Sr. Staff IT SWE AI

Job summary

Santa Clara, California, United States IT Ref ID: JR-019892 Our Mission At Pal***®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts.

Qualifications

• If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.
• If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
• Software Engineering & AI Orchestration: Strong software engineering fundamentals in TypeScript (Node.js), Go, or Python.
• Experience interfacing with LLM APIs (OpenAI, Anthropic, Google Vertex AI, AWS Bedrock), vector databases, and prompt engineering for systems-level orchestration.
• Multi-Cloud & Containers: Deep proficiency in at least two major cloud platforms (AWS, Azure, GCP) with a strong architectural understanding of the third.
• Expert-level knowledge of Kubernetes (CKA preferred) and cloud-native networking.
• Next-Gen CI/CD: Experience building intelligent delivery pipelines using GitHub Actions or GitLab CI, featuring integrated automated testing, security gates, and AI-assisted code reviews.
• Systems Mastery: Deep understanding of Linux internals, distributed systems architecture, asynchronous programming patterns, and performance tuning
• Professional Experience
• 6+ years of experience in Cloud Software Engineering, Site Reliability Engineering (SRE), or Distributed Systems Infrastructure.
• 2+ years of hands-on experience integrating AI
• experience, and work location.

Responsibilities

• As an **AI-Native Cloud Software Engineer**, you won't just manage environments; you will build the software engines, intelligent pipelines, and autonomous systems that power our cloud presence.
• You will design, develop, and optimize highly available, distributed cloud applications and infrastructure services across AWS, Azure, and GCP.
• Treating the entire cloud ecosystem as a programmable, AI-orchestrated software entity, you will bridge the gap between deep systems engineering, application development, and LLM-powered systems orchestration.
• Multi-Cloud Generative IaC & Software-Defined Infrastructure: Architect and maintain scalable cloud systems across AWS, Azure, and GCP using Pulumi, AWS CDK, or Terraform.
• Integrate AI development workflows and custom LLM agents to accelerate safe infrastructure compilation, drift detection, and automated cross-cloud refactoring.
• Cognitive Observability & Infrastructure Security: Implement next-gen observability frameworks (OpenTelemetry, Prometheus) coupled with AI anomaly detection.
• Embed security directly into the deployment pipeline, utilizing LLMs to automatically audit Cloud IAM policies, scan for vulnerabilities, and generate contextual patches.
• Intelligent Container Orchestration: Manage production-grade Kubernetes clusters (EKS, AKS, GKE).
• Optimize resource allocation, cluster auto-scaling, and service meshes using AI-driven traffic routing and predictive capacity planning.
• Autonomous Incident Response: Act as a tier-3 software escalation engineer for complex distributed systems anomalies.
• Help design and train our internal "On-Call AI Agent" to ingest logs, perform automated Root Cause Analysis (RCA), and submit pre-validated Pull Requests to resolve underlying system defects.

Certifications

Degrees

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Industry

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Security clearance