Observability Engineer - Analyst

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.
• Assist in configuring and maintaining Dynatrace OneAgent, ActiveGate, and dashboards.
• Monitor application performance, infrastructure health, and alerting mechanisms.
• Support incident management processes using BigPanda and ServiceNow.
• Collaborate with the IT operations team to classify and escalate P1, P2, P3, and P4 incidents.
• Assist in tracking SLI, SLO, and SLA compliance and generating performance reports.
• Contribute to reducing Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR).

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
• Basic knowledge of Dynatrace and its core functionalities.
• Understanding of APM (Application Performance Monitoring) concepts.
• Familiarity with incident management tools like BigPanda and ServiceNow.
• Ability to analyze logs, create reports, and identify basic performance issues.

Good to Have Skills/Project Experience/Certifications:

• Exposure to synthetic monitoring and real-user monitoring (RUM).
• Basic scripting knowledge in Python, Bash, or PowerShell.
• Awareness of cloud platforms (AWS) and monitoring fundamentals.
• Knowledge in CICD pipelines, EKS, Docker and Service-mesh.

Education:

• BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university

Location:

• Bengaluru/Hyderabad

Shift Timings:

• 24*7 Rotational