Description review
Senior Software Engineer, Fullstack
CoderPad · LATAM · back to the listing
HR standards
58/100
needs work
Title ↔ description
93/100
strong
Reads as
Full-Stack Engineer
100% confident
How others title the same work
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What the listing never says
- 32 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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
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