DevJobs

Staff Software Engineer

Overview
Skills
  • Python Python
  • Go Go
  • SQL SQL
  • NoSQL NoSQL
  • Azure Azure
  • GCP GCP
  • AWS AWS
  • Docker Docker
  • Kubernetes Kubernetes
  • AI frameworks
  • Large Language Model

Company Overview

At Backline, we are building the world’s first autonomous remediation platform - AI agents that don’t just find vulnerabilities, they fix them. At scale. Seamlessly integrated into existing workflows, these agents act as tireless virtual engineers, analyzing code and configurations, generating safe changes, and pushing verified fixes - autonomously. 

The shift we offer is transformative: vulnerabilities vanish in hours instead of months, human teams are freed from endless fire drills, and organizations move from reactive defense to true resilience. Security backlog - a chronic industry pain point - will become a thing of the past.

We have recently closed a significant Seed round led by StageOne Ventures, Gradient and Evolution Equity Capital and our office is located at the Bursa in Ramat Gan, with a hybrid work model.


Position Overview

Backline is seeking an experienced Senior Software Engineer to join our team and take ownership of building robust, cloud-native services and AI Agents. You'll leverage deep Java ecosystem knowledge to create intelligent remediation systems while building scalable backend services in Python and Go. You'll own features end-to-end - from planning and design through implementation, database design, CI/CD setup, and production deployment.


Key Responsibilities

  • Architect and build core cloud-native infrastructure using Go and Python for high-scale distributed systems.
  • Design system architecture for AI Agent platforms, including LLM integration, workflow orchestration, and real-time processing.
  • Solve complex technical challenges with minimal guidance, often defining the problem space yourself.
  • Lead cross-team technical initiatives and establish engineering standards across the organization.
  • Design APIs, databases, and system integration patterns that scale to meet enterprise-level usage requirements.
  • Own technical debt resolution and system performance optimization across the entire stack.


Qualifications

  • 10+ years of software engineering experience
  • Expert-level proficiency in Go or Python with a deep understanding of performance optimization and best practices.
  • Extensive experience designing and implementing cloud-native architectures on AWS (GCP & Azure is a plus).
  • Proven experience with Docker, Kubernetes, and container orchestration at scale.
  • Strong background in distributed systems, microservices, and API design patterns.
  • Hands-on experience with both SQL and NoSQL databases, including performance tuning and schema design.
  • Experience with modern AI frameworks and Large Language Model integration.
  • Track record of making architectural decisions in high-growth, fast-paced environments.
  • Worked in startup environments with rapid iteration and changing requirements
  • Clear communication, product mindset, and ability to partner with cross-functional teams in a startup environment.
  • Bachelor’s degree in Computer Science, Engineering, or related field - or equivalent practical experience.

Advantages

  • Background in cybersecurity, or network/cloud security products.
  • Proven 0→1 experience in an early-stage startup.
  • Experience integrating AI agents and technologies into applications.


Work Environment

Join a well-funded startup building cutting-edge AI security tools. You'll have significant technical ownership, work with the latest AI technologies, and help build an engineering culture in a collaborative, growth-focused environment. Expect:

  • Becoming a part of a cutting-edge startup, collaborating with an experienced team and seasoned leaders.
  • High-impact, 0-to-1 work across platform and product
  • Clear growth path into technical leadership as the team scales
  • A flexible and inclusive environment, supported by a diverse, fun, and exceptional team
Backline