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: Consultant or equivalent
As an experienced Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
Work you’ll do:
Apply industry knowledge to requirements gathering and analysis, ensuring alignment with sector needs. Demonstrate expertise across the entire software development lifecycle, from design and coding to deployment and defect resolution, collaborating with stakeholders for effective delivery. Conduct peer and team reviews to maintain quality standards. Actively engage in Agile practices, including sprint planning, retrospectives, and effort estimation. Build and share business process knowledge, supporting project knowledge management and team training. Proactively recommend process improvements, track efficiency gains, and contribute to automation and innovation, all aimed at enhancing project outcomes and delivering greater value to clients.
The team:
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client’s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Qualifications
Must Have Skills/Project Experience/Certifications:
Minimum of 3 – 6 years of experience in CI/CD orchestrator tools Jenkins or GitHub Actions, Gitlab, Bamboo.
Handson experience in Infrastructure as a code using Terraform, Pulumi, AWS Cloud formation templates or ARM Templates, Ansible to setup tools and services
Having hands-on experience in scripting in YAML, JSON, Groovy, Shell, PowerShell
Experience in container orchestration using Docker, Docker swarm, Kubernetes, OpenShift, Rancher
Experience in deploying microservices in Kubernetes environments and writing orchestration files.
Good understanding of different branching strategies suitable for different release strategies.
Experience in managing monitoring tools leveraging either of Dynatrace/Splunk/Data Dog/App Dynamics
Ability to quickly learn and deliver on new technologies not previously experienced.
Ability to communicate clearly across teams in the project.
Having good understanding on either of the Cloud Platforms AWS/Azure/GCP to integrate with applications
Good to Have Skills/Project Experience/Certifications:
Understanding and hands-on experience on implementing Observability capabilities using Dynatrace, Datadog, AppDynamics, ELK Stack, Splunk
Understanding and hands-on experience on implementing SRE capabilities like implementing SLO/SLI, Tol, Error budgeting, Auto-remediation/Auto-healing capabilities, Application Performance and reliability
Education:
BE/B. Tech/M.C.A./M.Sc. (CS) degree or equivalent from accredited university
Location:
Bengaluru/Hyderabad/Pune