AI Platform Engineer

🔥 19 hours ago

🏄 California, North Carolina – Remote

🏄 California – Remote 🌲 North Carolina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

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Sysdig

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

🔒 Cybersecurity

🏢 Enterprise

💰 $350M Series G on 2021-12

Cybersecurity • Cloud Security • Enterprise

Sysdig is a company that provides cloud and container security solutions. Their platform, Sysdig Secure, is designed to protect cloud-native applications by offering cloud workload protection, vulnerability management, and posture management. Sysdig focuses on real-time cloud security, detecting and responding to threats at cloud speed. The platform is a complete Cloud-Native Application Protection Platform (CNAPP) that prioritizes vulnerabilities, misconfigurations, and threats. Sysdig stands out for its runtime insights, allowing for near real-time alerting and efficient forensic investigations. They offer services across multi-cloud environments with a goal of safeguarding cloud credentials and preventing cyber threats.

📋 Description

• Build and run the MCP fleet, including shipping, securing, and patching self-hosted and managed MCP servers for business apps and databases, and managing the MCP registry • Own the agent platform's deployment patterns, guardrails, observability, and hosting substrate • Co-own the Bedrock runtime and gateway, including model access, cost attribution, content-filtering guardrails, model pinning, and quota management behind an AWS/Okta-SSO'd gateway • Build the Bedrock-to-Snowflake pipeline with identity matching, usage tracking, and threshold alerting • Own MDM configuration, desktop client setup, credentials, and authentication flows for non-technical employees • Build AI automations across Claude desktop, Slack, and Google Workspace • Route workflows by data sensitivity, enforce least privilege and auditability, and sandbox unproven models away from production data

🎯 Requirements

• 6+ years in software engineering, platform engineering, or DevOps, including ownership of something in production that others depended on • Hands-on AWS — IAM, ECS or Lambda, CloudWatch, and working VPC knowledge. Required, not a bonus • Full-stack range — backend services, APIs, CI/CD, containerized deployments • Ability to write an MCP server or API integration from scratch, not just wire up a managed connector • Hands-on experience with LLMs, LLM APIs, prompt engineering, and agent development; shipped something with them • Ability to take an underspecified task and figure out the parts nobody wrote down

🏖️ Benefits

• Extra days off to prioritize your well-being • 401(k) Retirement Savings Plan with a 3% company match • Maternity and Parental Leave • Mental health support for you and your family through the Modern Health app • Full health benefits package for you and your family