Data Engineer

Seer Interactive

Sheffield

On-site

GBP 70,000 - 95,000

Full time

5 days ago
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Job summary

Seer Interactive seeks an experienced Infrastructure Engineer to own and modularize the platform infra using Terraform or OpenTofu, and to manage access across the system. You will build cloud services on GCP or AWS, automate onboarding, and maintain CI/CD pipelines with GitHub Actions.

You’ll lead observability and incident response while integrating AI coding agents to improve reliability. You will collaborate with data engineering leaders to shape platform roadmaps, and work from product

Qualifications

  • Hands-on experience writing and modularizing infrastructure as code with Terraform or OpenTofu.
  • Deep familiarity with GitHub, including pull requests, code review, and building workflows with GitHub Actions.
  • Production infrastructure experience on GCP or AWS.
  • Strong programming skills in Python or TypeScript.
  • Experience designing alerting and monitoring, owning a system when it fails.
  • Working knowledge of SQL and relational databases.
  • Comfort owning infrastructure end-to-end rather than relying on a separate team.
  • Ability to set KPIs and hold yourself accountable.
  • Energetic about building an early-stage platform and refactoring legacy systems.

Responsibilities

  • Own and modularize the infrastructure behind Seer's data platform in Terraform or OpenTofu.
  • Manage permissions and access across the platform for team members and agents.
  • Build and maintain cloud services on GCP or AWS, choosing cost and reliability tradeoffs.
  • Automate client onboarding and data source integration into the platform.
  • Design and maintain GitHub Action pipelines with automated tests and multi-stage deploys.
  • Take part in PRs and code reviews to raise the quality of changes.
  • Define KPIs, build observability, alerting, and logging for platform health.
  • Integrate AI agents into daily workflows with clear ownership of code quality, security, and reliability.

Skills

Terraform
GitHub Actions
Python
TypeScript
SQL
GCP
AWS
On-call ownership
OpenTofu

Tools

GitHub
GCP
AWS
OpenTofu

Job description

Role Highlights

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

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

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

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

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

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