Illumio
Sr. Machine Learning Engineer
HQ - Sunnyvale (Office) · Senior · Contract
Sponsorship not specifiedDetected 36 days ago
PythonJavaDistributed SystemsVector DatabasesAWSGCPAzureCloud PlatformsKubernetesTerraformKafkaMachine LearningSparkData EngineeringLLMsRAGAgentic AIZero TrustLeadershipCommunication
About the role
- Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience.
- Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running.
- OUR TEAM'S VISION: Our Engineering team is shaping the future of cybersecurity.
Responsibilities
- Asynchronous Systems: Architect and optimize high-throughput, event-driven systems using Apache Kafka to handle real-time data flows.
- Data Processing at Scale: Build and maintain large-scale data pipelines using Apache Spark or Flink to provide the high-volume analytics that power our AI.
- Agentic Systems at Scale: Design sophisticated AI Agents capable of autonomous planning, memory management, and high-reliability tool-use across distributed environments.
- Infrastructure & Orchestration: Lead the architectural design of containerized services on Kubernetes, ensuring high availability and scalability across Cloud Infrastructure (AWS/Azure/GCP).
- Advanced IaC: Expertise in building reusable Terraform modules and managing complex multi-region cloud deployments.
- All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature.
- Build and maintain large-scale data pipelines using Apache Spark or Flink to provide the high-volume analytics that power our AI.
- Design sophisticated AI Agents capable of autonomous planning, memory management, and high-reliability tool-use across distributed environments.
Requirements
- Experience with LLM deployment optimization (e.g., vLLM, TensorRT-LLM) or managing proprietary model inference endpoints.
- 5-8 years of experience in backend engineering using Java, Python, or Go.
- Hands on experience with agentic frameworks (e.g., AutoGen, CrewAI, or custom orchestration layers), RAG, MCP, fine tuning models and prompt engineering.
- AI Ops: Experience with LLM deployment optimization (e.g., vLLM, TensorRT-LLM) or managing proprietary model inference endpoints.
Skills
- ONWARDS TOGETHER!
- Deep experience in indexing strategies (HNSW vs IVF) and performance tuning for high-concurrency vector databases at scale.
Company info
- Our Engineering team is shaping the future of cybersecurity.
- We thrive on visionary leadership, autonomy, and ownership, fostering a culture of innovation that propels us forward in the ever-evolving cybersecurity landscape.
- As a leader in Zero Trust Segmentation, we are redefining security for a world facing unprecedented cyber threats.
- You'll work with a highly scalable SaaS service built using cloud-native technologies while simultaneously shipping the solution on-premises.
- Our guiding philosophy in Engineering is to get things right through practicing disciplined engineering, focusing, not cutting corners, and of course having fun while we are at it.
- We believe in enabling ownership at all levels of the organization and empowering teams.
- If you thrive in this culture, come join us!
- As a Senior Software Engineer, you will architect high-scale distributed systems that process massive data volumes to fuel our Agentic AI ecosystem.
- You will lead the development of autonomous agents that don't just provide analytics, but take action-driving complex automation and insights for our enterprise customers.
- Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions creates a culture of belonging, drives our future, and makes us stronger together in support of our customers and their success.
- Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor.
- Your security is important to us, and we are committed to a safe and transparent hiring experience.
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