Observability Engineer - Managed Services Engineer II

Role overview

Observability Engineer - Managed Services Engineer II at Deloitte

In this role, you will work across the full delivery lifecycle, from requirements gathering and solution design through deployment, monitoring, and ongoing optimization.

Responsibilities

• You will collaborate with cross-functional teams to translate business needs into scalable technical solutions and support high-quality delivery in production environments.
• Configure dashboards, alerts, monitors, log pipelines, parsing rules, and search capabilities.
• Support observability deployments across AWS environments.
• Configure and troubleshoot Docker, Kubernetes, and Helm-based workloads.
• Monitor platform health, availability, performance, capacity, and data retention.
• Support migrations from legacy monitoring tools to ELK, OpenSearch, or AppDynamics.
• Collaborate with application, cloud, security, and DevOps teams to improve service reliability.
• Contribute to observability standards, reusable automation, and platform best practices.

Employment details

• 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.
• Work you'll do As a Managed Services Engineer II on the Hybrid Cloud Infrastructure team, you will be responsible for designing, building, deploying, and optimizing AI-powered agents and enterprise AI solutions that automate complex workflows and transform IT and business processes.
• Additionally, we provide comprehensive management of all facets of operations for hybrid cloud infrastructure and field operations.
• Location: Bengaluru/Hyderabad Shift Timings: 24/7 Rotational Qualifications Required: 3–5 years hands-on experience on the below Strong expertise in AppDynamics (APM), ELK Stack (Elasticsearch, Logstash, Kibana), and OpenSearch.
• Observability: New Relic, Datadog, Dynatrace, Prometheus, Grafana, OpenTelemetry, Jaeger, Distributed Tracing, Logs, Metrics, APM.
• SRE: SLI, SLO, SLA, Error Budgets, Incident Management, Problem Management, Capacity Planning, Reliability Engineering, Automation, DR, Resilience Engineering Deep understanding of DevOps tools – GitHub Actions, Docker, Kubernetes, Helm.
• Experience in Infrastructure automation (Terraform).
• Knowledge of cloud platforms – AWS.
• Programming/scripting in Python, Shell, or Groovy.
• Strong understanding of IAM, RBAC, SSL/TLS, and compliance monitoring.
• Willingness to participate in on-call or production-support activities, where required.
• ITSM: ServiceNow, ITIL, Incident, Problem, Change and Service Management Excellent leadership, communication, and problem-solving skills.
• BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university.
• Preferred: AppDynamics Certified Implementation Professional Elastic Certified Engineer / Observability Engineer or OpenSearch Practitioner AWS Solutions Architect Certified Kubernetes Administrator (CKA) DevOps or SRE Certification #HCIFY27
• Location: Hyderabad [Telangana] [India]

Application details

• This role works with architects, application teams, cloud engineers, and security stakeholders to deliver reliable monitoring, logging, tracing, and alerting using AppDynamics, ELK, OpenSearch, and DevOps automation tools.
• Apply IAM, RBAC, SSL/TLS, access control, and compliance-monitoring practices.

About the employer

• 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.

Additional role details

• 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.
• As a Managed Services Engineer II, you will design, build, deploy, and optimize enterprise-scale AI solutions that help clients automate workflows and improve business and information technology operations.
• You will also contribute to implementation planning, issue resolution, and continuous improvement initiatives.
• The Observability Platform Engineer is responsible for implementing, configuring, automating, and supporting enterprise observability solutions across hybrid cloud environments.
• Implement and maintain observability solutions using AppDynamics, Elasticsearch, Logstash, Kibana, and OpenSearch.
• Onboard applications, infrastructure, databases, and cloud services into observability platforms.
• Develop and maintain Infrastructure as Code using Terraform Integrate monitoring and logging activities into GitHub pipelines.
• Investigate and resolve monitoring, logging, alerting, and integration issues.
• Create operational documentation, runbooks, dashboards, and knowledge articles.
• Participate in incident, problem, and change-management activities.
• 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.