Jobs at MX Build Technologies India Private Limited

Design and maintain scalable GCP-based data pipelines and MLOps workflows. Productionize, deploy, monitor, and optimize ML models (Vertex AI, Ray). Manage Kubernetes (GKE) clusters, build CI/CD for ML with Docker, implement real-time streaming (Apache Flink), and apply advanced techniques like Data Sketches for performant financial analytics.

Design, build, secure, and operate cloud foundations (primarily AWS, with GCP support). Develop IaC (Terraform) modules, CI/CD pipelines, guardrails, and automated policy enforcement. Contribute to architecture, incident triage, audit readiness (SOC 2/PCI), and collaborate across platform, SRE, security, network, and application teams to ensure secure, reliable, and compliant cloud platform capabilities.

Lead detection and response efforts: triage Devo SIEM alerts, perform investigations and threat hunting, develop detections/enrichments/automations, unify vulnerability data from Snyk/Tenable/CrowdStrike into aggregators, serve as incident commander, improve SOAR/workflows, and support PCI DSS compliance and reporting.

Design and build scalable AI developer platforms and LLM gateways, enable agentic systems and developer SDKs, integrate AI across the SDLC, implement observability and governance, optimize cost and performance, and collaborate with platform, SRE, security, and product teams to productionize AI capabilities.

Build and operate an observability control plane: automate Datadog/Terraform monitors and dashboards, run audits and maturity assessments, own monthly observability health reports, reduce alert fatigue, enable self-serve onboarding, rotate on shared on-call as Incident Commander, and close detection gaps after incidents.

Lead the Platform Engineering & Automation team to improve developer productivity, CI/CD reliability, and build a shared AI platform. Define and execute multi-quarter platform roadmaps, track engineering health metrics, manage release and risk processes, and evolve internal service catalog and release gate policies to reduce deployment risk and accelerate feature delivery.