Engineering Manager

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Logo of MRSOOL | مرسول

MRSOOL | مرسول

201 - 500 employees

Founded 2015

🍽️ Food & Beverage

✈️ Travel

💼 Consulting

Food & Beverage • Travel • Consulting

MRSOOL is one of the largest delivery platforms in the region, offering an on-demand experience with high user ratings in both Apple's App Store and Google's Play store. MRSOOL provides a "order anything from anywhere" service backed by a large fleet of registered couriers. It enables businesses to access a vast user base, facilitating transformation to on-demand eCommerce and offering a flexible bidding system for service prices. MRSOOL also offers a personalized delivery experience with real-time tracking and communication with couriers, making it a leading option for ordering from local shops, groceries, and restaurants directly to your door.

📋 Description

• Lead, grow, and retain a team of 8–10 engineers, including hiring, performance management, career development, and team delivery cadence • Set technical direction for the Courier domain covering dispatch strategy, matching, courier pricing, and ETA • Drive RFCs, HLD/LLD design documents, execution plans, and high engineering standards • Define metrics, require measurement before and after changes, and use A/B and quasi-experimental testing • Partner with data scientists and ML systems on dispatch optimisation, dynamic and surge pricing, forecasting, and ETA prediction • Guide highly concurrent, low-latency systems handling massive real-time throughput and logistics data pipelines • Own reliability and root-cause discipline for the Courier domain • Champion staging/E2E validation, observability, tracing, metrics, and CI/CD • Partner with product, operations, data science, and engineering squads • Balance short-term delivery with long-term architectural stability and identify structural improvements

🎯 Requirements

• 8+ years in software engineering • 2+ years managing engineering teams • Experience in fast-paced product startups or high-scale tech enterprises • Track record leading teams delivering reliable, high-scale backend/distributed systems • Strong judgement on hiring, delivery, and raising technical standards • Strong grasp of data science and statistics, including experimentation, causal inference, forecasting, and optimisation/ML concepts • Distributed systems knowledge covering concurrency, event-driven architectures, and CAP theorem trade-offs • Comfortable with SQL and a backend language such as Go, Python, or Ruby • Understanding of production data pipelines feeding models and metrics • First-principles problem-solving and balancing reliability, latency, scaling, and cost • Bias toward early shipping and iterative incremental changes • Ability to navigate ambiguity, set technical and organisational expectations, handle stakeholders, and thrive in a fast-paced environment • Bachelor's/Master's degree in Computer Science or an equivalent technical field

🏖️ Benefits

• Inclusive and diverse workplace • Flexibility • Competitive compensation • Potential share options for certain roles • Regular training • Annual learning stipend • Autonomy • Mentorship • 5 days a week, 8 working hours and 1 hour lunch break

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