Principal Back End Engineer (Cybersecurity Domain)Investigo • California, MO, US
Principal Back End Engineer (Cybersecurity Domain)
Investigo • California, MO, US
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- serp_jobs.job_card.full_time
job_description.job_card.job_descriptionStrong back-end engineering experience with Python (FastAPI, Flask, or Django). Proven work with distributed systems, data pipelines, or streaming architectures (Kafka, Spark, Flink, etc.). Experience building REST APIs or microservices at scale. Familiarity with containerization and orchestration (Docker, Kubernetes). Bonus : exposure to AI / ML pipelines, big data infrastructure, or security tech. Backed at Series D with strong growth and customer traction. Opportunity to work on cutting-edge AI + cloud security problems at scale. Collaborative team culture where engineers own design, architecture, and implementation. Competitive comp, equity, and benefits. Mid-Senior level Full-time Information Technology Computer and Network Security
Overview
We're redefining how enterprises secure data in the cloud. With the explosion of AI and data-driven workloads, our AI Data Platform is at the center of powering next-generation security analytics at scale. We're looking for a Back-End Engineer to help design and scale the core services that support massive data pipelines and AI-driven insights. You'll work directly on distributed systems that ingest, process, and serve petabytes of security data in real time.
Base pay range : $180,000.00 / yr - $220,000.00 / yr
We're openly posting this role via Investigo. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Direct message the job poster from Investigo
Location : Mountain View, CA and San Francisco, CA (remote options may apply per role)
What You'll Do
- Build and scale Python / FastAPI services that power our AI-driven data platform.
- Design APIs and data services that integrate seamlessly with large-scale distributed systems.
- Collaborate with data scientists and platform engineers to deliver high-performance ML / AI workflows.
- Optimize pipelines for scalability, resiliency, and low-latency data access.
- Influence architecture decisions as we continue to grow beyond Series D scale.
What We're Looking For
Why Us
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