Observability Engineer (San Francisco)
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Salary: $50 - $80 per hour A bit about us: We are a Software Consulting firm working with enterprise and start companies that are AI driven and we are developing some of the most cutting edge software/security solutions platforms in the world Why join us?
- Competitive Compensation
- Work on incredible projects that are fun and challenging
- Full Benefits (Medical, Vision, Dental)
- 401k
- Long term Contract to Hire opportunity
- Design, deploy, and maintain log source integrations across identity (Okta, Azure AD), cloud (AWS, GCP, Azure), endpoint (CrowdStrike, SentinelOne), SaaS (Google Workspace, GitHub, Salesforce), and network layers.
- Perform telemetry gap analyses against customer environments and detection requirements to identify coverage blind spots.
- Normalize, parse, and enrich security telemetry so downstream detection, hunting, and analytics workflows receive reliable data.
- Deploy and configure SIEM and security data platforms (Panther, Microsoft Sentinel, Splunk) and the data stores behind them (Snowflake or other cloud data platforms).
- Apply infrastructure-as-code practices (Terraform, CloudFormation, Pulumi) to SIEM configuration, connector management, and data pipeline lifecycle.
- Build dashboards, metrics, and reporting surfaces that give customers clear visibility into security posture, telemetry coverage, and operational health.
- Manage retention, tiering, and cost for security data in cloud-native architectures.
- Write and maintain documentation, runbooks, and architecture decision records (ADRs) for pipelines, integrations, and platform configurations.
- 3 to 5 years of experience in security observability, detection engineering, security data engineering, or a related technical role.
- Hands-on experience onboarding log sources and building telemetry pipelines into at least one major SIEM or security data platform.
- Working proficiency in one or more query languages: SQL, KQL, SPL, CQL, PantherFlow, or SnowSQL.
- Familiarity with log sources and security telemetry across endpoint, identity, cloud, SaaS, and network layers.
- Proficiency in Python or similar scripting language for automation, tooling, and integration work.
- Solid understanding of modern cloud architectures (containers, Kubernetes, serverless, microservices, APIs) and how telemetry flows through them.
- Excellent communication skills with the ability to translate pipeline architecture and coverage status into actionable recommendations for customer platform and security teams.
- Must be located in the SF Bay Area or willing to travel to our San Francisco office on a regular cadence.
- Relevant certifications such as CCSK, CCSP, AWS Security Specialty, or GCDA.
- Experience with Snowflake or other cloud data platforms in a security analytics context.
- Hands-on experience with CSPM/CNAPP platforms (Wiz, Orca, Prisma Cloud, Lacework).
- Background in data engineering, platform engineering, or SRE prior to security.
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