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