---
title: 'Senior Software Engineer, Fullstack at CoderPad'
canonical: 'https://feeny.ai/job/senior-software-engineer-fullstack-coderpad-mexico-mdkmh5exs3x6'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Software Engineer, Fullstack at CoderPad

- **Company:** CoderPad
- **Location:** Mexico
- **Employment:** contract
- **Work type:** remote
- **Posted:** 2026-08-18
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/coderpad/7367bdea-c6a9-4bb8-991b-63fbb05a02bc

## Job description

## Role Summary

We are hiring a Senior Software Engineer to help build the future of technical interviewing and assessment across CoderPad.

This is a fullstack role for someone who can move across backend services, frontend product surfaces, and AI-powered system design. You will work on user-facing features, production infrastructure, and internal engineering workflows where coding agents and AI-assisted development are part of normal day-to-day execution.

This role is remote from Latin America.

## What You Will Work On

- Build and ship fullstack product features across candidate and recruiter experiences, from API and data model design to frontend implementation.
- Improve real-time AI-powered experiences used in interviews and assessments, including model orchestration, streaming UX, tool/function-calling patterns, and reliability.
- Contribute to systems that integrate multiple LLM providers and require pragmatic handling of latency, cost, observability, and non-deterministic behavior.
- Develop and improve deterministic internal tooling that helps engineers and agents execute work safely, repeatably, and with strong audibility.
- Partner across product, design, and platform teams to take ambiguous problems from definition to production rollout.
- Lead and mentor through code review, using reviews as both a quality gate and a coaching channel for less-experienced engineers.
- Plan and deliver technical debt, architecture, and observability initiatives that improve long-term system maintainability.
- Participate in on-call operations and drive runbook, reliability, and incident follow-up improvements.

## Requirements

- Senior-level experience shipping production software end-to-end in a fullstack capacity.
- Strong backend engineering skills in at least one modern language and ecosystem, plus practical frontend experience with a component-based framework.
- Proven ability to pick up unfamiliar stacks quickly and deliver in mixed-technology environments.
- Hands-on experience with agentic development workflows (for example: Cursor, Claude Code, Codex, or equivalent), including good judgment on delegation, context scoping, and review of AI-generated code.
- Experience building production systems that use AI, such as LLM API integrations, prompt and context design, streaming responses, tool/function calling, and token or cost-aware engineering.
- Significant contribution to code review, with evidence of raising code quality and mentoring peers through the review process.
- Experience identifying and reducing technical debt, and contributing to architecture planning and documentation.
- Proven ownership of production system health through monitoring/alerting improvements, incident response, and operational follow-through.
- Experience partnering with product and technical leads on backlog preparation, scoping, sizing, and delivery planning.
- Strong engineering fundamentals in testing, observability, debugging, and safe incremental delivery.
- Clear written communication and collaborative ownership mindset in remote teams.

Desired Stack

You are not expected to know all of these technologies. Relevant equivalent experience is absolutely welcome.

- Backend surfaces include Ruby on Rails, Java services, and Node/TypeScript services.
- Frontend surfaces include React + TypeScript applications and shared web platform tooling.
- AI systems include integrations across Anthropic, OpenAI, Gemini, Llama, and Mistral families, with streaming and tool-calling capabilities.
- Platform and infrastructure include PostgreSQL, GraphQL, Redis/Sidekiq, Firebase Realtime Database, Datadog, LaunchDarkly, GitLab CI, cloud services (AWS and GCP), and containerized execution environments.
- Internal engineering workflows include Python-based deterministic CLI tooling and AI-agent skills that support repeatable development operations.

## How We Work

- Remote-first collaboration across time zones with a strong written culture.
- AI tooling is an expectation and treated as part of the engineering toolbox.
- Small, reviewable changes with high-quality code review and shared ownership of outcomes.
- Pragmatic architecture decisions focused on reliability, maintainability, and user impact.
- Documentation and operational clarity are part of shipping, not afterthoughts.
- Senior ICs influence technical roadmap direction beyond their immediate delivery scope.
- Operational ownership matters: we value engineers who improve on-call practices and close the loop after incidents.

Logistics

- Required overlap window with core team: Pacific 7:00 - 16:00, on-call 24 hrs for a week once every 8 weeks or so.

## About CoderPad

## Company Overview
- **One-liner**: CoderPad provides a collaborative, real-world coding assessment platform that helps companies evaluate engineering skills through hands-on projects and live interviews.  
- **Entity Type**: Private (Privately Held)  
- **Headquarters**: San Francisco, California, United States  
- **Founded**: 2013  
- **Founders**: Not publicly available  

## Core Business
- **Primary industry**: Technical Hiring / Talent Assessment (Software Development)  
- **Target customers**: B2B – engineering teams, hiring managers, and recruiting functions at companies of all sizes (SMB to Fortune 100)  
- **Mission / Purpose**: Make tech hiring fair, fast, and realistic – moving beyond resumes and test-taking to evaluate real engineering skill.

## Products & Services
- **[CoderPad Screen](https://coderpad.io/)**: Pre-built, real-world coding assessments that provide structured scoring and integrity monitoring. Reduces time-to-hire by 30% and cost-per-hire by $30K+.  
- **[CoderPad Interview](https://coderpad.io/)**: Live, collaborative pair-programming environment with a multi-file IDE, AI assistants, private notes, code playback, and structured scoring.  
- **Enterprise Security & Integrations**: SOC 2 / ISO 27001 compliant; seamless ATS and scheduling integrations (e.g., monday.com, McAfee case studies).  

## Market Standing
- **Valuation**: Not disclosed  
- **Key Metric**: Estimated annual revenue ~$4M (LinkedIn data) — however, the platform powers 3M+ technical evaluations per year and is trusted by 4,000+ organizations in 165+ countries, including 20%+ of the Fortune 100.  
- **Notable Investors / Partners**: Not disclosed; key customers include monday.com, McAfee, and other enterprise teams.  
- **Growth Signals**: Employee headcount grew 9.2% YoY (67 employees); 96% candidate completion rate; 97% engineer preference; expanding AI features and multi-LLM integrations.

## Competitive Advantages
- **Real-world assessments**: Multi-file, project-based tasks (not algorithms) that mirror actual engineering work – leading to 60% higher completion rates versus other platforms.  
- **AI-native platform**: Built-in AI assistants with full context visibility (prompts, outputs, code edits) so interviewers can assess how candidates think and validate with AI.  
- **Candidate experience focus**: 96% of candidates finish assessments; strong brand perception among engineers.  
- **Scale & trust**: Used by 20%+ of Fortune 100 and thousands of global teams.

## Strategic Focus
- **AI-powered hiring**: Deepening AI integration in both screening and live interviews – using multiple LLM providers, streaming UX, and non-deterministic behavior handling.  
- **Fairness & realism**: Continuously improving assessment design to eliminate bias and test actual engineering capability rather than test-taking skills.  
- **Global expansion**: Maintaining a remote-first, distributed workforce (10+ countries) while serving customers in 165+ countries.

## Why Work Here
- **Culture**: Emphasis on curiosity, ownership, collaboration, transparency, and boldness. Written culture with async collaboration across time zones.  
- **Remote/Hybrid**: Remote-first; required overlap window with core team PST 7:00–16:00; on-call rotation about once every 8 weeks.  
- **Engineering Environment**: Small, reviewable changes; high-quality code reviews; AI tooling expected as part of daily work; strong focus on documentation and operational clarity.  
- **Impact**: Every employee helps people get jobs and helps companies build better teams. Diversity and inclusion are core values.  
- **Perks**: Not explicitly listed, but the tech stack includes modern AI/ML tools and a pragmatic architecture that values reliability and maintainability.

## Sources
1. [coderpad.io/careers](https://coderpad.io/careers/)  
2. [coderpad.io/about-us](https://coderpad.io/about-us/)  
3. [coderpad.io](https://coderpad.io/)  
4. [linkedin.com/company/coderpad](https://www.linkedin.com/company/coderpad)  
5. [jobs.lever.co/coderpad](https://jobs.lever.co/coderpad/7367bdea-c6a9-4bb8-991b-63fbb05a02bc)

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