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. 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.

Senior Software Engineer, Fullstack

Visa sponsorship

similar openings