Engineering Manager (cybersec)
This is a remote position. As an Engineering Manager, you will lead a pod of highly skilled engineers responsible for building critical components of Simbian’s platform—from scalable backend services and data pipelines to integrations with security tools and novel AI-driven investigation engines. You’ll be responsible for driving execution, mentoring engineers, and shaping technical direction while working closely with product, AI/ML, and security teams. This role is ideal for a hands-on leader who thrives in startup environments, is comfortable balancing execution with strategy, and can guide engineers to build reliable, secure, and scalable systems.
Responsibilities
- Lead and mentor a pod of backends, frontend, or platform engineers (depending on pod assignment: e.g., Integrations, Investigation Infra, Threat Hunting, etc.)
- Drive delivery of product and platform features aligned to quarterly OKRs
- Establish engineering best practices for code quality, observability, security, and reliability
- Collaborate with product managers and security SMEs to define technical scope, execution plans, and delivery timelines.
•Provide technical guidance in architecture decisions across areas such as: 1. Scalable microservices 2. Security product integrations (EDR, SIEM, CNAPP, etc.)
- Data pipelines (historical + real-time event ingestion)
- AI/ML systems for reasoning and automation
- Recruit, develop, and retain top engineering talent.
- Ensure pods maintain a high bar for innovation, execution, and collaboration.
- Must have recent experience working in cyber security. We are looking for domain experience mandatorily.
Requirements
- 12+ years of professional software engineering experience in security domain, with at least 3+ years leading or managing engineering teams.
- Strong background in building scalable backend systems (Python, Go, or Java preferred).
- Experience with cloud-native architectures (Kubernetes, Postgres, vector databases, OpenSearch, etc.).
- Familiarity with data pipelines (ETL/ELT, orchestration frameworks like Dagster/Airflow, streaming systems).
- Exposure to security products and data (SIEM, EDR, CNAPP, vulnerability management) is a strong plus.
- Track record of leading pods/teams to deliver complex technical projects with measurable outcomes.
- Strong communication skills, with the ability to work cross-functionally with product, AI/ML, and security teams.
- Startup mindset: bias for execution, ability to operate with ambiguity, and eagerness to wear multiple hats.
•Knowledge of SOC processes, MITRE ATT&CK, or incident response workflows
Nice to Have
- Experience with AI/ML pipelines, LLM integration, or security-focused AI applications.
- Contributions to open-source projects in data, security, or AI.
- Previous experience scaling teams at an early-stage startup.
Benefits
Benefits
- Competitive salary commensurate with experience
- Generous early-stage equity with significant upside potential
- Annual performance bonuses tied to company and individual goals
- Comprehensive health coverage