Backend Engineer
1 semana atrás
IMPORTANT NOTE: As part of our evaluation process, a video response is required. This helps us streamline interviews and assess communication and problem solving skills. Applications submitted without the video cannot be considered.
About AllShore Talent
AllShore Talent is a leading remote staffing company, offering top-tier professionals working 100% remote to businesses worldwide. Specializing in IT and software development, design, administrative support, digital marketing, and more. AllShore connects organizations with skilled talent to meet diverse business needs.
Client Description
Our client is an innovative cybersecurity company redefining how organizations defend themselves. Backed by top-tier investors, they've built an Autonomous Defense & Remediation platform powered by agentic AI, enabling companies to identify, contain, and neutralize threats in seconds. Their technology integrates seamlessly with existing security stacks and helps teams scale without additional headcount or reliance on MSPs.
Project Details
In this role, you will architect and develop high-quality backend services in Python, build scalable systems, orchestrate AI-agent workflows, and collaborate closely with security experts to deliver enterprise-grade capabilities.
Responsibilities:
Build and manage Sevii's live-fire cyber range, including CoLo clusters, security tooling, and breach/attack simulators
Design data flows using Cribl Stream/Edge, Splunk, Chronicle (Google SecOps), Sentinel, and NG-SIEM
Automate infrastructure and operations using Terraform, Python, CloudFormation
Implement Zero Trust architectures (Tailscale, PrivateLink)
Lead and manage integrations within complex hybrid cloud environments (AWS, Azure, GCP, Proxmox)
Requirements:
3+ years of backend engineering experience
Strong Python development experience (FastAPI preferred)
Experience with asynchronous task processing using Celery + Redis
Strong understanding of MongoDB data modeling and persistence
Experience owning features end-to-end and explaining technical decisions to stakeholders
Familiarity with LangGraph / LangChain (tool calling, state machines, memory, guardrails)
Containerization with Docker and deployment/operations in Kubernetes (cloud or hybrid/on-prem)
Experience integrating with security platforms like CrowdStrike, Microsoft Defender, Splunk, Cribl, ServiceNow
Solid understanding of observability practices (metrics, tracing, structured logging, distributed debugging)
Thorough understanding of GitFlow and Agile methodologies
Advanced English
Compensation for this role ranges between $2,000 and $3,200 USD per month, depending on experience and technical depth.
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