Senior Engineer - Falcon NG-SIEM, Serverless Cell Platform

New

CrowdStrikeCybersecurity, SIEM

This role is based in Australia and is fully remote.Full-TimeSenior

Salary not disclosed

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Job Details

Experience: 5+ years of experience designing, implementing, and maintaining multiple software products/systems/releases; 3+ years of current hands-on experience as an engineer owning a distributed system that handled tens of billions of requests per day or more than 1 PB of data per day.
Required Skills: AWSGCPKafkaMachine LearningAzureGoScalaDistributed Systems

Have 5+ years of experience designing, implementing, and maintaining multiple software products, systems, or releases.
Bring experience across all phases of the software development lifecycle and multiple software stacks.
Have 3+ years of current hands-on engineering experience owning a distributed system that handled tens of billions of requests per day or more than 1 PB of data per day.
Demonstrate a history of significant, continued impact on customer experience and business results.
Show operational excellence operating services spanning many components across several geographical regions.
Have experience using AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes.
Communicate and articulate crisply.
Golang and Scala development experience are bonus qualifications.
Have a solid grounding in at least one cloud environment: AWS, Azure, or GCP; this is a bonus qualification.
Kafka expertise, Log Management or cybersecurity product experience, and machine learning or data science familiarity are bonus qualifications.

Place customers across the fleet, efficiently packing tenants while reserving capacity for their entitlements.
Rebalance customers across shared infrastructure as loads shift, protecting customer performance and fleet health.
Automatically scale capacity to match changes in demand.
Use real-time per-tenant memory, storage, throughput, and query-cost data to guide placement and balancing.
Investigate LogScale data ingestion, storage, caching, and query internals to assess placement and scaling decisions.
Operate the systems you build and handle customer-impacting incidents with operational rigor.
Deliver key system components as an individual contributor while leading the team through ambiguous problems.
Work with technical leads and principal engineers to align LogScale platform strategy.

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