Simbian AI

About Simbian

Simbian is at the forefront of cybersecurity innovation, leveraging purpose-built AI Agents to deliver 10x security outcomes for global enterprises and MSSPs. Our platform autonomously investigates and responds to alerts, freeing security teams from repetitive tasks. Simbian combines privacy-first technology, proven integration with 70+ enterprise tools, and rapid deployment for measurable value. Role

Overview

We are seeking a collaborative, innovative DevOps Engineer passionate about enabling secure, scalable operations for cutting-edge cybersecurity products. Join our team during a period of high growth and help architect the future of agentic AI security platforms.

Key Responsibilities

• Kubernetes Management:

o Manage and maintain production-grade Kubernetes clusters across multiple cloud providers (AWS is essential, Azure is valuable, GCP is a plus).

o Deploy, upgrade, troubleshoot, and scale stateful and stateless workloads (NGINX, Postgres, MongoDB, OpenCTI, OpenSearch, Kafka, Hadoop, Fluentd) in Kubernetes.

• Cloud Operations:

o Operate and optimize cloud environments, with strong expertise in AWS (AWS Certified Solutions Architect Professional or equivalent Azure cert preferred).

o Design, deploy, and manage infrastructure on AWS and Azure (GCP optional). • SQL Database Management:

o Administer SQL databases, ideally Postgres, on Kubernetes clusters or cloud VMs.

o Perform routine maintenance, backups, upgrades, monitoring, and optimization.

• Infrastructure as Code:

o Build, install, upgrade, and maintain Helm charts with expertise.

o Use and understand Ansible for cloud automation (AWS/Azure), and Terraform for infrastructure provisioning.

• Monitoring, Logging, Observability:

o Implement and manage logging and metrics stacks using OpenSearch/Elasticsearch, Prometheus, Grafana, Thanos or similar open source tools.

• Programming & Scripting:

o Develop automation scripts in Bash (proficient with control structures). o Produce scripts or microservices in Node.js (preferred) or Python/Django (bonus).

• CI/CD:

o Build and maintain CI/CD pipelines preferably using GitHub Actions (Jenkins or equivalent is acceptable).

• Containerization:

o Create, manage, and troubleshoot Docker/Podman containers, images, volumes, and use Docker Compose for local development.

• Customer-Facing On-Prem Deployments (Bonus):

o Install, configure, and support Kubernetes on customer premises.

o Demonstrate ownership, initiative, and strong customer communication skills.

o Solid knowledge of Linux administration, networking, and cloud environments.

What You’ll Bring:

• 4+ years’ experience in DevOps, SRE, or Production Engineering.

• Mastery of Kubernetes, AWS, infrastructure automation, and database management.

• Strong collaborative, curious, and growth-driven mindset.

• Ability to challenge ideas, drive innovation, and embrace rapid change.

• Excellent communication for technical customer interactions.

Why Join Simbian?

• Work with pioneering agentic AI security—impact global security teams.

• Shape infrastructure for privacy-first technology in a high-growth startup.

• Enjoy a dynamic remote-first work culture with opportunities for ownership and advancement. 

About Us Simbian® is building Agentic AI platform for cybersecurity. Founded by repeat successful security founders, we have gathered an excellent cohort of employees, partners, and customers. Our mission is to solve security using AI and our core values are excellence, replication, and intellectual honesty.

Our promise is to make Simbian the best workplace of your career and we believe a small group of thoughtful passionate people can make all the positive difference in the world. To fuel our fast growth, we are seeking an exceptional candidate who shares our core values of excellence (being the world's best at our craft), replication (share your best ideas with others), and intellectual honesty (tell the truth even if it's bitter).

Our AI Agents automate security operations and provide our customers 10x leverage. Our customers include some of the world's largest companies.

Our initial use cases include: SOC alert triage and investigation Prioritization and classification of vulnerabilities AI based threat hunting

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.

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.

Nice to Have

• Experience with AI/ML pipelines, LLM integration, or security-focused AI applications.

• Knowledge of SOC processes, MITRE ATT&CK, or incident response workflows.

• Contributions to open-source projects in data, security, or AI. • Previous experience scaling teams at an early-stage startup.

Benefits

• Competitive salary commensurate with experience

• Generous early-stage equity with significant upside potential

• Annual performance bonuses tied to company and individual goals

Budget- under 90L annually