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 4+ years of experience in SRE, Cloud platforms, or DevOps with large-scale microservices in production environments.
- Experience in designing the SRE architecture as per the business use case taking into consideration high availability, DR environment, different deployment strategies, auto-scaling, load/traffic management, etc.
- Hands-on experience with scaling distributed systems in public, private, or hybrid cloud environments.
- Experience with automated configuration tools like Ansible and Terraform
- Good handson in managing deploying Cloud Services, Monitoring, Alerting, and Handling Escalations
- Experience with Container Orchestration including Kubernetes, Helm Charts, and Docker
- Strong understanding of SRE principles, including error budgets, SLOs, and SLAs.
- Proficiency in incident, change, and problem management processes.
- Detect and resolve application-level incidents (e.g., crashes, slow response times).
- Collaborate with development teams to address defects and improve code quality.
- Automate repetitive tasks (toil) related to application operations.
- Conduct root cause analysis (RCA) for application failures.
- Implement and test new releases to ensure stability and reliability.
- Enhance customer experience by minimizing downtime and improving app responsiveness.
- Ensuring application changes do not introduce reliability risks.
- Leading and Managing day-to-day operations of business applications and platforms.
- Experience with streaming data infrastructure services, such as Kafka and Spark.
- Expertise in building and operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus).
- Proficiency in one of the programming languages such as Python, Go, Perl, or Ruby.
Good to Have Skills/Project Experience/Certifications:
- Experience designing and building reliable systems capable of handling high throughput and low latency
- Experience with observability and monitoring systems such as Dyantrace, Kibana, Datadog, etc.
- Familiarity with working in rapid growth environments
- Experience in Ansible, Terraform, YAML/Shell scripting
- Experience with AWS, GCP, Azure, or other cloud environment
- Experience designing and building reliable systems
- Experience working in a highly regulated environment
Education:
- BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
Location:
- Bengaluru/Hyderabad/Pune