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Senior Software Engineer, Fullstack

CoderPad
On-site
Posted about 21 hours ago
Software Engineering

AI summary

You'll develop fullstack product features and improve AI-powered systems for technical interviews, covering both frontend and backend tasks. This role also involves mentoring other engineers and contributing to system reliability and architecture.

Eligible from: LATAMRequired overlap window with core team: Pacific 7:00 - 16:00

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.

Compensation

Additional Information

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About the job

Posted on
Oct 7, 2026
Job type
Full-time
Location
LATAMOn-site

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