Senior Software Engineer – Splunk and APM Administration and Development

Senior Software Engineer I – Splunk and Application Performance Monitoring (APM) Administration and Development

Work Location:

Onsite, Framingham, MA

At Staples, our technology team is dedicated to delivering innovative solutions that drive business-to-business excellence. We foster a collaborative environment where technical expertise and operational efficiency enable our enterprise to grow and thrive.

The Senior Software Engineer I – Splunk and Application Performance Monitoring Administration and Development is responsible for designing, configuring, and administering the Splunk observability platform. This role will manage large-scale ingestion and routing of log and event data across enterprise systems, ensuring reliable and scalable telemetry integration with our tools and platforms.

• Design, configure, and administer the Splunk observability platform for enterprise-scale log and event data management.
• Optimize platform performance, scalability, and cost by managing data pipelines, implementing automation, and enforcing governance standards.
• Integrate observability capabilities with cloud platforms (AWS, Azure, Kubernetes), CI/CD pipelines, and enterprise tools to provide consistent, scalable telemetry across Staples systems.
• Oversee log pipeline design and optimization, including data retention, lifecycle management, and performance tuning.
• Install, upgrade, and manage Splunk apps and components while configuring user roles and access controls.
• Support integration with deployment tools (Puppet, Ansible), ITSM systems (Service Now, Pager Duty), and APIs for seamless operational workflows.
• Utilize scripting and automation (Python, Bash) to enhance platform configuration and operational efficiency.
• Contribute to projects using SAFe methodology and collaborate via platforms such as Jira, Confluence, and Service Now.

• Expertise in log pipeline design and optimization, data retention and lifecycle management, performance tuning, and cost optimization.
• Strong proficiency in integrating Splunk with cloud platforms, CI/CD pipelines, and enterprise automation tools.
• Proficiency in scripting and automation for platform configuration and operational efficiency.

• Bachelor’s degree in Computer Science, Engineering, or a directly related field.
• 7-10 years of deep hands-on experience with Splunk, including:
  
  Platform configuration and administration.
  
  Data ingestion and pipeline management (forwarders, inputs, routing, indexing). User, role, and access control configuration
  
  Installation, upgrade, and management of Splunk apps and components
• Strong experience managing observability data at scale, including:
• Log pipeline design and optimization
• Data retention and lifecycle management
• Performance tuning and cost optimization
• Experience integrating Splunk with:
• Cloud platforms (AWS, Azure, Kubernetes)
• CI/CD pipelines and deployment tools like Puppet, Ansible
• Enterprise systems (ITSM, automation, APIs) like Service Now, Pager Duty
• Proficiency in scripting and automation (e.g., Python, Bash) to support platform configuration and operational efficiency
• Experience working with SAFe methodology and platforms like Jira, Confluence, Service Now

• Experience supporting or administering application performance monitoring (APM) and Session Replay platforms such as New Relic, Dynatrace, Data Dog, Open Telemetry, Full Story.
• Familiarity with generative AI and Agentic AI frameworks and platforms.
• Understanding of distributed tracing, APM instrumentation, and integration of metrics and events into observability platforms.
• Experience in multi-platform observability environments, session replay, and site analytics.