Jobs at Megazone Cloud

Lead technical strategy and delivery for VMware-to-AWS migrations and cloud infrastructure. Advise customer leadership, design target architectures, review designs/code and IaC, mentor delivery teams, and drive engagements to agreed outcomes.

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.

Lead design and delivery of scalable data platforms and pipelines on Google Cloud. Build and review Python/SQL code, drive data architecture using BigQuery and GCP tooling, own ingestion/transformation/orchestration, lead client technical discussions, prototype solutions, mentor engineers, and implement IaC, CI/CD, observability, and governance.

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 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 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 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.

Lead technical direction for large, multi-vendor AWS modernization programs. Own target event-driven and agentic architectures, review code and specifications, set engineering standards, engage VP-level stakeholders, coordinate multi-team and vendor delivery, enforce architecture governance, and produce decision records and documentation.

Modernize legacy applications into event-driven, serverless AWS architectures and build full-stack, LLM-enabled agentic solutions. Design target-state blueprints, implement backend services and front-end conversational UIs, operationalize GenAI on Bedrock, build CI/CD and IaC, ensure observability, security, and cost efficiency, and engage client stakeholders through architecture reviews, demos, and documentation.

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.