Advance 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
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 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
Requirements
Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems)
Prior work experience with big data and microservices
Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etc.
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
Tech Stack ( not mandatory to know everything; a robust learning capacity is essential) : Go (Golang), Python, Docker, Kubernetes, AWS, Redis / S3 / EC2 / IAM, Kafka, GIT, Cassandra, ElasticSearch
Prior experience with Golang and LLMs is not required, but will be helpful
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
Benefits
Remote-friendly and flexible work culture
Market leader in compensation and equity awards
Eligibility for bonuses and equity grants
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe
Health insurance
401k
Paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.