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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand, mid-level generalist data role, metro location, and broad cloud/Go requirements.
Specialized multi-cloud streaming, Splunk, and Go-focused pipeline skills limit cross-industry transferability.
Explicit 5+ years plus mandatory Go, multi-cloud streaming, Splunk, and Terraform experience required.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and operation of a high-throughput AWS Lambda-based log processing pipeline handling ~500 TB/day from AWS, GCP, Azure into Splunk Cloud.
Develop event parsing, transformation, and tiered data routing logic for multiple cloud log formats to optimize licensing costs and support 59,000+ unique log types.
Build observability tooling, collaborate on architecture decisions, maintain infrastructure as code, and contribute to data standards and new log source onboarding.
Minimum Requirements
5+ years of professional software engineering experience.
Strong hands-on experience with AWS services including Lambda, Kinesis Data Streams, S3, IAM, CloudWatch, DynamoDB.
Proficiency in Go (primary) for production Lambda functions, plus Python (secondary) for automation and tooling.
Experience with multi-cloud platforms (AWS primary, working knowledge of GCP and Azure log services) and building high-throughput streaming data pipelines.
Ideal Candidate Profile
Experienced in designing and operating large-scale serverless event-driven data pipelines in multi-cloud environments.
Proficient in building production-grade, scalable software with strong operational monitoring, alerting, and error handling expertise.
Familiar with CI/CD pipelines, infrastructure as code (Terraform preferred), and collaborative code review and trunk-based development workflows.