Jobs at Megazone Cloud

Lead architecture and delivery of scalable AWS data platforms and pipelines using Databricks or Snowflake. Build automated Python/SQL ETL, define data models, set code standards, mentor engineers, and drive data strategy across cross-functional teams.

Design, build, and support secure, highly available cloud environments across AWS/Azure/GCP. Implement landing zones, networking, IAM, and security baselines; provision compute/storage/databases via IaC; develop CI/CD and DevSecOps pipelines; containerize and orchestrate applications; configure observability and SRE practices; produce FinOps reports and technical documentation.

Design, build, and support secure, high-availability cloud environments. Implement landing zones, networking, IAM, and security baselines. Automate provisioning with IaC, maintain CI/CD pipelines, containerize and orchestrate applications, configure observability and SRE practices, run FinOps reporting, and produce design documents and handovers.

Lead design and delivery of enterprise-scale AI/GenAI platforms and Databricks architectures across major cloud providers. Drive technical strategy, client discovery, reference architectures (data pipelines, feature stores, model training, vector DBs, real-time inference), mentor teams, define responsible-AI and security best practices, and represent the firm externally.

Support cloud migration and modernization projects by assisting planning, scheduling, documentation, risk tracking, stakeholder coordination, and status reporting. Translate requirements into tasks, monitor progress, escalate blockers, and apply basic cloud delivery concepts under senior guidance.

Design, build, and operate secure, highly available cloud environments using IaC, CI/CD, and DevSecOps. Implement networking, IAM, compute, storage, serverless, containers, observability, FinOps, and SRE practices; produce design docs and automation pipelines to migrate and optimize workloads on AWS/Azure/GCP.

Design, build, and scale resilient data pipelines and infrastructure on AWS. Own the data ecosystem using Databricks or Snowflake, write production-quality Python and SQL code, collaborate with cross-functional teams, and prepare data for analysis and product use in a fast-moving startup environment.

Design, build, and support secure, highly available cloud environments across AWS/Azure/GCP using IaC, CI/CD, containers, serverless, and observability. Implement networking, IAM, pipelines, monitoring, FinOps reporting, and create design docs and handover guides while applying DevSecOps and SRE practices.

Embed with customers to design, prototype, and deliver LLM-powered production systems and agentic workflows. Own end-to-end architecture, cloud AI setup (Bedrock, SageMaker, Vertex AI), DevSecOps, adoption programs, metrics, and enablement; mentor engineers and support go-live and hyper-care.

Manage, optimize, and troubleshoot complex Azure environments for multiple clients. Provision and maintain Azure resources, implement IaC (Terraform/Bicep/ARM), enforce identity and security controls, monitor performance, manage costs, implement backup and disaster recovery, provide L3 support and RCA, and engage with clients on infrastructure health and projects.