Departments / Engineering
Where systems that ship to production are built. Models, infra, product. Small teams, owned scope, written-first culture.
Lead the architecture, integration, and long-term technology strategy across AI, Quantum Computing, Robotics, HPC, IoT, Cloud, and Enterprise Platforms.
Enterprise Architecture · Solution Architecture · Artificial Intelligence · Large Language Models (LLMs) + 16 more
Making our platform genuinely usable by everyone — screen readers, keyboard navigation, WCAG compliance — a real engineering discipline, not an afterthought checklist.
WCAG standards · Screen-reader testing · HTML/ARIA · Accessibility testing tools + 1 more
Decentralised identity (DID/verifiable credentials) connects directly to our own credential-verification work — studied as a research-and-prototyping domain.
Decentralised identity standards awareness · JavaScript/TypeScript · Cryptography fundamentals · Documentation + 1 more
The infrastructure layer behind Web3 applications — nodes, indexing, wallet integration — distinct from writing the contracts themselves.
Web3.js/Ethers.js or equivalent · Node operation basics · JavaScript/TypeScript · Documentation + 1 more
Writing, testing, and auditing smart contracts — a specific and demanding software discipline where bugs are financially unforgiving, studied here as applied research.
Solidity or equivalent · Smart-contract testing frameworks · Blockchain fundamentals · Security awareness + 1 more
Building the logs, metrics, and traces that let engineers actually understand what a distributed system is doing — the difference between guessing and knowing during an incident.
Observability tools (Prometheus/Grafana/OpenTelemetry or equivalent) · Logging/metrics/tracing concepts · Scripting · Documentation + 1 more
FinOps — making cloud spending visible, accountable, and optimised — matters directly to us as a self-funded company where every rupee of infrastructure cost is real.
Cloud billing/cost tools · Spreadsheet modelling · FinOps fundamentals · Analytical thinking + 1 more
Designing how systems should be structured in the cloud — a design discipline distinct from day-to-day infrastructure operations.
Cloud architecture patterns · System design fundamentals · Cost modelling · Documentation + 1 more
Hands-on container-orchestration internship — deploying, scaling, and debugging services on Kubernetes, a genuinely deep and marketable skill.
Kubernetes fundamentals · Docker · YAML/Helm basics · Linux + 1 more
Work close to the metal — performance-critical code, memory management, and low-level systems that other software depends on.
C/C++/Rust · Memory management concepts · Profiling tools · Operating systems fundamentals
Help keep our platforms fast and available — monitoring, alerting, and post-incident learning, the discipline behind uptime.
Linux · Monitoring tools (Prometheus/Grafana) · Basic scripting · Incident-response awareness
Support the reliability and scalability of our core infrastructure — servers, databases, networking — that every product depends on.
Linux administration basics · Database fundamentals · Networking basics · Monitoring tools awareness