Full Stack Engineer (Backend Heavy)

• You will design and build foundational pieces of our agentic security platform, from AI agents
• that investigate real incidents to the distributed systems that keep them fast, safe, and reliable for
• dozens of security teams. You’ll work closely with founders, product, and security experts to
• turn messy real‑world Security operations like SOC, ThreatHunt, Pentest, Security device
• management etc. into elegant, scalable product experiences.
• You may own one vertical deeply or work across several in the same project when needed.

In

your first few months, you will:

• Own end-to-end design & delivery of features you take up
• Ship platform, agent, or integration capabilities at high velocity
• Collaborate not just with product & engineering leaders, but also sales, marketing, and

customer-facing teams to shape what we build and why

• Deploy features into live production environments, with ownership beyond delivery —

including monitoring, stability, and iteration post-launch

What You’ll Work On

Your work may include

AI + Agent Systems

• Building agents for SecOps → Develop autonomous agents that investigate alerts, triage

threats, respond, and close cases with minimal human input.

• Designing tool schemas, workflows, memory stores for agents → Define structured

tool interfaces, execution paths, and long-term memory for reasoning across tasks.

• LangGraph based flows for agents (or another agentic framework) → Build multi

step agent workflows with branching logic, retries, validation, and conditional tool

calling.

• Safe-execution loops with guardrails, policy layers, and approvals → Ensure agents

operate within risk boundaries using policy controls and human-review checkpoints.

Platform & Architecture

• Building high-scale, multi-tenant backend systems→ Architect services that securely

support many customer environments in parallel without resource collisions.

• Designing ingestion, indexing & agent memory retrieval layers → Build pipelines that

ingest customer security data, store it as agent-accessible memory, and retrieve relevant

context instantly.

• Implementing evaluation pipelines & scoring frameworks for agents → Measure

agent quality using scoring metrics, test harnesses, regressions, and continuous feedback

signals.

• Distributed execution, traceability, observability & data quality → Enable high

volume workloads with strong logging, metrics, monitoring, and correctness guarantees.

Security & Product Engineering

• Real-time incident lifecycle automation end-to-end → Automate detection →

enrichment → investigation → response with minimal human touch.

• Attack simulation & golden dataset creation → Generate controlled attack scenarios to

evaluate agents and build benchmark datasets for continuous improvement.

• SIEM, SOAR, EDR, NDR style integrations → Integrate with enterprise security

products, ingest telemetry, push remediation actions, and unify signals across the stack.

This is a place where engineers ship, own, iterate, observe, and improve.

Requirements

You’ll Thrive Here If You

• Think in systems
• Like solving undefined problems, not following tickets
• Understand distributed systems + AI fundamentals deeply
• Enjoy reading RFCs, research papers & learning new tech

Must Have

• Strong backend development experience (Python/Go/Node preferred)
• Solid understanding of distributed systems fundamentals
• Experience with microservices, async execution, event streams
• Familiarity with cloud infra (AWS/GCP/Azure), containers, CI/CD
• Ownership mindset — ability to take a problem from zero → shipped

Bonus / Great to Have

• Worked on SIEM, SOAR, EDR platforms OR cyber security data pipelines
• Knowledge of RAG, vector DBs, embeddings, Eval frameworks
• LangChain / LangGraph / agent implementations
• Obsessed with writing clean tests, docs, and elegant abstractions

PS: WE ARE VERY PARTICULAR ABOUT YOUR PEDIGREE. WE WILL PREFER IF YOU HAVE STUDIED FROM IIT'S, BIT'S, VIT, AND NIT

Benefits

Why Join Us?

• Build an AI-first SOC platform from scratch
• Work directly with founders/leaders on architecture, product direction.
• Ship fast, learn fast, own deeply
• Be there early — where impact compounds