Conifers is transforming security operations centers (SOCs) with CognitiveSOC™, its AI SOC platform, enabling enterprises and MSSPs to achieve SOC excellence.
By leveraging agentic AI, Conifers helps security teams investigate complex, multi-tier incidents with speed, accuracy, and trust.
Led by seasoned cybersecurity leaders and backed by SYN Ventures, PICUS Capital, and others, the company brings deep industry knowledge and innovation to an increasingly AI-driven threat landscape.
We’re building an AI-native security platform that enables autonomous agents to investigate real-world threats at a massive scale.
About The Role :
We’re looking for a hands-on Engineering Team Lead to lead a team building scalable, production-grade systems at the intersection of backend engineering, Agentic AI, and cybersecurity.
As an AI-native company, AI is at the core of what we build. In this role, you’ll lead a team responsible for developing and delivering AI-powered capabilities that help security teams investigate and respond to complex threats.
You’ll combine strong backend & frontend engineering and system design expertise with a practical understanding of modern AI technologies, working closely with other engineering teams to build reliable, scalable solutions.
This is a hands-on leadership role where you’ll stay close to the code, drive technical decisions within your team, mentor engineers, and contribute directly to the development of our AI-native platform.
What You’ll Do :
- Lead and mentor a team of software engineers, supporting their technical growth and day-to-day development.
- Drive the design, development, and delivery of scalable backend services and AI-powered product capabilities.
- Stay hands-on with Python development, system architecture, code reviews, and technical problem-solving.
- Take ownership of your team's technical decisions, engineering quality, and delivery.
- Build and improve systems that support AI agent workflows, integrations, and security investigation capabilities.
- Design and develop distributed, cloud-native services with a strong focus on reliability, performance, and scalability.
- Collaborate closely with other engineering teams, Product, and Security to deliver solutions to real customer challenges.
- Translate product and technical requirements into clear engineering plans and deliverables.
- Improve engineering practices, testing, observability, and production readiness across the team.
- Contribute to architectural discussions and technical initiatives across the engineering organization
What You'll Need :
- 5+ years of hands-on software engineering experience, with a strong background in backend development.
- 2+ years of experience managing and leading a software engineering team, including people management, mentoring, technical guidance, and ownership of team deliverables.
- Strong hands-on experience building scalable backend systems and distributed architectures.
- Experience designing and developing production-grade systems.
- Experience building or integrating AI/ML capabilities into production systems.
- Experience with LLMs, GenAI technologies, or modern AI frameworks.
- Strong programming skills, Python preferred.
- Solid understanding of cloud-native architectures, system design, and engineering best practices.
- Experience working with production environments, including performance, reliability, monitoring, and troubleshooting.
- Strong communication skills and the ability to collaborate across teams.
- Professional fluency in English and Hebrew.
Nice to have :
- Background in cybersecurity, SOC, threat detection, incident response, or security investigation workflows.
- Experience working in early-stage startups or high-growth product companies.
- Experience leading engineering teams developing AI-powered products.
Our Commitment :
We are an equal opportunity employer and value diversity at our company.
All qualified applicants will receive consideration without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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