Lead Engineer
Interested in this role?
At Seezo, we build at the intersection of AppSec and GenAI to make world-class security accessible to every engineering team. We're seeking a Lead Software Engineer to help us advance the capabilities of our GenAI-powered security platform.
Sandesh (ex-Head of Security @ Razorpay) and Rakshitha (ex-Head of Customer Success @ PingSafe) founded Seezo. With over 20 years of Cybersecurity experience, they have a deep understanding of the challenges faced by security teams and are committed to solving them. We are funded by Accel, one of India’s largest global VC firms.
Seezo's Culture
Writing is Thinking
Most teams rely on Slack. At Seezo, our operating system is Google Docs. Documenting helps us clarify our thoughts, communicate better, and build with intention.
Proactive involvement
If you'd like to try a quick experiment, discuss branding, or improve a workflow, go ahead. We value Proactivity in work and communication.
Love for Security
Security is not just a feature; it is the foundation of what we do. We prioritize Security in every engineering decision we make.
Engineering first
Many companies claim to be engineering-first, but for us, it is a daily reality. Our team regularly dives deep into topics such as testing practices and architecture. Quality matters at every step.
Open opinion exchange
We value different opinions. Ideas flow freely, backed by facts, experience, and sometimes emotion. Every discussion remains respectful and constructive, regardless of how spirited it becomes.
Geography
The US has the largest Cybersecurity market in the world and the largest concentration of world-class AppSec teams as well. That is why we HQ'ed Seezo in the US, and we will focus on the region heavily (including hiring leadership and technical talent). But we are in the business of selling bits, not atoms, which means we can broaden our horizon beyond the US and India (where most of our team is currently based). We want to serve industries and geographies that are traditionally underserved by our industry and help
The Opportunity
As a Lead Engineer at Seezo, you will play a key role in advancing our GenAI platform for cybersecurity. You will work at the intersection of software engineering, applied AI, LLM Ops, and security tooling, helping to build, scale, and operationalise innovative solutions that are used by engineering teams everywhere.
You will be part of a team that moves quickly. This is a unique opportunity to learn, contribute, and see your work have an immediate impact in a high-ownership environment.
The Challenge
Design and maintain robust, scalable software systems
To support AI-driven workflows across both cloud and on-prem environments.
Architect and deploy complex applications
Across AWS, Azure, GCP, and customer on-premises infrastructure.
Solve scaling and reliability challenges
For both AI and traditional software systems, ensuring robust performance as we grow.
Integrate LLM workflows into Seezo
Including code and cloud infrastructure scanning
Build and operationalise LLM evals pipelines
For cybersecurity applications.
Develop AI agents
For automating security requirement validations.
Create security-focused benchmarks and test sets
For the latest AI models
Implement monitoring, tracing, and observability
For LLM performance, reliability, and drift in production.
Why you'll love it here
Ownership
Influence product decisions, software architecture, and technical direction from day one.
Impact
Shape robust software systems and AI-powered security solutions used by real engineering teams.
Innovation
Work with the latest software engineering methodologies, GenAI, and LLMOps tools.
Growth
Learn quickly in a fast-paced, hands-on startup environment with exposure to both full-stack engineering and AI.
Learning
Dive deep into applied AI, cybersecurity, cloud and on-prem infrastructure, and large-scale distributed systems.
You'll thrive here if you
Bring experience or enthusiasm for building and maintaining complex software systems.
Enjoy designing and deploying scalable backend services in real-world scenarios.
Appreciate the operational and engineering complexity of building robust systems for cybersecurity.
Like to take initiative, own your projects, and learn new technologies quickly.
Have a solid foundation or strong interest in AI, Machine Learning, or GenAI.
Enjoy evaluating and applying AI models to real-world problems.
Are motivated by the challenge of making AI and software work for complex security problems at scale.
Bonus points for
Experience designing or maintaining scalable distributed systems
Cloud or on-prem
Expertise with cloud platforms
(AWS, Azure, GCP) and infrastructure automation (Terraform, CloudFormation).
Strong software engineering fundamentals
Including clean code, testing, and CI/CD best practices.
Contributions to open-source projects, blogging, or sharing your work
And ideas with the tech community.
Experience with LLMOps, observability, or monitoring
In ML pipelines and distributed systems.
Personal or academic projects
Involving LLMs, GenAI, or large-scale software engineering.
Background or interest in cybersecurity, secure software development
Or infrastructure-as-code
Familiarity with Prompt Engineering, RAG, frameworks like DSPy
Or scalable deployment patterns.
About the hiring process
After a short evaluation task, you can expect two to three interviews focusing on your technical ability and cultural fit. Join us to help define the future of cybersecurity and software engineering with AI!
Irrespective of the outcome, for every candidate we interview, we will provide feedback and the rationale for our decision
Interested in this role?