Who we are looking for:
- You use agentic workflows (Claude Code, Cursor Agent, or equivalent) as your default, not as a novelty; you understand model routing trade-offs (e.g., when to use Haiku vs. Sonnet vs. Opus) and multi-agent orchestration.
You practice context engineering, not just prompt engineering; you design the full information architecture an AI agent needs to succeed: repo structure, CLAUDE.md / AGENTS.md configs, relevant code context, memory, and tool access.
You have strong CS fundamentals and hands-on technical depth in Golang, Java (Kotlin) (preferred technologies), able to work with PHP; you spend the majority of your time designing solutions, steering and reviewing AI-generated code, and contributing to a large-scale codebase.
You have scalable systems expertise: experience with large-scale web applications, well-bounded domain design, AWS cloud architecture, IaC (Terraform, CloudFormation), and solid database fluency (MySQL, DynamoDB, Redis, Memcached).
You are a product-minded engineer: you challenge decisions with a cost/value lens, articulate how services should evolve to meet business goals, and communicate clearly in English across engineering and product audiences.
You live "you build it, you run it, you own it." AI output is a first draft, not a deliverable. You validate, refactor, take full accountability, and proactively identify what needs to be done without waiting to be asked.
What you will be doing:
- Apply context pipeline discipline within your team's codebase: scope context windows to repo boundaries, domain knowledge, test outputs, and CI feedback so agents consistently produce reliable, mergeable code on real team work items.
Write agent-actionable task specifications for your team's backlog (clear acceptance criteria, referenced modules, explicit constraints) and keep the codebase agent-ready: well-bounded repos, comprehensive test suites as guardrails, and CI/CD pipelines with structured output agents can parse and act on.
Lead delivery of complex initiatives: break them into incremental milestones, manage cross-team dependencies, navigate ambiguity, and make deliberate quality-vs-delivery trade-offs, ensuring timely delivery without sacrificing standards.
Mentor engineers and contribute to the AI Champion community: share effective agentic workflows, run workshops, and help the team adopt AI-assisted practices.
Uphold standards for GraphQL API design, RESTful contracts, database schema, and CI/CD quality; lead incident response for your team; and manage technical debt with AI as an accelerator, not a shortcut.
Our Hiring Process:
- Recruiter Interview
People Manager Interview
Live Coding
System Design
Our Benefits:
- Being an OLX colleague brings many rewards, such as a competitive salary, a world-class training and development program, flexible working options, and many more location-based benefits, which for this role include:
- Flexible benefits plan
- 3 extra vacation days
- Health Insurance (extendable to family)
- Life Insurance
- Remote or hybrid monthly allowance (incl. transportation supplement)
- Meal Allowance
- Urban Sports subscription (pack M)
- English & Portuguese Classes
- Marriage Bonus
- New baby bonus
- Discount website
- Welcome pack
Skills Required
- Experience with agentic workflows (e.g., Claude Code, Cursor Agent) and multi-agent orchestration
- Context engineering and designing information architecture for AI agents (repo structure, memory, tool access)
- Strong computer science fundamentals and hands-on backend development experience
- Proficiency in Golang
- Experience with Java / Kotlin (Kotlin noted as preferred)
- Ability to work with legacy PHP when needed
- Experience building large-scale web applications and well-bounded domain design
- AWS cloud architecture experience
- Infrastructure-as-Code experience (Terraform, CloudFormation)
- Database fluency: MySQL, DynamoDB, Redis, Memcached
- Familiarity with GraphQL API design and RESTful contracts
- Experience with GitLab CI/CD and creating agent-parseable CI outputs and comprehensive test suites
- Strong English communication and product-minded engineering approach
- Experience mentoring engineers and driving adoption of AI-assisted practices
What We Do
At OLX, we build leading marketplace ecosystems enabled by tech, powered by trust, and loved by our customers. Together we're building a more sustainable world through trade. Serving tens of millions of people every month, we help people buy and sell cars, find housing, get jobs, buy and sell household goods, and much more. Our well-loved consumer brands (including OLX, Otomoto, Otodom, Property24, and more) offer safe, smart, and convenient trading platforms and services for our customers. OLX is powered by teams around the world, who are unified in their ambition to help people get more from the world’s limited resources. We are OLX.
