Technical Lead

About Metadome.ai :

Metadome.ai offers a range of 3D, AR, VR, and AI solutions designed to enable brands of all sizes. From online 3D product configurators, and virtual showrooms, to personalised product recommendations, virtual try-ons, facial recognition, virtual reality, and augmented reality experiences, we help sales teams take their customer journeys to an immersive and interactive new frontier. We have an office presence in India & US, and with 6+ years of expertise in the XR domain, the company is a go-to option for global brands to drive real business outcomes with enhanced engagement & conversions.

About the Role :

We’re looking for an experienced Tech Lead to architect and build scalable distributed systems and complex data pipelines . You’ll lead a team of talented engineers, shape our backend architecture, and drive high-impact technical initiatives. This is your chance to shape technical strategy, build high-performing teams, and influence system architecture at scale. We value innovation, ownership, and engineering excellence.

What you will do :

Lead the design & implementation of distributed systems , microservices , and event-driven architectures using Go, Kafka, and Kubernetes .

Architect scalable, fault-tolerant data pipelines and optimize system performance.

Drive infrastructure automation with Kubernetes , GitOps (ArgoCD / Flux) , and cloud-native practices.

Oversee monitoring & observability using Prometheus, Grafana, ELK, and distributed tracing.

Mentor and manage a team of 5–8 engineers — fostering growth, leading sprints, and improving delivery metrics.

Collaborate with Product & Business teams to define roadmaps and lead major architectural decisions.

What you bring :

7–10 years in software engineering, with 4+ years in distributed systems.

2+ years of team leadership or technical lead experience.

Deep expertise in Go , Kafka , microservices , and Kubernetes .

Strong grasp of database design & optimization (MySQL, MongoDB, Neo4j).

Proven success in scaling systems , optimizing performance , and managing production reliability .

Excellent communication, mentorship, and stakeholder management skills.

Bonus :

Experience in FinTech , high-frequency systems , or MLOps .

Open-source contributions or public speaking.

Certifications (CKA, AWS / GCP Architect) and compliance exposure (SOC2, PCI-DSS).