Senior Software 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

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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 Software Engineer at Seezo, you will help build the backbone of our GenAI-powered cybersecurity platform. This is not just about writing code for AI models—it's about building the infrastructure, applications, and distributed systems that make advanced AI work securely and reliably at scale. You will have the chance to architect, design, and ship robust software that powers next-generation security solutions for engineering teams.

We're pre-PMF and moving fast, so you will see your work in action, make high-impact decisions, and rapidly grow your technical skills.

Your mission at Seezo will include

  • Designing and building distributed systems and scalable applications to power AI-driven cybersecurity tools

  • Architecting cloud-native and on-premise solutions that can deploy, monitor, and manage AI applications across different infrastructures including AWS, Azure, GCP, and customer data centers

  • Developing reliable backend services and APIs to connect LLMs, code scanning engines, and real-time security workflows

  • Integrating advanced GenAI and LLM features into robust production software used by real customers

  • Solving challenging problems in system design, data engineering, observability, and automation for secure, high-availability environments

  • Contributing to the full SDLC: automated testing, CI/CD, deployment pipelines, and monitoring for AI and traditional services

  • Working with the latest in AI infrastructure and LLMOps to support model deployment, versioning, and evaluation pipelines

  • Collaborating with product and AI teams to transform research into production-grade, maintainable software

Why you'll love it here

  1. Ownership

Influence product decisions, software architecture, and technical direction from day one.

  1. Impact

Shape robust software systems and AI-powered security solutions used by real engineering teams.

  1. Innovation

Work with the latest software engineering methodologies, GenAI, and LLMOps tools.

  1. Growth

Learn quickly in a fast-paced, hands-on startup environment with exposure to both full-stack engineering and AI.

  1. Learning

Dive deep into applied AI, cybersecurity, cloud and on-prem infrastructure, and large-scale distributed systems.

You'll thrive here if you

  • Have strong experience or interest in software engineering, backend development, or distributed systems

  • Are excited by the challenge of building and scaling real-world applications that use advanced AI and GenAI

  • Enjoy working with cloud infrastructure, containers, CI/CD, and system automation

  • Appreciate well-architected code, robust APIs, and high-quality engineering practices

  • Are curious, proactive, and eager to learn new technologies quickly

  • Value security, reliability, and performance in everything you build

Bonus points for

  • Hands-on work with cloud platforms (AWS, GCP, Azure) or on-premise deployments

  • Experience designing scalable, distributed, or event-driven systems

  • Exposure to AI/ML infrastructure, data pipelines, or integrating AI models into production apps

  • Familiarity with API security, observability, or infrastructure-as-code

  • Open-source contributions, writing, or sharing your engineering insights with others

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