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Senior Software Engineer - Reporting & Insights

Fort Worth, Texas

About Koddi

We are a global technology company with software and services that help top digital marketplaces effectively monetize their first-party audiences through industry-leading commerce media technology and strategy. Our enterprise platforms leverage first-party data to drive marketplace revenue and profit by improving user experience and target shoppers throughout the purchase path. Koddi’s platforms enable any advertiser, any marketplace, in any industry to increase awareness, generate demand, and drive revenue. We are committed to driving innovation and growth in the commerce media space.
 
As part of that commitment, we’ve launched Koddi Academy, a learning platform designed to provide expert knowledge, competitive insights, and practical strategies for thriving in this fast-growing industry. Explore our latest certification course, to deepen your expertise and stay ahead in the evolving world of commerce media.

You can also sign up for our waiting list to be notified when new courses are released. Get started today at Koddi Academy.

Job Summary

We're looking for a Senior Software Engineer to join Koddi's Reporting & Insights team. This team owns the data, services, and infrastructure that power analytics across Koddi's platform—reporting here is a core product capability, not a downstream afterthought.

You'll help evolve our reporting platform toward greater scale, correctness, and self-service while delivering meaningful, customer-facing features. This role is well-suited for engineers who enjoy operating production systems at scale, exercising sound engineering judgment, and contributing to the direction of a professionally run data platform.

What You'll Do

Building & Operating

  • Design, build, and maintain backend services and APIs that support high-volume analytics workloads across our Go-based service layer
  • Own schema design and query performance for our SingleStore analytical database, with data pipelines running through Databricks
  • Define and manage service health through SLOs, dashboards, and alerting in Datadog—we take observability seriously

Evolving the Platform

  • Help steer the evolution of our reporting platform: reducing manual workflows, improving operability, and enabling self-service capabilities
  • Balance delivery of high-impact features with long-term system health—making deliberate tradeoffs, not reactive ones

Craft & Collaboration

  • Partner with product and cross-functional teams to shape reporting requirements and drive delivery decisions
  • Mentor engineers through design reviews, operational guidance, and incident leadership

Who You Are

  • Strong backend experience in Go (preferred) or similar languages, with expertise building APIs (REST/gRPC)
  • Advanced SQL skills with a focus on analytical query patterns and performance optimization
  • Experience designing and operating event-driven systems, streaming pipelines, or ETL workflows
  • Comfort with cloud-native, containerized systems and infrastructure-as-code
  • Strong observability instincts—you've built dashboards, defined SLOs, and debugged production issues with traces and logs
  • Real experience operating systems at scale: on-call rotations, incident response, and the rigor required to run reliable services
  • Experience with large-scale reporting or analytics platforms in production preferred
  • Track record of improving system reliability, performance, and de-buggability through pragmatic engineering decisions preferred
  • Familiarity with safely evolving data models in customer-facing systems preferred

Your First 6 Months

  • You'll start by getting hands-on with our reporting services and data layer, pairing with the team on active work. Within the first few months, you'll own the delivery of a meaningful feature or improvement end-to-end. By month six, you'll be contributing to architectural decisions, participating in on-call, and helping shape where the platform goes next.

Technical Environment

  • Golang
  • SingleStore
  • Databricks
  • Kubernetes
  • AWS & Azure
  • Datadog
  • Terraform

 

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