Technical lead

2 weeks ago

Udaipur, India Metadome.ai Full time

About Metadome.ai: Metadome.ai offers a range of 3 D, AR, VR, and AI solutions designed to enable brands of all sizes. From online 3 D 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, Git Ops (Argo CD/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 (My SQL, Mongo DB, Neo4j).Proven success in scaling systems, optimizing performance, and managing production reliability.Excellent communication, mentorship, and stakeholder management skills.Bonus:Experience in Fin Tech, high-frequency systems, or MLOps.Open-source contributions or public speaking.Certifications (CKA, AWS/GCP Architect) and compliance exposure (SOC2, PCI-DSS).

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