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We're looking for an experienced Senior Software Engineer with experience in building AI based products to join our Insights Business Unit. You'll play a crucial role in building AI-powered features that turn our digital shelf and market share data into actionable insights, working alongside a talented and passionate team.
Responsibilities:
End-to-end feature development for AI-powered analytics on rich datasets, from architecture to production.
Mentor teammates and partner with Product, Data Science, and Design to deliver reliable conversational flows.
Design secure, low-latency data retrieval and AI integration pipelines (function calling, agentic workflows, etc) for internal datasets and APIs.
Build and scale integrations to data sources - defining schemas, queries, and caching strategies; continuously improve backend components to deliver a top‑notch user experience with efficient resource trade‑offs.
Establish quality guardrails, automated tests/evaluations, and observability; optimize for scalability, performance, and cost; run A/B tests.
Optimize context engineering and data retrieval strategies - balancing relevance, latency, and token efficiency to deliver accurate AI-powered insights.

We are looking for a Senior software engineer to join our SaaS platform team.
In this role, you will develop distributed cloud-native applications with a focus on scalability, availability, and security.
You will take part in designing and building microservices, operators, and backend components running on GCP Cloud Run, Kubernetes, and Linode Kubernetes Engine (LKE).
As a Senior Software Engineer, you will be responsible for:
Developing cloud-native microservices and backend components in Golang
Building and maintaining SaaS infrastructure and services for scale and resiliency
Working with GCP, Kubernetes, and Linode, including development of Kubernetes operators
Using Helm, Terraform, GitHub Actions, and other modern tooling to support deployment and automation
Collaborating with other engineers, architects, and product managers to drive features end-to-end
Taking ownership of system design decisions and contribute to the long-term technical roadmap

Required Developer Advocate
This role sits at the intersection of engineering, product, and the global developer community. Youll translate our technical work across all domains, repositories, security, release management, pipelines, distribution, metadata, AI/ML, and ecosystem integrations, into content, demos, talks, and conversations that developers trust. Youll also bring community insights back into our R&D and business teams to influence product direction.
As a Developer Advocate you will:
Represent us across developer, DevOps, security, and platform-engineering communities through conferences, meetups, webinars, podcasts, and online conversations
Create high-quality technical content: deep-dive articles, demos, hands-on guides, screencasts, code samples, and social content
Build compelling demos and storytelling around our core domains: Artifactory, Xray, Curation, Distribution, Pipelines, Workers, Fly, AI/MCP, and ecosystem integrations like GitHub
Collaborate closely with R&D, Product, Security, Solutions Engineering, Architecture, and Customer Success to deeply understand new capabilities and provide practical feedback
Engage with open source and developer communities, finding new channels and conversations where we should have a voice
Partner with Marketing to strengthen messaging while preserving technical credibility
Monitor and report impact across community engagement, content performance, OSS participation, and broader DevRel KPIs.

We help software vendors build, manage, and scale their partnerships with the worlds leading cloud providers - AWS, Microsoft Azure, and GCP. Our mission is simple: help our customers grow their top-line revenue by leveraging the massive sales networks, programs, and brand power of the hyper-scalers.

What Youll Do:
Design and build the full architecture of an Agentic Platform
Own end-to-end development - from infrastructure to user-facing features
Work across multi-cloud environments (AWS, GCP, Azure)
Deeply integrate AI tools and models (OpenAI and others) into the core product
Make independent architectural and product decisions with high autonomy