Engineering Manager

Your Responsibilities

• Lead and manage a team of engineers across the complete software development lifecycle — from design and development through testing, deployment and ongoing maintenance.
• Own and drive engineering delivery in collaboration with Product, Design, Business and other cross-functional stakeholders.
• Translate product and business requirements into clear technical plans, milestones and deliverables.
• Coordinate and direct multiple engineering projects, create detailed execution plans, manage dependencies and ensure timely delivery.
• Drive engineering best practices around code quality, architecture, scalability, security, observability and system reliability.
• Participate in and provide direction on system architecture, technology choices and product design decisions, ensuring solutions are scalable, maintainable and aligned with the product roadmap.
• Ensure systems are designed to handle high concurrency, increasing user volumes, traffic spikes and transaction loads while maintaining performance and reliability.
• Identify and proactively address performance bottlenecks, scalability challenges, technical debt and production risks.
• Work closely with DevOps / Infrastructure teams to ensure reliable CI/CD, deployment, monitoring, logging, alerting and production operations.
• Drive effective incident management, root-cause analysis and preventive actions for production issues.
• Identify opportunities to leverage AI and emerging technologies in customer-facing product features, improving customer experience, personalisation, automation and product capabilities.
• Drive the adoption of AI tools and workflows to improve engineering efficiency, including software development, code quality, testing, documentation, debugging, developer productivity and engineering processes.
• Evaluate emerging AI technologies and identify practical opportunities to improve both product capabilities and engineering productivity.
• Analyse technology and resource requirements, product demands and technical feasibility of proposed initiatives.
• Establish and track engineering metrics related to delivery, quality, system performance, reliability and team productivity.
• Recruit, mentor and develop engineers; assign and review work; manage performance; and build the technical capabilities of the team.
• Foster a culture of ownership, collaboration, experimentation, continuous improvement and engineering excellence.
• Partner with management and other functions to understand business priorities and translate them into actionable engineering initiatives.
• Manage engineering resources, budgets and external technology/vendor requirements where applicable.
• Review and approve technical solutions, product changes and engineering deliverables.
• Prepare and present engineering plans, technical proposals, project updates, risks and findings to senior leadership and other stakeholders.
• Set technical and engineering goals within the broader strategic direction provided by the leadership team.

Skill Sets / Experience We Require

• 8–10 years of overall software engineering experience, with 2–5 years of experience in an Engineering Manager, Engineering Lead or equivalent people-management role.
• Prior experience working in a product-based technology company, with ownership of consumer-facing technology products.
• Strong experience building and/or managing B2C applications/products, preferably with significant user volumes and transaction-intensive use cases.

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• Strong understanding of software architecture, system design, scalability, performance optimisation and reliability engineering.
• Demonstrated understanding of concurrency, high-throughput systems, traffic/load management and designing systems that can scale with growing users and demand.
• Good understanding of DevOps practices, including CI/CD, deployment processes, cloud infrastructure, monitoring, logging, alerting and production operations.
• Strong understanding and practical fluency in AI and modern AI-enabled development, including the ability to identify and implement AI-led opportunities across both customer-facing product experiences and internal engineering workflows.
• Experience using or evaluating AI tools to improve developer productivity, coding, testing, debugging, documentation, knowledge management and engineering processes.
• Experience working closely with Product, Design and Business teams to translate requirements into scalable and commercially viable technology solutions.
• Strong leadership skills with the ability to hire, manage, mentor and develop high-performing engineering teams.
• Analytical and mathematical mindset, with the ability to evaluate and solve complex technical and business problems.
• Strong organisational and project management skills, with the ability to manage multiple projects, priorities, dependencies and timelines.
• Excellent stakeholder-management and interpersonal communication skills, with the ability to simplify and communicate complex technical concepts to a broader audience.
• Strong problem-solving and decision-making abilities, with a bias towards ownership and execution.
• Self-motivated and comfortable working in a fast-paced, product-led and timeline-driven environment.
• Ability to balance technical excellence, engineering velocity, scalability, reliability and business priorities.
• Ability to work independently as well as collaboratively as part of a cross-functional team.