Lead Engineer

Company: Ensemble Global

Key Skills: Agentic AI, LLM, AI/ML, Python, Machine Learning, Data Science, ETL, CICD

Roles and Responsibilities:

• Build self-service platform capabilities, reusable templates, and automation to help engineering teams provision, deploy, and operate cloud workloads efficiently.
• Support Azure subscription decomposition and cloud landing zone initiatives, including subscription strategy, resource organization, environment separation, RBAC, policy, governance, and secure connectivity.
• Build and maintain reusable modules for cloud infrastructure, including identity, compute, messaging, monitoring, security, and core networking components.
• Drive DevX and engineering excellence initiatives, including golden paths, reusable engineering templates, standardized CI/CD patterns, automated quality gates, and self-service workflows.
• Partner with security, architecture, and application teams to define secure-by-default infrastructure patterns, including identity-based access, secrets management, policy-driven guardrails, and secure platform standards.
• Enable application teams with standardized deployment patterns that include security, observability, compliance, and operational readiness built into reusable templates.
• Establish observability standards and platform guardrails to improve monitoring, troubleshooting, reliability, and operational maturity across application teams.
• Enable engineering teams to adopt approved AI tools, automation patterns, and platform capabilities to improve productivity, quality, and delivery efficiency.

Skills Required:

• Strong hands-on experience with cloud platforms, preferably Microsoft Azure, including PaaS services, security, governance, cloud networking, secure connectivity patterns, and operational practices
• Strong hands-on experience with cloud platforms, preferably Microsoft Azure, including cloud native application hosting, platform services, security, governance, cloud networking, secure connectivity and operational practices.
• Understanding of cloud governance and secure-by-default platform patterns, including RBAC, policy as code, tagging, secrets management, compliance, and guardrails.
• Strong experience with Terraform or similar Infrastructure as Code tools
• Experience building or supporting self-service platform capabilities, reusable templates, automation workflows, and standardized engineering patterns.
• Hands-on experience with CI/CD platforms such as Azure DevOps, GitHub Actions or similar tools, including reusable pipeline templates and automated deployment workflows.
• Good understanding of distributed systems and event-driven architectures.
• Strong understanding of observability practices, including logging, metrics, tracing, dashboards, alerts, production monitoring, troubleshooting and SLO/SLA tracking.
• Experience working with engineering teams to drive DevX or engineering excellence initiatives, including golden paths, reusable templates, quality gates, documentation, and platform adoption.
• Exposure to AI-assisted engineering tools or automation practices to improve developer productivity, code quality, and delivery efficiency.
• Strong problem-solving, communication, and collaboration skills with the ability to work across platform, security, architecture, and application teams.

Education: Bachelor's Degree in Engineering