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:

Tech Lead

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 58 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:

• 710 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).