Observability Engineer

San Francisco, CA, US • Posted 1 day ago • Updated 22 minutes ago
Contract W2
On-site
USD $50.00 - 80.00 per hour
Fitment

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Job Details

Skills

  • ERwin
  • Software Security
  • Security Engineering
  • Google Cloud
  • Google Cloud Platform
  • Microsoft Azure
  • GitHub
  • Gap Analysis
  • Workflow
  • Microsoft
  • Splunk
  • Terraform
  • Extract
  • Transform
  • Load
  • Dashboard
  • Reporting
  • Management
  • Documentation
  • Onboarding
  • SIEM
  • SQL
  • SPL
  • SaaS
  • Network
  • Python
  • Scripting Language
  • Kubernetes
  • Microservices
  • Communication
  • Salesforce.com
  • Cadence
  • Cisco Certifications
  • Amazon Web Services
  • Snow Flake Schema
  • Analytics
  • Cloud Computing
  • Data Engineering
  • Military
  • SAP BASIS
  • Authorization
  • Law
  • LOS
  • Recruiting
  • Legal
  • Artificial Intelligence
  • Privacy

Summary

Software Security Firm looking for Observability Engineer

This Jobot Consulting Job is hosted by: John Erwin
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
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


Job Details

seeking a mid-level Security Observability Engineer who will own the design, implementation, and maintenance of the security telemetry pipelines customer detection, response, and reporting functions depend on. Working closely with customer platform and security engineering peers, you will onboard log sources, engineer data pipelines, stand up SIEM and security data platforms, and build the dashboards and reporting surfaces that make posture and coverage visible. This position is based in our SF office on a hybrid schedule; candidates outside the Bay Area who are willing to travel regularly are also encouraged to apply.

RESPONSIBILITIES
  • Design, deploy, and maintain log source integrations across identity (Okta, Azure AD), cloud (AWS, Google Cloud Platform, 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.

QUALIFICATIONS
  • 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.

NICE TO HAVE
  • Relevant certifications such as CCSK, CCSP, AWS Security Specialty, DA.
  • 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.


Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91113390
  • Position Id: 1020395439
  • Posted 1 day ago
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