The Splunk Development Engineer designs and supports Splunk solutions, develops use cases, optimizes implementations, and assists operations with data ingestion and performance issues.
We are seeking an experienced Splunk Development Engineer to design, enhance, and support scalable Splunk solutions. This role involves developing new use cases, optimizing existing implementations, supporting operations, and ensuring efficient data ingestion and system performance. You will work closely with stakeholders and engineering teams to strengthen observability and operational excellence.
Key Responsibilities- Identify and develop new Splunk use cases through log source research and collaboration with stakeholders
- Update and optimize existing Splunk use cases to improve search performance and adapt to changes in ingestion approaches
- Perform ingestion, parsing, and normalization of new data sources into Splunk using Splunk apps and configurations
- Develop custom Splunk apps, scripts, and automation to support data ingestion, transformation, validation, and system efficiency
- Provide technical support to Splunk Operations Engineers, including troubleshooting, root cause analysis, and issue resolution
- Create and maintain comprehensive technical documentation to support knowledge transfer, training, and operational continuity
- Maintain regular office attendance during designated working hours and provide incident response support outside working hours when required
RequirementsMust Have
- 3–5 years of hands-on experience working with Splunk
- Strong understanding of Splunk architecture, features, and capabilities
- Advanced proficiency in Splunk Search Processing Language (SPL)
- Experience with data ingestion, normalization, and performance optimization in Splunk
- Good understanding of SDLC and CI/CD practices
- Proficiency in Python scripting
- Experience with Git (GitLab) and modern branching workflows
- Solid understanding of IT infrastructure, including Operating Systems, Databases, and Network/Security devices
- Minimum Bachelor’s Degree in Computer Science, Information Technology, or a related field
- Strong analytical thinking and problem-solving skills
- Good communication skills and ability to work with cross-functional stakeholders
- Only Singaporean / SPR may apply.
- Splunk certifications (e.g., Splunk Core Certified Power User, Splunk Enterprise Certified Admin, etc.)
- Experience with public cloud platforms such as AWS and/or Azure
- Experience implementing serverless compute solutions (AWS Lambda or Azure Functions)
- Experience working on GCC (Government Commercial Cloud) environments
- Experience developing custom Splunk applications
Xtremax Singapore, Singapore, SGP Office
Singapore, Singapore
Similar Jobs
Financial Services
Supports senior currencies and emerging markets traders with client requests, market monitoring, risk and liquidity management, pre-trade analysis, trade processing, execution workflows, P&L reconciliation, post-trade controls, and regulatory compliance. The role develops expertise in market drivers, product pricing, risk management, and trading strategies while providing timely product insights to institutional clients.
Financial Services
Leads global vulnerability management operations, including vulnerability review, risk rating, impact analysis, threat assessment, remediation recommendations, incident coordination, and stakeholder communication. Drives workflow prioritization, major incident leadership, AI-assisted security investigations, and validated automation across cybersecurity and technology teams. Partners with application teams, technology leaders, vendors, and risk functions to reduce enterprise vulnerability exposure and strengthen resilience.
Top Skills:
APIsCitrixCpeCveCvssEnterprise Ai ToolsF5Frontier Ai ModelsJIRAJSONMicrosoftOracle JavaPrivate CloudPublic CloudSplunkSQLVMwareVulnerability Scanning Tools
Financial Services
Develop and optimize C++17/20 low-latency trading systems for options market making and volatility execution. Build high-throughput market data and order flow platforms, implement exchange connectivity, troubleshoot production systems, and produce architecture artifacts. The role requires performance optimization, socket programming, real-time messaging, secure coding, testing, operational stability, and responsible use of AI-assisted development tools. Knowledge of derivatives pricing, market data handlers, order management systems, and mentoring is preferred.
Top Skills:
Ai-Assisted Software Development ToolsBinary ProtocolsC++17/20Ci/CdFixLinuxNative Exchange ProtocolsTcp/IpUdp
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
