Observability Engineer - Lead Managed Services Engineer II

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, drive 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.

Level: Lead Managed Services Engineer II

The Enterprise Observability Platform Tech Architect is responsible for architecting end-to-end observability solutions across hybrid cloud environments, driving strategy and implementation for large-scale enterprise monitoring. This role will focus on leveraging technologies such as ELK (Elasticsearch, Logstash, Kibana), OpenSearch, AppDynamics, and integrating with modern DevOps practices using infrastructure-as-code (IAC) tools like Terraform on leading cloud platforms (AWS).

Work you'll do

As a Lead Managed Services Engineer II on the Hybrid Cloud Infrastructure team, you will be responsible for:

• Design, architect, and implement enterprise observability platforms using ELK, OpenSearch, and AppDynamics to deliver monitoring, logging, and tracing capabilities across hybrid cloud environments.
• Define and enforce observability standards, frameworks, and practices; integrate solutions with DevOps pipelines; and enable automation across development, quality assurance, and production environments.
• Lead migrations from legacy monitoring tools and automate infrastructure provisioning and configuration using Terraform across multi-cloud environments.
• Collaborate with Cloud, Security, and Application Development teams to deliver secure, scalable, cost-effective solutions and optimize storage, search, and visualization performance for log and metric data.
• Develop technical documentation, architectural diagrams, and solution blueprints; provide technical leadership and mentoring; evaluate emerging technologies; and participate in on-call or production-support activities as required.

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.

Location: Hyderabad / Bengaluru

Shift Timings: Rotational Shifts

Qualifications

Required:

• Experience architecting and implementing enterprise observability platforms using ELK Stack (Elasticsearch, Logstash, and Kibana) or OpenSearch.
• Experience configuring application performance monitoring, logs, metrics, and distributed tracing using tools such as AppDynamics, New Relic, Datadog, Dynatrace, Prometheus, Grafana, OpenTelemetry, or Jaeger, and troubleshooting distributed systems, application performance, and data-ingestion issues.
• Experience applying site reliability engineering (SRE), Information Technology Infrastructure Library (ITIL), and information technology service management practices, including service level indicators, service level objectives, service level agreements, error budgets, incident, problem, and change management, capacity planning, disaster recovery, resilience engineering, and ServiceNow.
• Experience using GitHub Actions, Docker, Kubernetes, Helm, and Terraform to automate infrastructure and platform deployments.
• Experience designing, deploying, or operating workloads on Amazon Web Services (AWS).
• Experience developing automation or scripts in Python, Shell, or Groovy.
• Experience implementing identity and access management (IAM), role-based access control (RBAC), Secure Sockets Layer/Transport Layer Security (SSL/TLS), and compliance monitoring for cloud platforms.

Preferred:

• AppDynamics Certified Implementation Professional certification.
• Elastic Certified Engineer, Elastic Observability Engineer, or OpenSearch Practitioner certification.
• Amazon Web Services (AWS) Solutions Architect certification.
• Certified Kubernetes Administrator (CKA) certification.
• DevOps or site reliability engineering certification.