Artificial Intelligence & Engineering
AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These insights are powered by engineering for business advantage, helping transform mission-critical operations.
Join our AI & Engineering team to help transform technology platforms, driving innovation, and help make a significant impact on our clients' achievements. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that could be critical to businesses.
Position Summary
Level: Analyst or equivalent
As an experienced Analyst at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines.
Work you’ll do:
Leverage proficiency in adjacent technologies beyond core skills to enhance project outcomes. Proactively identify and communicate issues or risks to team leads, and complete assigned technology learning on schedule. Quickly adapt to project-specific tools and gain understanding of client business processes or industry fundamentals. Support process improvements, automation, and innovation while maintaining up-to-date project documentation. Contribute to tracking delivery metrics and lead knowledge-sharing sessions on processes and technology trends. Participate in team building, defect management, and compliance activities. Demonstrate ownership of deliverables and actively engage in ideation and development of tools, accelerators, and innovative solutions.
• Develop CI/CD pipelines through Azure DevOps and administer DevOps tools.
• Build and operate the client infrastructure on Microsoft Azure.
• Build and operate automations through IaC.
• Implement and maintain automated CI/CD pipelines for applications across development, testing, and production environments.
• Implement monitoring and logging for infrastructure and applications.
• Collaborate with development, operations, and security teams to establish best practices for software development, build, deployment, and infrastructure management.
• Automate tasks related to IAM, monitoring, backup, patching, and vulnerability remediation.
• Documentation, weekly/bi-weekly deck preparation, KB article updates.
• Train and knowledge transfer to junior resources.
• Handover and on-call support during weekends on a rotational basis.
The Team:
At Hybrid Cloud Infrastructure we deliver solutions spanning Hybrid Cloud, Advanced Connectivity, AI Data Centers, High-Performance Computing, and AI Infrastructure to help clients achieve their desired outcomes. Our offerings include engineered transformation services for hybrid cloud infrastructure and platforms, prioritizing resiliency, optimization, and extensive automation. We integrate advanced connectivity with AI infrastructure and enterprise networks to boost operational efficiency and enable real-time data processing. Additionally, we provide comprehensive management of all facets of operations for hybrid cloud infrastructure and field operations.
Qualifications
Must Have Skills/Project Experience/Certifications:
• 2–3 years of hands-on experience in Azure Cloud, Azure DevOps, Jenkins, Terraform, Ansible, Git, JIRA, JFrog, etc.
• Understanding of 2-tier, 3-tier, or multi-tier architecture.
• Experience on Azure DevOps.
• Understanding of Agile methodology.
• Experience on Git branching strategy.
• Experience with monitoring tools such as Azure Monitor, DataDog, Dynatrace.
• Experience with PowerShell, Shell, and Python.
• Associate/Professional level certification on Azure fundamentals, architecture, and DevOps.
• ITIL Foundational certification.
• Certification on Terraform or Kubernetes.
• Good interpersonal and communication skills.
• Flexibility to adapt and apply innovation across various business domains and apply technical solutions and learnings across different industries.
• Knowledge and experience working with Microsoft Office tools.
Good to Have Skills/Project Experience/Certifications:
• Understanding of container technologies such as Docker, Kubernetes, and OpenShift.
• Understanding of application and other infrastructure monitoring tools.
• Understanding of end-to-end infrastructure landscape.
• Experience with virtualization platforms.
• Knowledge of Chef, Puppet, Bamboo, Concourse, etc.
• Knowledge of Microservices, DataLake, Machine Learning, etc.
Education:
• BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from an accredited university.
Location:
• Bengaluru / Hyderabad / Pune
Shift Timings:
• 24*7 Rotational