A fast-growing, established global Cybersecurity company developing an advanced AI-powered platform for enterprise communication security and real-time threat prevention.
Operating at the intersection of machine learning and large-scale data analysis, the company's automated detection engine protects enterprise organizations worldwide by mitigating sophisticated cyber threats within seconds.
The organization pairs market stability with an agile, high-impact engineering culture driving cutting-edge AI platform development.
The company is located in the Central region adjacent to a major train hub and operates on a flexible hybrid model with two days working from home.
Role Description-
- Serving as an AI Platform & Infrastructure Team Lead, reporting directly to the R&D Director and leading a focused engineering team of 2 developers with a heavy Hands-on (70–80%) architectural and technical focus.
- Spearheading the design, architecture, and deployment of the company's next-generation AI Platform and Agentic Development ecosystems.
- Architecting and building autonomous AI Agents, Skills, and Model Context Protocol (MCP) integrations to automate complex threat-analysis workflows.
- Elevating internal Developer Experience (DevX), system performance, deployment velocity, and core platform reliability across distributed engineering environments.
- Designing and maintaining resilient, scalable cloud-native backend services operating under High Scale and ultra-Low Latency enterprise demands.
- Providing direct mentorship, code reviews, and career growth for team members while shaping the platform's long-term technical roadmap.
Requirements-
- Proven hands-on track record in Backend Software Engineering and Distributed Platform Architecture (language-agnostic; strong preference for Python) – Mandatory
- Hands-on engineering experience building with Generative AI, Autonomous AI Agents, LLM orchestration frameworks, or Agentic workflows (Skills, Tools, MCPs) – Mandatory
- Technical leadership experience leading an engineering squad or team (prior experience managing an Infrastructure / Platform / Core team is highly preferred; leadership does not strictly need to be from the most recent role) – Mandatory
- Deep, hands-on expertise in Cloud-Native ecosystems: Public Cloud (AWS/GCP), Kubernetes, Microservices, CI/CD pipelines, and Developer Experience (DevX) – Mandatory
- Proven background architecting and scaling production systems handling High Scale and Low Latency throughput – Mandatory
- Bachelor’s Degree (B.Sc.) in Computer Science, Software Engineering, or an equivalent technical discipline – Mandatory
- Strong communicative, collaborative, and people-management capabilities paired with deep architectural problem-solving skills – Mandatory
- Background in the Cybersecurity domain – Advantage
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