Lead Cloud Security Engineer: High-Throughput AI

Trellix

Boise (ID)

Hybrid

USD 180,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Retirement Plans
Medical, Dental and Vision Coverage
Paid Time Off
Paid Parental Leave
Support for Community Involvement

Job summary

Trellix in the United States is seeking a Staff Software Development Engineer to lead the design and development of a high-performance Cloud Threat Detection Platform. You will own architecture for submission pipelines, microservices, sandbox execution, and secure AWS infrastructure.

You will build full-stack interfaces with React and Django, and work across AI tooling integration, security compliance, and scalable delivery pipelines in a hybrid work model with occasional office presence in

Qualifications

  • 11+ years of professional software development experience building and operating high-throughput microservices, cloud platforms, and full-stack web architectures.
  • Deep, expert-level knowledge of AWS cloud architecture, compute, networking, security, and storage services for large-scale enterprise systems.
  • Linux proficiency is a must; Shell scripting required.
  • Excellent development and debugging skills in Python (FastAPI, Django, Flask).
  • Strong grasp of data structures, design patterns, REST, and async Web APIs handling millions of requests.
  • Working knowledge of C and C++ for interfacing with low-level inspection engines and execution runtimes (Go preferred).
  • CI/CD pipeline and IaC experience (GitHub Actions, Terraform, AWS CDK, CloudFormation).
  • Web UI & Full-Stack: Full-stack expertise with Python Django, React, JavaScript, HTML, CSS, Bootstrap, AJAX, and jQuery.
  • AWS Core Infrastructure: Hands-on experience with VPCs, NAT Gateways, Security Groups, EC2 fleets, Load Balancers, S3, EFS, Lambda, API Gateway, ECS, EKS, WAF, Docker, RDS, DynamoDB, OpenSearch, Athena, and Redis.
  • Compliance Knowledge: Working knowledge of regional data isolation, privacy, and regulatory controls across US (FedRAMP), EU, APJ, and Canada.
  • AI Tooling & Code Intelligence: Practical experience integrating AI tooling (e.g., Claude Code, Amazon Q, AWS Bedrock) into daily software development, code generation, refactoring, and automated code review workflows.
  • Identity & Security: Solid understanding of OAuth2, JWT, SAML, SDL processes, vulnerability assessments, and FedRAMP compliance.
  • Domain Knowledge: Working knowledge of cybersecurity threat detection processes, malware analysis pipelines, and security inspection tools.
  • Soft Skills: Excellent written and verbal communication skills with the ability to operate autonomously and collaborate effectively across engineering and threat research teams.

Responsibilities

  • Design and Develop: Lead the design and engineering of our Cloud Threat Detection Platform, driving core submission pipelines, high-throughput microservices, dynamic sandbox execution, and platform features from concept to production.
  • Full-Stack & Web UI: Build modern, responsive web application interfaces and analyst dashboards using React, Django, HTML, CSS, JavaScript, Bootstrap, AJAX, and jQuery.
  • High-Volume Submission Pipelines: Architect resilient microservices and asynchronous processing pipelines capable of handling millions of API submission requests daily with low latency.
  • End-to-End AWS Infrastructure: Design, deploy, and manage secure AWS cloud environments leveraging VPC architecture, NAT Gateways, Security Groups, EC2 fleets, Load Balancers (ALB/ELB), EFS, Lambda, API Gateway, ECS, EKS, WAF, and S3 lifecycle management.

Skills

AWS Cloud Expertise
Linux proficiency
Python programming
RESTful APIs
CI/CD
Full-stack web

Tools

React
Django
Terraform
CloudFormation
GitHub Actions
AWS CDK
OpenSearch
DynamoDB
ECS
EKS
Docker
RDS

Job description

Trellix in the United States is seeking a Staff Software Development Engineer to lead the design and development of a high-performance Cloud Threat Detection Platform. You will own architecture for submission pipelines, microservices, sandbox execution, and secure AWS infrastructure.

You will build full-stack interfaces with React and Django, and work across AI tooling integration, security compliance, and scalable delivery pipelines in a hybrid work model with occasional office presence in

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