Senior Team Lead | Engineering, AI & Data - Engineering | Azure | Bangalore (Bengaluru, IN)

Deloitte

3–6 yrs Coimbatore, Bengaluru Full Time Work from office
Deloitte logo
Posted : today
Actively hiring

Job description

Join our dynamic Engineering, AI & Data team focused on revolutionizing mission-critical operations. We leverage cutting-edge engineering practices, deep industry insights, and AI-driven analytics to transform technology platforms.

Collaborate with a talented team to modernize existing systems or implement groundbreaking new products and platforms. Drive innovation that enhances financial performance, accelerates digital business growth, and fuels overall expansion.

Learn more about our impactful work in Engineering, AI, and Data.

Responsibilities

Apply your industry expertise to gather and analyze requirements, ensuring they align with sector-specific needs. Oversee the entire software development lifecycle, from initial design and coding through deployment and defect resolution.

Conduct peer and team reviews to uphold stringent quality standards. Actively participate in Agile ceremonies, including sprint planning, retrospectives, and effort estimation.

Build and share comprehensive business process knowledge, contributing to project knowledge management and team development. Proactively recommend process enhancements, monitor efficiency gains, and drive automation and innovation to maximize project outcomes and client value.

Qualifications

Requires 3-6 years of experience in designing and deploying robust CI/CD pipelines using Azure DevOps Services and GitHub Actions.

Possess strong hands-on experience with Infrastructure as Code (IaC) tools like Terraform, ARM/Bicep, and Ansible for provisioning.

Demonstrate experience in configuring landing zones, auto-scaling, auto-provisioning, and managing multi-account cloud environments.

Proficient in scripting with YAML/JSON and automation using Shell, Python, or PowerShell. Experience with Cloud Native Services such as Azure Functions, App Service, AKS, Storage, and SQL Database is essential.

Solid understanding of branching strategies (e.g., Git Flow) and experience deploying microservices in Kubernetes, including writing Helm charts or Kubernetes manifests. Familiarity with monitoring tools like Azure Monitor and Application Insights is crucial.

Ability to rapidly learn and apply new services and DevOps tools, coupled with strong communication skills for cross-functional collaboration.

Essential Skills

Azure DevOpsCI/CDTerraformIaCAnsibleYAMLJSONShell ScriptingPythonPowerShellAzure FunctionsAzure App ServiceAKSAzure StorageAzure SQL DatabaseGitKubernetesHelm ChartsAzure MonitorLog AnalyticsApplication InsightsAgile MethodologiesScrumCloud Native ServicesDevOpsMicroservices

Good to Have

GitHub ActionsBicepGit FlowTrunk-based DevelopmentDockerIAM PoliciesEncryptionAudit LoggingMicrosoft Certified: DevOps Engineer Expert (AZ-400)

Highlights

  • Actively hiring

More Details

RoleSenior Team Lead | Engineering, AI & Data - Engineering | Azure | Bangalore (Bengaluru, IN)
DepartmentData Engineering, DevOps / Cloud
Employment TypeFull Time, Work from office

About the Company

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Deloitte

IT Consulting

Senior Team Lead | Engineering, AI & Data - Engineering | Azure | Bangalore (Bengaluru, IN) at Deloitte | SkillMX | SkillMX