The Cortex team builds and delivers the industry’s most advanced SecOps platform. Your role involves operating and maintaining a large-scale GCP environment, including the design, implementation, and continuous enhancement of our comprehensive observability systems.
Compensation
$151,000.00 - $244,200.00/yr
Responsibilities
Utilize expertise in monitoring cloud platforms, particularly GCP, to optimize our infrastructure
Improve monitoring processes, alerts, and metrics
Leverage incident management processes to ensure efficient resolution of system issues and minimal impact on services
Automate complex monitoring and alerting tasks by building tools for cloud operations
Provide follow-the-sun operational coverage in the production of our Observability infrastructure
Design end-to-end data architectures that integrate diverse sources (OSS/BSS, CRM, and Digital Apps) into a unified 'Source of Truth' and manage scalable, distributed systems for petabyte-scale telecom data.
Responsibilities
Design end-to-end data architectures that integrate diverse sources (OSS/BSS, CRM, and Digital Apps) into a unified 'Source of Truth'.
Design and manage scalable, distributed systems (Big Data, Lakes House, Hadoop, Spark, Kafka) capable of handling petabyte-scale telecom data.
Optimize database performance for high-concurrency environments, ensuring that the Data Warehouse (DWH) and reporting layers remain responsive under heavy loads.
Automate workflows and reporting processes using orchestration tools (e.g., Airflow, N8N) and scripting (Linux Shell/Python).
Ensure data complies with local regulations and organizational security protocols and policies.
Guide customers through the process of integrating and implementing Keeper within their environment, ensuring a seamless transition from onboarding to full utilization.
Responsibilities
Collaborate with customers to understand their specific business needs and objectives for using our services, conducting thorough needs assessments to gather requirements and tailor the implementation plan accordingly
Configure Keeper to meet the unique requirements of each customer, ensuring optimal system performance and usability while customizing features, workflows, and integrations based on customer specifications
Develop and deliver training sessions to educate customers on using Keeper effectively and efficiently
Create comprehensive documentation, user guides, and knowledge resources to support customers in using the software
Offer continuous level 2 related technical support to customers, adeptly troubleshooting issues and efficiently resolving any concerns as they arise while proactively recognizing and rectifying project-related risks and issues, promptly escalating them when required
Requirements
Bachelor's degree in computer science, information technology, or a related field (or equivalent practical experience)
Nice to have: PMP Certification
Nice to have: IT experience
Nice to have: Python
Nice to have: French language proficiency
Skills
AI Scientist Intern - (Internship, Masters or Phd)
You will be working with the fine tuning team on making state-of-the-art generative models and running autonomous work streams under the supervision of experienced scientists.
Locations (2)
Palo Alto, California, United States
Montreal, Quebec, Canada
Responsibilities
Explore state-of-the-art LLM algorithms for fine tuning LLMs, with the supervision of top level scientists.
Assist in the design and implementation of machine learning models and algorithms.
Conduct research on the latest advancements in natural language processing and LLMs.
Contribute to the development and optimization of our LLM systems.
Collaborate with cross-functional teams to integrate LLM technologies into various applications.
Requirements
Currently doing a Master or PhD at a tier 1 engineering schools / Universities
Nice to have: experience in fine tuning LLMs
Nice to have: experience used complex HPC infrastructure with full autonomy
Senior Analytics Platform Engineer responsible for developing and automating solutions to support product roadmaps across multiple Data Science platforms in a global biopharmaceutical enterprise.
Compensation
Competitive remuneration and wide range of benefits.
Responsibilities
Build, configure, and customize capabilities within leading Data Science platforms
Implement and maintain robust platform automation using Terraform, Ansible, Git, and CI/CD pipelines for AWS deployments
Collaborate with Product Managers and Architects to translate business needs into technical solutions
Monitor platforms, troubleshoot complex issues, provide root cause analysis
Update and maintain accurate SDLC documentation
Requirements
Bachelor’s degree in computer science, Information Technology, or a related field
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