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