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: Senior Consultant or equivalent
As a Senior Consultant at Deloitte Consulting, you will design, develop, and deploy enterprise-scale software solutions, lead the creation of robust pipelines and manage code deployment across environments. You will collaborate with cross-functional, global teams to translate functional requirements into effective deliverables, independently guiding and mentoring junior team members. Your role spans the full project lifecycle, including estimation, planning, execution, and tracking key metrics for analysis, ensuring high-quality and timely delivery of solutions.
Work you’ll do:
- Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Prepare technical architecture and design, clarify requirements, and resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Create and enforce technical design and development guides, templates, and standards. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. Conduct detailed deliverable reviews and provide technical guidance to team members. Collaborate with onsite clients, coordinators, analysts, and cross-functional teams. Design templates or scripts to automate routine development or operational tasks.
Observability & Monitoring
- Implement monitoring and dashboarding solutions using Dynatrace, ensuring real-time visibility into applications, infrastructure, and services.
- Set up log monitoring using Dynatrace Grail, ensuring comprehensive log analysis and correlation.
- Define and configure custom and default alerts in Dynatrace to detect anomalies and system issues proactively.
- Develop static and dynamic alerting mechanisms to minimize noise while ensuring prompt incident detection.
- Integrate monitoring solutions with BigPanda, enabling AI-driven event correlation and incident response.
Incident & Service Management
- Establish robust incident management workflows, ensuring seamless detection, triaging, and resolution of issues.
- Work with ServiceNow for ITSM integration, ensuring structured incident tracking and resolution.
- Configure Opsgenie for on-call rotations, escalations, and automated incident notifications.
- Drive post-incident reviews to identify root causes, implement corrective actions, and improve system resilience.
Cloud & Infrastructure Automation
- Deploy, manage, and scale AWS services, including Lambda, S3, RDS, DynamoDB, EKS, IAM, Security Groups, VPC, and Route 53.
- Automate infrastructure provisioning using Terraform and ensure best practices in Infrastructure as Code (IaC).
- Implement GitHub Actions and Harness CI/CD pipelines for automating deployments and ensuring release stability.
- Utilize Docker and Kubernetes for containerized workloads and manage service mesh solutions for traffic routing and security.
Site Reliability & Performance Optimization
- Define SLOs (Service Level Objectives), SLIs (Service Level Indicators), and error budgets to enhance service reliability.
- Analyze performance bottlenecks using Dynatrace and suggest optimizations to improve system efficiency.
- Implement self-healing mechanisms, auto-scaling policies, and failover strategies to enhance system resilience.
- Champion best practices for cloud security, cost optimization, and governance across AWS environments.
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:
- 6 - 10 years of hands-on experience in Observability, DevOps, SRE.
- 5+ Years of experience in AWS services like Lambda, databases, VPC, Route53, EKS, Docker and CICD Tools.
- Hands-on expertise with Dynatrace monitoring, log analytics (Grail) and alerting.
- Experience with Terraform for IAC.
- Expertise in incident response and on-call management using BigPanda, Opsgenie and ServiceNow.
- Architect and implement enterprise-wide Dynatrace observability strategies.
- Lead performance engineering, system reliability, and continuous monitoring improvements.
- Define and enforce SLI, SLO, and SLA policies across applications and infrastructure.
- Drive incident response automation, ensuring P1 and P2 incidents are resolved efficiently.
- Reduce MTTD and MTTR by leveraging AI-driven Dynatrace Davis insights.
- Serve as a technical advisor and escalation point for complex performance issues.
- Proficiency in Docker & Kubernetes, with experience in service mesh architectures.
- Hands-on experience with CI/CD tools like GitHub Actions and Harness.
- Strong programming/scripting skills in Python, Bash, or Go for automation.
- Collaborate with stakeholders, IT leadership, and DevOps teams to enhance observability practices.
- Mentor junior engineers and conduct training sessions on Dynatrace best practices.
Good to Have Skills/Project Experience/Certifications:
- Certifications in AWS, Kubernetes (CKA/CKS), or Terraform.
- Knowledge of distributed tracing and service mesh solutions.
- Experience with auto-remediation strategies and AI-driven incident management.
Education:
- BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
Location:
- Bengaluru/Hyderabad
Shift Timings:
- 24*7 Rotational