Vijayawada, Andhra Pradesh
Job Summary
The Senior Field Engineer is responsible for designing, implementing, and optimizing Event Management and AIOps platforms across cloud, on-premises, and hybrid environments. This is a customer-facing role that focuses on translating business requirements into scalable technical solutions, improving event quality, and ensuring reliable platform performance.The role involves working closely with customers to understand their operational needs, designing robust architectures, integrating multiple systems, and optimizing event processing workflows such as correlation and noise reduction. The engineer is also expected to drive best practices, conduct technical workshops, and provide guidance to ensure successful platform adoption and long-term value.
Key Responsibilities
Act as a customer-facing Field Engineer to ensure successful adoption of Event Management and AIOps platforms
Understand customer requirements and translate them into effective technical solutions
Design, deploy, and optimize scalable architectures across cloud, on-prem, and hybrid environments
Perform system sizing, capacity planning, and performance tuning to ensure reliable operations
Implement and optimize event processing workflows including ingestion, enrichment, deduplication, correlation, and noise reduction
Ensure high event quality by applying proper event attributes such as severity, source, and deduplication keys
Integrate multiple systems using APIs and standard integration patterns
Support deployment of distributed and highly available architectures
Troubleshoot platform, performance, and data-related issues across application and database layers
Conduct customer workshops, technical discussions, and design walkthroughs
Provide knowledge transfer, documentation, and best-practice guidance to customers
Collaborate with cross-functional teams to resolve complex technical challenges and improve overall solution quality
Skill Requirements
Strong experience with Event Management, AIOps, or Observability platforms such as Datadog, Dynatrace, Splunk ITSI, ServiceNow ITOM, or similar tools
Hands-on expertise in event processing workflows, including ingestion, enrichment, deduplication, correlation, fail/clear handling, and alert noise reduction
Solid understanding of architecture design, including scalable, distributed, cloud, on-prem, and hybrid environments
Strong Linux administration and troubleshooting skills
Proficiency in integration development using REST APIs and data transformation workflows
Good knowledge of database concepts (RDBMS) and experience in backend/data-level troubleshooting
Programming or scripting skills in Python, Shell, Java, or JavaScript
Strong understanding of event quality management and alert lifecycle handling
Experience in system integration and building end-to-end event pipelines
Ability to troubleshoot complex issues across application, platform, and database layers
Strong customer-facing and communication skills, with the ability to explain technical concepts clearly
Other Requirements
Knowledge of cloud-native architecture, serverless concepts, and CI/CD pipelines
Experience with messaging or streaming technologies such as Kafka or RabbitMQ
Familiarity with containers and Kubernetes
Understanding of ITSM / ITIL processes and integration with ticketing systems
Experience with SNMP integrations and MIB handling (for on-prem environments)
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