Sr. Cloud ML Engineer (Remote) @ CrowdStrike

Job Information

Job Description:

What You’ll Do:

  • Innovate with Large Language Models to develop and refine Charlotte AI’s capabilities.
  • Construct and maintain data pipelines, engage in data upkeep, and contribute to the training and implementation of custom LLMs.
  • Collaborate with teams of Data Scientists, Data Engineering, Product and Cloud Engineering in order to build and evolve the LLM Ops platform for LLM improvements.
  • Improve backend microservices, pinpointing and addressing critical concerns to implement effective solutions.
  • Employ established CrowdStrike tools and services to build cloud solutions for detecting and countering targeted cyber assaults.
  • Collaborate across various teams to brainstorm, define, and devise solutions.
  • Stay attuned to our customers’ challenges, always seeking ways to enhance support.
  • Emphasize top-tier coding quality by adhering to best practices, rigorous testing, and thorough logging and metrics.
  • Work within a collaborative and agile team environment.
  • Contribute to mentoring fellow engineers across a spectrum of technologies and also absorb knowledge from them.
  • Constantly explore ways to refine product architecture, knowledge models, user experience, performance, and reliability.
  • Own your work with autonomy, end to end: develop, test, deploy and monitor your changes.
  • Thrive in an environment that highly values trust.


Technical Stack (comprehensive knowledge is not required; a strong aptitude for continuous learning is vital):

  • AWS (SageMaker, Bedrock)
  • Go (Golang)
  • Python
  • Docker
  • Kubernetes
  • Redis / S3 / EC2 / IAM
  • Kafka
  • GIT
  • Cassandra
  • ElasticSearch


What You’ll Need:

  • Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems)
  • Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etc
  • Prior experience with Large Language Models or other Machine Learning based products, or willingness and interest to learn about those
  • Being a team player
  • A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.
  • The ability to thrive in a test-driven, collaborative, and iterative programming environment.
  • The skills to meet your commitments on time and produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.
  • Commitment to ongoing learning and self-improvement.


Bonus Points:

  • Existing exposure to Go, AWS, Cassandra, Kafka, Elasticsearch
  • Experience with Language Models, Data Science, Data Engineering
  • Prior experience in the cybersecurity or intelligence fields

  • Remote-first culture
  • Market leader in compensation and equity awards
  • Competitive vacation and flexible working arrangements
  • Comprehensive and inclusive health benefits
  • Physical and mental wellness programs
  • Paid parental leave, including adoption
  • A variety of professional development and mentorship opportunities
  • Offices with stocked kitchens when you need to fuel innovation and collaboration

Experience Level: Junior/Associate
Work From: Remote from Region United States of America

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