Back End Developer

Underdog: Verified engineers. Interview-ready. Searching confidentially. And companies apply to you

United States

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Underdog is seeking a backend engineer to architect systems enabling AI agents to securely navigate authenticated environments, transforming unstructured data into actionable intelligence at scale.

You will build infrastructure that makes enterprise data AI-accessible, collaborate with senior engineers and product teams, and work with GCP, Docker, and CI/CD to ship resilient, observable platforms powering automated data access across complex environments.

Qualifications

  • 3+ years backend engineering experience shipping production systems.
  • Experience with REST APIs, cloud platforms (GCP/AWS/Azure), and databases.
  • Familiarity with containerization (Docker) and CI/CD pipelines.

Responsibilities

  • Build resilient AI agents and automate complex logins including MFA.
  • Engineer secure authentication foundations and scalable APIs.
  • Design data infrastructure with GCP-based pipelines and performant PostgreSQL storage.
  • Ship end-to-end systems, integrations, tests, and observability tooling.
  • Collaborate with senior engineers and product teams on architecture.
  • Work with GCP, Docker, and GitHub Actions (CI/CD).

Skills

Backend engineering
Autonomy

Tools

Docker
GitHub Actions
Prometheus
Grafana
PostgreSQL

Job description

Our hiring partner is pioneering a platform backed by $14M from top-tier investors, enabling enterprises to deploy authenticated AI agents for mission-critical workflows.

Their technology solves a fundamental challenge: securely accessing and transforming data trapped behind complex authentication barriers. We’ve automated weeks-long manual processes into minutes for industry leaders. Join our growing team to build the infrastructure that makes every business system AI-accessible.

Your Mission

Architect core systems that allow AI agents to securely navigate authenticated environments—from dynamic web interfaces to legacy systems—transforming unstructured data into actionable intelligence at scale.

Key Responsibilities
  • Build Resilient AI Agents: Develop systems that automate complex logins (including MFA), extract unstructured data, and handle dynamic web interfaces without APIs.
  • Engineer Secure Foundations: Create authentication workflows for diverse platforms and scalable APIs for enterprise-grade solutions.
  • Design Data Infrastructure: Implement GCP-based data pipelines, optimize PostgreSQL performance, and ensure integrity for millions of records.
  • Ship End-to-End Systems: Develop third-party integrations, testing suites, and observability tools with a focus on reliability.
  • Collaborate Strategically: Work with senior engineers on system architecture and product teams to solve real customer challenges.
  • Infra: GCP, Docker, GitHub Actions (CI/CD)
Who You Are
  • 3+ years backend engineering experience shipping production systems.
Technical Mastery:
  • Experience with REST APIs, cloud platforms (GCP/AWS/Azure), and databases
  • Familiarity with containerization (Docker) and CI/CD pipelines
Cultural Fit:
  • Autonomy: Own outcomes end-to-end in ambiguous environments
  • Craftsmanship: Balance best practices with pragmatic delivery
  • Curiosity: Continuously explore authentication, security, and AI/automation
  • Communication: Document decisions and align cross-functional teams
Nice-to-Haves
  • Knowledge of OAuth, SAML, or security protocols
  • Startup experience or open-source contributions
  • Monitoring tools (Prometheus, Grafana, etc.)
Why Join
  • Impact Critical Infrastructure: Your code enables AI to access 90% of enterprise data currently locked behind logins.
  • Founder-Level Equity: Significant ownership in a well-funded startup.
  • Strong Team: Learn from former founders and early engineers who scaled 0→1 products.
For Builders of the AI-Authenticated Future

If you’re driven to solve foundational challenges at the intersection of security, AI, and enterprise systems— Let’s make every business system AI-accessible.

Must be authorized to work in the U.S. No visa sponsorship.

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