Infrastructure as Code
Own and modularize the infrastructure behind Seer's data platform in Terraform or OpenTofu, mapping what exists today and designing what it needs to become
Manage permissions and access across the platform, including how team members and agents securely reach data through tools like the Seer’s agentic tooling.
Cloud Platform
Build and maintain cloud services behind our data products, including BigQuery, Cloud Run, Cloud Functions, Cloud Storage, making the cost and reliability tradeoffs that let us scale without supprises
Automate the processes that bring new clients, data sources, and reports into the platform so they flow through without manual intervention
CI/CD and Code Quality
Design and maintain GitHub Action pipelines with automated tests, multi-stage deploys, and review gates
Take part in pull requests and code review across the engineering team, raising the quality bar for all changes
Reliability and Observability
Build the alerting, monitoring, and logging systems that provide insight to the platform’s health, and own what happens when something breaks
Define KPIs for the processes you build and set the thresholds that tell us when it's time to review,audit or retire tooling
AI-Powered Engineering
Integrate Claude Code, Codex, and other coding agents into your daily engineering workflows to design, implement, test, and maintain production systems, with clear ownership of code quality, security, and reliability
Collaboration
Partner with the Data Engineering Leads and the Director of Engineering to turn platform needs into a roadmap you help shape
Work from requirements gathered by our product and project managers, so your focus stays on building, not on client meetings
You have hands-on experience writing and modularizing infrastructure as code with Terraform or OpenTofu
You have deep familiarity with GitHub, including pull requests, code review, and building workflows with GitHub Actions
You have built and run production infrastructure on **GCP **or AWS
You have strong programming skills in an object-oriented language such as Python, or TypeScript
You have experience designing alerting and monitoring structures, and you understand what it means to own a system when it fails
You have a strong working knowledge of **SQL **and relational databases
You are comfortable in the weeds and prefer owning infrastructure yourself over relying on a separate team to handle it
You are someone who defines what "good" looks like for a process, sets KPIs against it, and holds yourself accountable to them
You feel energized by building something early-stage and helping decide what it becomes as well as overhauling legacy systems to improve stability and functionality
Bonus!
You have experience with object-relational mapping (ORM) tools
You have built your own AI agents, skills, or workflows to write and review code faster
You have worked in an agency, a startup, in a marketing technology or SaaS company
You have been part of an on-call rotation for production systems
You're used to a separate DevOps or platform team handling infrastructure for you
You'd rather hand a system off once it ships than own its lifecycle
You prefer a mature platform with defined processes over helping to design and build one
You see AI as hype rather than a practical tool
First 30 Days: Learn
Complete division training and get oriented in our GCP environment, Terraform codebase, and GitHub workflows
Map the current state of platform infrastructure and flag the first gaps you'd close
Ship your first reviewed pull request through our CI/CD pipeline
60 Days: Build
Own the design and delivery of an infrastructure improvement end to end, such as a module refactor or a new platform component
Add or improve alerting for a critical pipeline, with defined KPIs for what healthy looks like
90 Days: Lead
Operate independently on platform requests, bringing solutions, not just questions
Deliver a visible, scalable improvement to the platform, such as automated client onboarding or bringing a manual area under infrastructure as code