Senior Team Lead | Engineering, AI & Data - Engineering | Azure | Bangalore
Deloitte
Deloitte
Join our Engineering, AI & Data team as a Senior Team Lead, focusing on Azure technologies. You will play a pivotal role in transforming technology platforms, modernizing systems, and implementing innovative digital solutions.
This role offers the opportunity to drive financial performance, accelerate new digital businesses, and fuel growth through cutting-edge engineering practices. Embrace innovation and contribute to a dynamic team environment.
Apply deep industry knowledge to gather and analyze requirements, ensuring alignment with sector needs. Oversee the entire software development lifecycle, from design and coding to deployment and defect resolution, collaborating effectively with stakeholders.
Conduct peer and team reviews to uphold quality standards and actively participate in Agile ceremonies like sprint planning and retrospectives. Build and share business process knowledge to support project knowledge management and team training. Proactively recommend process improvements, track efficiency gains, and drive automation and innovation to enhance project outcomes and deliver exceptional client value.
We are seeking a Senior Team Lead with 3-6 years of experience in designing and implementing CI/CD pipelines using Azure DevOps Services and GitHub Actions. A strong foundation in infrastructure provisioning with IaC tools such as Terraform, ARM/Bicep, and Ansible is essential.
Your expertise should include setting up landing zones, configuring auto-scaling and auto-provisioning, and managing multi-account environments. Proficiency in scripting with YAML/JSON, and automation using Shell, Python, or PowerShell is required. Hands-on experience with Cloud Native Services like Azure Functions, App Service, AKS, Storage, and SQL Database is crucial.
Solid understanding of branching strategies (e.g., Git Flow, trunk-based development) and experience deploying microservices in Kubernetes, including writing Helm charts or Kubernetes manifests, are key. Familiarity with monitoring and observability tools such as Azure Monitor, Log Analytics, and Application Insights is expected. The ability to quickly learn new services and DevOps tools, combined with strong communication skills for cross-functional collaboration, is vital.
Deloitte
IT Consulting