About the role
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.
RequirementsYou’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
BenefitsWhy 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