Principal Software Engineer – AI Security

Cyberhaven

Principal Backend Software Engineer at Cyberhaven, developing data security solutions for AI tools and applications. Shape the architecture of innovative products handling sensitive data workflows across platforms.

Posted 7/23/2026full-timeRemote • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and optimizing large-scale, fault-tolerant systems, with a strong focus on security and performance analysis. Proficient in developing applications using Go and managing databases at scale, while effectively communicating with distributed teams.

Highest-signal resume keywords

Go ProgrammingMicroservices ArchitectureKubernetes ManagementPerformance OptimizationAPI Integration

ATS Keywords

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Hard Skills

Large-Scale System ArchitectureDatabase ManagementPerformance AnalysisSecure Software DevelopmentDistributed Systems

Soft Skills

Excellent Communication SkillsCustomer-Centric MindsetMentorship

Tools & Technologies

GCP BigTableGCP BigQueryGCP SpannerDockerRedisEtcd

Industry Keywords

AI-Related EventsGenAI ApplicationsSaaS IntegrationReal-Time ProcessingFault-Tolerant Systems

Tech Stack

Tools & technologies

BigQueryDockerGoGoogle Cloud PlatformKubernetesMicroservicesRedis

About the role

Key responsibilities & impact

Architect, extend, and optimize a large-scale, highly scalable, fault-tolerant system that handles large graph datasets at enterprise scale processing billions of AI-related events from hundreds of thousands of endpoints in real time, with sub-second latency requirements.
Set technical direction for how Cyberhaven secures data flowing into and out of AI models, GenAI applications, and agents, shaping architecture decisions that will define this product line for years to come.
Architect and implement security features that protect customer data end-to-end.
Solve real-world scaling problems that require thorough performance analysis and troubleshooting.
Work with a modern, constantly evolving microservices based stack including Go, Kubernetes, BigTable, BigQuery, Spanner, Redis, Docker, and Etcd.
Design and build connectors that integrate at the API level with SaaS and AI platforms commonly used in the enterprise (e.g. ChatGPT, Copilot, and other GenAI tools).
Write secure-by-design, hardened software that withstands real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet.
Raise the technical bar across the team through architecture reviews, mentorship of senior/staff engineers, and setting patterns others follow.

Requirements

What you’ll need

You have a strong track record building backends that are actively used at scale, and you've contributed significantly to and extended their architecture, not just shipped features.
You have deep, hands-on experience developing large applications in Go.
You've operated databases at very large scale. Knowledge of GCP services (BigTable, BigQuery, Spanner) is a plus.
You have experience profiling and optimizing distributed code that uses large databases and streaming platforms.
Experience building connectors that integrate at the API level with SaaS applications commonly used in the enterprise is a plus, especially with AI/LLM platforms.
You have hands-on production experience with microservices and Kubernetes.
You have excellent verbal and written communication skills in English, and can be available to frequently communicate with distributed teams in Europe and the US.
You thrive in fast-paced environments tackling ambiguous challenges, and you enjoy shipping with velocity.
You have a customer-centric mindset and enjoy direct feedback from customers.
You are based in India or the EU.

Benefits

Comp & perks

Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer.