Integration Engineer – Fraud Protection (Python, JavaScript)

About the role

About the team

Responsibilities

• 6+ years of engineering experience, including 3+ years building production ML systems (NLP, LLM applications, embeddings, or classification at scale)
• 2+ years as an Engineering Manager or ML Team Lead at a fast-growing e-commerce, marketplace or fintech company
• Hands-on experience shipping LLM-based products: prompt and pipeline design, fine-tuning, evaluation, cost and latency control, self-hosted and API-based models
• Experience building and operating large-scale data and ML pipelines (batch and streaming), and making them observable, reproducible and reliable
• Solid backend fundamentals; you are comfortable reviewing Go and Python services and reasoning about distributed systems
• Our stack: Python, Go, PostgreSQL, Pub/Sub, BigQuery, GCS, Kubernetes, Google Cloud Platform, Airflow, and a microservices architecture
• A strong grasp of ML evaluation: golden datasets, labeling workflows, offline metrics, and A/B testing tied to business outcomes
• Product sense: you connect catalogue quality to conversion, discovery and merchant growth, and you can prioritise accordingly
• A proactive mindset and the ability to work independently
• Strong communication skills in English (B2 level or higher)
  
  

• Experience with product catalogues, PIM systems, or marketplace content moderation
• Experience with Arabic-language content
• Familiarity with data residency and regulated-data requirements

Qualifications

• Own the end-to-end product data pipeline: ingestion from feeds and plugins, ML enrichment, moderation and publication, with clear SLAs for freshness, coverage and quality
• Lead the ML roadmap for catalogue intelligence: category tree and attribute coverage, translation quality, ML-assisted moderation, item embeddings and recommendations
• Lead large cross-team projects and drive them to production
• Contribute to quarterly planning and roadmap definition; define and report OKRs for catalogue quality and personalisation
• Review feature designs and ensure non-functional requirements are met, including ML evaluation, inference cost, latency and data residency
• Build and maintain the evaluation and labeling infrastructure that lets the team measure every model change before it reaches production
• Oversee technical debt management and incident handling across ML and backend services
• Hire, evaluate, and motivate team members; grow ML engineers into owners of business outcomes
• Build cross-team and cross-functional collaboration with Shopping, Offers, Monetisation, catalogue operations and partner support to increase efficiency
• Foster a results- and business-oriented culture
• Monitor key team performance indicators
• Ensure process and delivery transparency for stakeholders and partner functions
• Optimise processes to improve productivity

Benefits

• Full-time B2B contract
• Fully remote setup
• Up to 20% tax allowance
• 22 paid leave days annually
• Stock options (ESOP) in a fast-scaling, pre-IPO company
• Flexi benefits you can use for wellness, travel, or learning
• Work alongside a high-performing, international engineering team in a global fintech unicorn

About the role

Responsibilities

• Lead and grow engineering teams, supporting new developers' adaptation and career development
• Manage project planning, execution, and resource allocation to ensure high-quality and on-time software delivery
• Align engineering efforts with business goals through close collaboration with stakeholders
• Develop and optimize engineering processes, tools, and technologies in collaboration with the team
• Build and nurture a developer community within the company and participate in external conferences
• Oversee the use of core technologies, including Golang, Python, MySQL, Kubernetes to ensure efficient development practices

Qualifications

• Demonstrated experience in engineering management with a strong background in software development
• Solid understanding of high-volume projects, server and client architecture, and development limitations
• Excellent leadership and communication abilities, with a talent for explaining complex technical concepts by sharing your technical expertize 
• Ability to manage multiple projects simultaneously, ensuring timely and quality delivery
• Enthusiasm for new technologies and a commitment to ongoing skill development and teamwork
• BS/MS in Engineering, Computer Science, or a related field
• Experience working on Grocery, Marketplace, or other e-commerce products, with a strong understanding of their business and technical challenges

Benefits

• Help us challenge injustice by creating fair choices for millions of people across 47 countries
• Develop your professional skills with access to mentoring, career consulting, and learning programs
• Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
• Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
• Work alongside people who take initiative, speak openly, and challenge themselves to grow
• Improve your language skills through co-financed courses and internal speaking clubs
• Annual salary from 90 700 EUR gross

About the role

Responsibilities

• Developing backend services for a grocery storefront, including catalog, categories, search, PDP, cart, and checkout.
• Working with large catalogs and assortments that depend on a specific store, warehouse, or user location.
• Handling frequently changing prices, inventory, discounts, and product availability.
• Validating the cart before checkout, including prices, availability, quantity limits, minimum order value, and store restrictions.
• Supporting grocery-specific scenarios such as weighted products, unavailable items, and substitutions.
• Integrating with catalog, pricing, inventory, order, payment, and delivery services.
• Onboarding grocery partners with different APIs and data models.
• Ensuring low latency, high availability, and resilience of customer-facing flows.

Qualifications

• Mandatory: proven experience in the grocery
• 5+ years of commercial backend engineering. With experience solving complex problems in high-load environments
• Strong knowledge of Go programming language. Knows and has applied advanced features of the Go language in practice
• Strong SQL knowledges, including designing schemas, scaling strategies (replication, partitioning, sharding) and query optimisation for high-load environment
• In-depth knowledge of Redis, familiar with various data structures, and its efficient use in high-load systems
• Experience working with Docker, understanding CI/CD pipelines. Knows how work k8s (or analogs) and cloud infrastructure (like AWS)
• Experience with synchronous and asynchronous inter-service communication patterns, with a focus on reliability in high load environment
• Knows main microservice architecture patterns. Deep understanding of how to build efficient interactions between client and server applications, knows limitations
• Proven ability to design and implement a full observability strategy, including metrics, logging, dashboards, and tracing
• An interest in new technologies, a collaborative spirit, and a drive to continuously develop your skills

Benefits

• Help us challenge injustice by creating fair choices for millions of people across 47 countries.
• Develop your professional skills with access to mentoring, career consulting, and learning programs.
• Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
• Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
• Work alongside people who take initiative, speak openly, and challenge themselves to grow.
• Improve your language skills through co-financed courses and internal speaking clubs.