The Role: You're the engineer who builds the platform so it doesn't break overnight, because if it does, it's yours to fix. As our Data Platform Engineer, you'll own the infrastructure underneath Seer's analytics and AI products: the cloud resources, the infrastructure as code, the CI/CD pipelines, and the alerting that tells us something is wrong before a strategist notices. Our data platform is early in its life, and you'll help take it from a set of connected tools to an automated, well-governed system that every team at Seer can rely on. You'd rather write the Terraform module yourself than file a ticket for someone else to, and you measure your work by whether it keeps working.
Role Highlights
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.
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
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
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
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
- 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
Infrastructure as Code
Cloud Platform
CI/CD and Code Quality
Reliability and Observability
AI-Powered Engineering
Collaboration
Essential Skills
- 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
- 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
This might not be the right role for you if...
- 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
30/60/90 Day Plan
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
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
- 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
First 30 Days: Learn
60 Days: Build
90 Days: Lead
Skills Required
- Hands-on experience writing and modularizing infrastructure as code with Terraform or OpenTofu
- Deep familiarity with GitHub, including pull requests, code review, and GitHub Actions workflows
- Experience building and running production infrastructure on GCP or AWS
- Strong programming skills in an object-oriented language such as Python or TypeScript
- Experience designing alerting and monitoring structures
- Strong working knowledge of SQL and relational databases
- Ability to own infrastructure and operate systems directly
- Ability to define process standards, establish KPIs, and monitor accountability
- Interest in building early-stage platforms and overhauling legacy systems
- Experience with object-relational mapping tools
- Experience building AI agents, skills, or workflows for coding and code review
- Experience in an agency, startup, marketing technology, or SaaS company
- Experience participating in an on-call rotation for production systems
- Candidate must be based in the United States and able to work continental US-based hours
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