Staff Software Engineer, Product

JobgetherSoftware marketplace

BrazilFull-TimeStaff

Salary85,000 - 125,000 USD per year

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Job Details

Bring extensive professional software engineering experience and a proven track record leading complex technical initiatives.
Have experience operating at senior technical leadership or Staff Engineer level.
Have practical daily production-development experience with AI coding agents such as Claude Code, Cursor, Codex, or equivalent tools.
Be able to direct AI agents using prompting, agent loops, evaluation frameworks, and review workflows.
Have experience with AI-assisted development workflows while retaining responsibility for technical direction, code quality, testing, and production readiness.
Demonstrate independent architectural and engineering judgment, complex problem-solving, and accountability for delivered solutions.
Understand product development and translate business needs and customer problems into practical technical solutions.
Have experience defining, tracking, and improving product or business metrics and evaluating post-launch performance.
Bring deep expertise in at least one relevant technology stack.
Understand system design, data modeling, API integrations, testing, deployment, observability, and production reliability.
Work effectively with Product Managers, designers, architects, and engineering peers.
Be comfortable working independently, documenting decisions, seeking feedback, and taking responsibility for results.

Lead engineering initiatives from problem definition and technical discovery through architecture, implementation, production deployment, and post-launch evaluation.
Own technical approaches, including system architecture, data models, integrations, rollout strategies, observability, and rollback plans.
Use AI coding agents such as Claude Code, Cursor, and Codex, and develop effective prompts, agent workflows, and guardrails.
Establish testing, evaluation, code review, and validation practices for secure, reliable, scalable, production-ready software.
Partner with Product Managers and designers to define scope, prioritize requirements, evaluate trade-offs, and inform user experience decisions.
Coordinate with engineering peers across initiatives and share technical knowledge and reusable practices.
Track initiative success metrics, review post-launch performance, and identify whether intended business outcomes were achieved.
Implement testing, staged rollouts, monitoring, and review gates to support safe production releases.
Document architectural decisions, implementation approaches, operational runbooks, AI workflows, and post-launch findings.

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