, and validating log/event data across JSON, Syslog, CEF, and CSV/TSV formats
- Experience with schema changes and backwards compatibility
- Production troubleshooting and root-cause analysis experience, including preventative fixes through monitoring, runbooks, and automation
- Understanding of distributed systems fundamentals and resilience patterns such as timeouts, retries, and idempotency
- Experience migrating services or data flows between provider platforms, such as on-premises and cloud
- Willingness to participate in a shared 24/7 on-call rotation
Benefits
Comp & perks- Comprehensive health benefits, including medical, vision, dental, and life insurance
- 401(k)
- Employee discount
- Short-term disability
- Long-term disability
- Paid sick leave
- Paid national holidays
- Paid vacation
- Financial, education, and well-being benefits and programs
- Remote work arrangement or Hybrid/Flex for Your Day arrangement
- Remote team members may travel to HQ up to 4 times a year
