
Staff Backend Engineer
Posted May 22

Posted May 22
This is a fully remote position, open to applicants in Portugal.
• Design context pipelines for AI agents: streamline inputs into the context window (repository boundaries, domain expertise, test results, CI feedback) to ensure agents generate reliable and mergeable code, rather than merely plausible code.
• Develop task specifications that are actionable for agents (clear acceptance criteria, referenced modules, and explicit constraints).
• Create and sustain agent-ready systems: well-defined repositories, comprehensive test suites as safeguards, and CI/CD pipelines with structured outputs that agents can interpret and act upon.
• Act as an AI Champion: engage with and enhance our expanding AI Champion community, participate in workshops, curate efficient agentic workflows, and mentor engineers on AI-supported practices. Contribute to organization-wide AI tooling assessments and OLX AI practices repositories.
• Spearhead the transition from a legacy monolithic architecture to microservices, making decisions on domain decomposition. Focus on optimizing agentic workflows within a codebase that is undergoing continuous boundary redefinition.
• Set high standards for GraphQL API design, RESTful contracts, database schema, and CI/CD quality throughout the team.
• Collaborate with product and engineering leadership to pinpoint high-value challenges, propose initiatives, and guide significant technical directions without direct authority.
• Assist senior engineers in managing and mitigating technical debt, leveraging AI as an enhancer rather than a shortcut.
• You utilize agentic workflows (such as Claude Code, Cursor Agent, or equivalent) as your primary approach, rather than as an exception.
• You engage in context engineering, not merely prompt engineering; you architect the complete information framework an AI agent requires to thrive: repository structure, CLAUDE.md / AGENTS.md configurations, pertinent code context, memory, and tool accessibility.
• You possess an understanding of model routing trade-offs (e.g., when to opt for Haiku, Sonnet, or Opus) and multi-agent orchestration.
• Strong sense of ownership: AI output is viewed as a first draft, not a finalized product; you validate, refine, and assume full responsibility.
• Solid foundation in Coding and Computer Science Fundamentals. Approximately two-thirds of your time will involve hands-on technical tasks: designing solutions, steering and reviewing AI-generated code, innovating new concepts, and evaluating contributions from others.
• Strong background in Golang and Java/Kotlin (preferred technologies), with the ability to work with PHP. Adaptable and capable of responding to evolving project needs, roles, and backend technologies.
• Expertise in Scalable Systems. Experience with large-scale web applications, an economic mindset, and the ability to design well-defined, future-proof domain systems aligned with business goals.
• In-depth knowledge of scalable distributed systems, CI/CD, RESTful and GraphQL APIs, AWS, and both relational and NoSQL databases.
• Strategic thinker: aligns technical choices with business strategy and influences without direct authority.
• Effective communicator in English across engineering, product, and leadership audiences.
• Proactive self-starter who identifies necessary tasks and takes initiative without needing prompting.
• Competent Technical Leader and Mentor: Support and guide engineers by setting a strong example. As a Staff Engineer, you are a role model, leading through your expertise and actions.
• Permanent contract
• Salary + annual bonus up to 20% of your annual gross salary
• Opportunity to work with and influence all OLX websites globally
• Training and conference budget, as well as free access to Udemy courses
• Health and life insurance
• MacBook Pro or a Windows Dell, along with necessary accessories for a comfortable work environment
• 100% remote work option (with the possibility to work from our office in Lisboa)
Confitec
DOMVS iT
Anyone AI
FCamara Consulting & Training
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