Engineering Manager

Mrsool 3; India; Remote; INR 700,000 - 1,200,000; Full time

Benefits offered by this job

Inclusive and Diverse Environment

Competitive compensation with share/RS

Learning stipend and growth support

Autonomy and mentorship

Job summary

Mrsool is seeking an experienced Engineering Manager to lead 8–10 engineers building core real-time, high-scale services for orders, dispatch, payments, and user experiences. This hands-on leadership role combines delivery ownership with technical direction and data-driven decision making.

You will work with data scientists and ML systems, design low-latency architectures, and ensure reliability with end-to-end observability and CI/CD.

Qualifications

• 8+ years in software engineering and 2+ years leading teams.
• Strong judgement on hiring, delivery and raising the technical bar.
• Solid data science & analytics capabilities including experimentation and forecasting.
• Deep understanding of distributed systems, concurrency and CAP trade-offs.
• Proficiency with production code and data using SQL and a backend language (Go/Python/Ruby).
• First-principles problem solving balancing reliability, latency, scaling and cost.
• Bias toward shipping early and iterating in small steps.
• Proven ability to navigate ambiguity and set clear expectations for a fast-paced environment.
• Bachelor's or Master's degree in Computer Science or equivalent.

Responsibilities

• Lead, grow, and retain a team of 8–10 engineers; own hiring and performance management.
• Set technical direction for your domain with RFCs, design docs, and execution plans; maintain high engineering standards.
• Ground team decisions in data; define metrics and use experiments to validate changes.
• Collaborate with data scientists and ML systems for forecasting, optimization, and personalization.
• Design highly concurrent, low-latency systems for real-time throughput and data pipelines.
• Own reliability and root-cause discipline; champion observability and CI/CD.
• Partner with product, operations, data science, and other engineering squads.
• Balance short-term delivery with long-term architectural stability.

Skills

8+ years software

Engineering leadership

Data science & analytics

Distributed systems

Go/Python/Ruby

SQL

Backend systems

Architectural design

Education

Bachelor's/Master's CS

Tools

SQL

Go

Python

Ruby

Job description

Who Are We

Welcome to the world of Mrsool! Where on-demand delivery meets unparalleled user needs to deliver anything you desire. As one of the largest delivery platforms in the Middle East and North Africa (MENA) region, Mrsool has captivated users with its unique and seamless experience, earning it the highest ratings among all major delivery platforms on both Apple's App Store and Google's Play Store.

What sets Mrsool apart is its commitment to providing an unmatched "order anything from anywhere" experience. This extraordinary feat is made possible by our extensive fleet of dedicated on-demand couriers. With their unwavering dedication, they ensure that your desired items reach your doorstep, no matter where you are.

Whether it's a late-night craving, a forgotten item, or a special gift for a loved one, Mrsool is here to deliver, quite literally. We take pride in the convenience we offer, empowering you to get what you need when you need it, all at the tap of a button.

The Job in a Nutshell

We are seeking an experienced Engineering Manager to lead a team of 8 to 10 engineers building systems at the heart of Mrsool's marketplace - the real-time, high-scale services that power ordering, dispatch, payments, and the experiences our millions of users and couriers rely on every day. This is a hands-on, data-driven leadership role. You will own delivery and technical direction for your team while bringing sharp analytical judgement to problems that live at the intersection of distributed systems and applied data science. You will make a direct impact on reliability, unit economics, and the growth of the platform at scale.

What You Will Do

Team Leadership: Lead, grow, and retain a team of 8–10 engineers. Own hiring, performance management, career development, and the health and delivery cadence of the team.

Technical Direction: Set technical direction for your domain — driving RFCs, design docs (HLD/LLD), and execution plans, and holding a high bar for engineering standards.

Data-Driven Decision Making: Ground team decisions in data. Define the right metrics, insist on measurement before and after changes, and use experimentation (A/B and quasi-experimental) to validate that changes actually move the numbers rather than shifting them around.

Applied Data Science Partnership: Work fluently with data scientists and ML systems — forecasting, optimisation, personalisation, and prediction — enough to challenge modelling choices, reason about trade-offs, and integrate models reliably into production systems.

System Architecture & Scale: Guide the design of highly concurrent, low-latency systems that process massive real-time throughput - event streams, microservices, and the data pipelines that feed them - while safeguarding data consistency and performance.

Operational Excellence: Own reliability and root-cause discipline for your domain. Champion staging/E2E validation, observability (tracing/metrics), and CI/CD so that issues are caught before customers feel them, and diagnosed with data when they aren't.

Cross-Functional Collaboration: Partner closely with product, operations, data science, and peer engineering squads to align on strategy and deliver seamless, well-instrumented experiences.

Strategic Evolution: Balance short-term delivery against long-term architectural stability. Identify structural improvements to how the team measures, builds, and operates, and make the case for them with evidence.

Requirements

What Are We Looking For

• Years of Experience: 8+ years in software engineering, including 2+ years managing engineering teams, ideally in fast-paced product startups or high-scale tech enterprises.
• Engineering Leadership: A track record of leading teams to ship reliable, high-scale backend/distributed systems, with strong judgement on hiring, delivery, and raising the technical bar.
• Data Science & Analytical Strength: Strong grasp of data science and statistics — experimentation and causal inference, forecasting, and optimisation/ML concepts — with the analytical ability to interrogate models and metrics rather than take them at face value. This is a core requirement, not a nice-to-have.
• Distributed Systems Depth: Solid computer-science fundamentals across distributed systems, concurrency, event-driven architectures, and the trade-offs of the CAP theorem.
• Technical Toolkit: Comfortable reading and reasoning about production code and data (SQL and a backend language such as Go, Python, or Ruby), and about the pipelines that feed models and metrics.
• Architectural Mindset: A knack for first-principles problem-solving and a strong record of balancing Non-Functional Requirements like reliability, latency, scaling, and cost.
• Iterative Mindset: A bias towards shipping early and iterating; a belief in small, incremental changes over large, multi-quarter undertakings.
• Leadership & Ambiguity: Proven ability to navigate ambiguity, set clear technical and organisational expectations, handle stakeholders, and thrive in a fast-paced environment.
• Education: Bachelor's/Master's degree in Computer Science or an equivalent technical field.

Who Will Excel

• Managers who came up as strong ICs in backend/distributed systems and stayed technical enough to lead from the front on hard problems.
• Those with a background in logistics, ride-hailing, quick commerce, or marketplaces, who understand two-sided supply/demand dynamics and real-time dispatch.
• Leaders who treat data science as a first-class part of the product — dispatch, matching, and pricing — and can bridge engineering and DS effectively.
• High-agency individuals who drive consensus across conflicting technical perspectives and hold the line on operational rigour.

Benefits

What We Offer You

• Inclusive and Diverse Environment: We foster an inclusive and diverse workplace that values innovation and provides Inclusive and Diverse Environment: We foster an inclusive and diverse workplace that values innovation and offers remote environments.
• Competitive Compensation: Our compensation packages are highly competitive and include potential share options for certain roles.
• Personal Growth and Development: We are committed to your personal and professional growth, providing regular training and an annual learning stipend to help you advance your career in a dynamic environment.
• Autonomy and Mentorship: You'll enjoy a high degree of autonomy in your role, supported by mentorship and ambitious goals that pave the way for both your success and the company's growth.