Senior Engineer, ML Platform

CrowdStrike

full-time

Posted on: 9/22/2025

Origin: • 🇮🇳 India

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Senior

AnsibleAWSCassandraChefDistributed SystemsDockerElasticSearchGoogle Cloud PlatformKafkaKubernetesMicroservicesPythonSparkTerraform

About the role

Building globally distributed, fault-tolerant, and highly scalable ecosystems
Provide solutions for challenging and high value projects across the company
Implementing monitoring and providing in-depth analysis to identify potential vulnerabilities or gaps
Create backend microservices, pinpointing and addressing critical concerns to implement effective solutions
Employ established CrowdStrike tools and services to build solutions for detecting and countering targeted cyber assaults
Construct and maintain data pipelines, and contribute to the training and implementation of custom models
Collaborate across various teams to brainstorm, define, and devise solutions
Commit to ongoing learning and self-improvement
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

Any STEM undergraduate degree
15 + years of experience with big data and microservices
Understanding scalability and distributed systems e.g. sharding, partitioning, and concurrency
High level coding language such as JVM technologies or Python
Docker
Kubernetes
AWS, GCP, or MaaS
Kafka, Cassandra, and Spark
ElasticSearch
Terraform, Chef, or Ansible
Be 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.