1. PF & Gratuity included
2. Medical Benefits included
About Our Client
The company is a large organization in the FMCG industry, recognized for its innovative solutions and strong market presence. They are committed to leveraging advanced technology to drive operational excellence and deliver high-quality products.
Job Description
MAIN SKILLS
3. Splunk Architecture & Design: Lead the design, implementation, and ongoing optimization of the Splunk monitoring platform architecture to ensure scalability, performance, security, and high availability.
4. Data Ingestion & Integration: Define and implement strategies for effective data ingestion from various sources (logs, metrics, events) into Splunk, ensuring data quality, completeness, and optimal indexing.
5. Monitoring Solution Development: Provide technical leadership and expertise in the development of sophisticated monitoring solutions, dashboards, alerts, and reports within Splunk, ensuring alignment with monitoring requirements and best practices.
6. Performance Tuning & Optimization: Continuously analyze and tune Splunk performance, including search head, indexer, and forwarder configurations, to maximize efficiency and minimize operational costs.
7. Best Practices & Standards: Establish and enforce technical standards, best practices, and guidelines for Splunk usage, content development, and platform administration, ensuring consistency and maintainability.
8. Technical Guidance & Mentorship: Act as a subject matter expert for Splunk, providing technical guidance, support, and mentorship to engineering teams and Splunk users across the organization.
9. Troubleshooting & Problem Resolution: Lead the diagnosis and resolution of complex technical issues related to the Splunk platform and its integrated monitoring solutions.
10. Innovation & Roadmap Contribution: Contribute to the Monitoring roadmap defined by the Tooling Lead by evaluating new Splunk features, apps, and related monitoring technologies, and proposing innovative solutions.
11. Documentation: Create and maintain comprehensive technical documentation for Splunk architecture, configurations, and best practices.
KEY PERFORMANCE INDICATORS (KPIs):
12. Splunk Platform Performance: (, Average Search Latency, Data Ingestion Rate, Indexing Performance).
13. Architecture Scalability & Efficiency: (, Resource Utilization of Splunk components, Cost-efficiency of design).
14. Data Quality & Completeness: (, Percentage of ingested data without errors, Coverage of critical log sources).
15. Monitoring Solution Effectiveness: (, Number of critical alerts developed, Reduction in Mean Time To Detect (MTTD) for key incidents).
16. Compliance with Best Practices: (, Adherence to established Splunk architectural and configuration standards).
TECHNICAL SKILLS
17. Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
18. 5+ years of extensive experience as a Splunk Architect or Senior Splunk Engineer, with a proven track record of designing, implementing, and optimizing large-scale Splunk deployments.
19. Deep expertise in Splunk Enterprise, Splunk Enterprise Security (ES) and/or Splunk IT Service Intelligence (ITSI) preferred.
20. Strong understanding of data sources, log management, SIEM concepts, and operational monitoring principles.
21. Proficiency in Splunk Search Processing Language (SPL) and dashboard creation.
22. Experience with cloud platforms (, Azure, AWS, GCP) and integrating Splunk in hybrid cloud environments.
23. Knowledge of scripting languages (, Python) for Splunk automation and API integration.
24. Familiarity with IT Service Management (ITSM) frameworks (ITIL v4 certification is a plus).
PROFESSIONAL COMPETENCIES & SOFT SKILLS:
25. Excellent analytical and problem-solving skills with a strong attention to detail.
26. Ability to translate business and operational monitoring requirements into technical Splunk solutions.
27. Strong communication and presentation skills, capable of explaining complex technical concepts to diverse audiences.
28. Proactive, self-motivated, and able to work independently as well as part of a team.
29. Ability to manage multiple technical priorities effectively.
The Successful Applicant
MAIN SKILLS
30. Splunk Architecture & Design: Lead the design, implementation, and ongoing optimization of the Splunk monitoring platform architecture to ensure scalability, performance, security, and high availability.
31. Data Ingestion & Integration: Define and implement strategies for effective data ingestion from various sources (logs, metrics, events) into Splunk, ensuring data quality, completeness, and optimal indexing.
32. Monitoring Solution Development: Provide technical leadership and expertise in the development of sophisticated monitoring solutions, dashboards, alerts, and reports within Splunk, ensuring alignment with monitoring requirements and best practices.
33. Performance Tuning & Optimization: Continuously analyze and tune Splunk performance, including search head, indexer, and forwarder configurations, to maximize efficiency and minimize operational costs.
34. Best Practices & Standards: Establish and enforce technical standards, best practices, and guidelines for Splunk usage, content development, and platform administration, ensuring consistency and maintainability.
35. Technical Guidance & Mentorship: Act as a subject matter expert for Splunk, providing technical guidance, support, and mentorship to engineering teams and Splunk users across the organization.
36. Troubleshooting & Problem Resolution: Lead the diagnosis and resolution of complex technical issues related to the Splunk platform and its integrated monitoring solutions.
37. Innovation & Roadmap Contribution: Contribute to the Monitoring roadmap defined by the Tooling Lead by evaluating new Splunk features, apps, and related monitoring technologies, and proposing innovative solutions.
38. Documentation: Create and maintain comprehensive technical documentation for Splunk architecture, configurations, and best practices.
KEY PERFORMANCE INDICATORS (KPIs):
39. Splunk Platform Performance: (, Average Search Latency, Data Ingestion Rate, Indexing Performance).
40. Architecture Scalability & Efficiency: (, Resource Utilization of Splunk components, Cost-efficiency of design).
41. Data Quality & Completeness: (, Percentage of ingested data without errors, Coverage of critical log sources).
42. Monitoring Solution Effectiveness: (, Number of critical alerts developed, Reduction in Mean Time To Detect (MTTD) for key incidents).
43. Compliance with Best Practices: (, Adherence to established Splunk architectural and configuration standards).
TECHNICAL SKILLS
44. Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
45. 5+ years of extensive experience as a Splunk Architect or Senior Splunk Engineer, with a proven track record of designing, implementing, and optimizing large-scale Splunk deployments.
46. Deep expertise in Splunk Enterprise, Splunk Enterprise Security (ES) and/or Splunk IT Service Intelligence (ITSI) preferred.
47. Strong understanding of data sources, log management, SIEM concepts, and operational monitoring principles.
48. Proficiency in Splunk Search Processing Language (SPL) and dashboard creation.
49. Experience with cloud platforms (, Azure, AWS, GCP) and integrating Splunk in hybrid cloud environments.
50. Knowledge of scripting languages (, Python) for Splunk automation and API integration.
51. Familiarity with IT Service Management (ITSM) frameworks (ITIL v4 certification is a plus).
PROFESSIONAL COMPETENCIES & SOFT SKILLS:
52. Excellent analytical and problem-solving skills with a strong attention to detail.
53. Ability to translate business and operational monitoring requirements into technical Splunk solutions.
54. Strong communication and presentation skills, capable of explaining complex technical concepts to diverse audiences.
55. Proactive, self-motivated, and able to work independently as well as part of a team.
56. Ability to manage multiple technical priorities effectively.