Head of Engineering – Commercial - Jakarta - Paxel Indonesia

    Paxel Indonesia
    Paxel Indonesia Jakarta

    2 hari yang lalu

    Transportasi / Logistik
    Deskripsi
    We are seeking a Head of Engineering to lead the development and operations of our logistics technology platforms that power both customer-facing experiences and mission-critical back-office systems. This role will oversee engineering for our funnel products (mobile/web applications that drive customer acquisition, revenue conversion, and order management) as well as our productivity operational systems (HR, Finance, Legal, ERP).

    The ideal candidate is a strategic technology leader with a proven record of delivering large-scale, high-availability systems, managing sizable engineering teams, and driving innovation through modern software practices and AI adoption.

    Key Responsibilities

    Leadership & Strategy
    • Build, mentor, and scale a high-performing engineering team (40+ engineers across mobile, backend, DevOps, and enterprise systems).
    • Partner with C-level leadership (Product, Operations, Finance, Commercial) to align technology execution with nationwide logistics and growth strategies.
    • Drive engineering culture focused on speed, reliability, scalability, and security.
    • Ensure technology decisions support operational efficiency in high-volume logistics environments.

    Technology Ownership
    • Oversee development of customer-facing applications (iOS, Android, React Native, , Golang, Java) to drive funnel conversion, order tracking, payments, and client engagement.
    • Own and scale operational and back-office platforms (Odoo, HR, Finance/Accounting, Legal) with deep integration into logistics operations and nationwide delivery workflows.
    • Ensure applications stability that are streamlined with high TPS backends to perform seamlessly at scale.
    • Guarantee 99.99% uptime across mission-critical systems powering revenue generating activities.

    Engineering Excellence
    • Champion CI/CD pipelines, trunk-based development, GitFlow, and test automation to support rapid, reliable deployments.
    • Drive adoption of AI/ML tools to accelerate development, improve forecasting, routing optimization, fraud detection, and anomaly monitoring.
    • Implement best-in-class security practices, ensuring compliance with data protection standards, logistics industry regulations, and financial integrity.
    • Lead system observability and incident response frameworks to minimize downtime and operational disruptions.

    Operational Impact
    • Collaborate closely with operations teams to translate logistics workflows into scalable digital systems.
    • Build resilient platforms capable of handling nationwide network complexity, high concurrency, and peak demand during seasonal spikes.
    • Optimize infrastructure cost vs. performance for cloud-native environments (GCP/AWS).
    • Enhance back-office automation and reporting systems to streamline HR, finance, and compliance functions.

    Required Qualifications
    • 12+ years in software engineering with at least 8 years in senior engineering leadership roles.
    • Proven success leading large engineering teams (40+ engineers) in operationally heavy, mission-critical environments.
    • Hands-on experience with scalable, high-throughput systems requiring 99.99% uptime.
    • Strong technical background in mobile/web platforms, microservices, real-time logistics/transaction systems.
    • Expertise in current stack: Swift, Kotlin, Golang, Java, , React Native, PostgreSQL, MongoDB, Kubernetes.
    • Deep knowledge of CI/CD pipelines, trunk-based development, and DevOps best practices.
    • Strong foundation in software security, secure architecture, and compliance frameworks.

    Preferred / Good-to-Have
    • Experience in logistics, e-commerce, or fintech platforms with high operational complexity.
    • Familiarity with routing optimization, fleet management, supply chain integrations, or real-time delivery tracking systems.
    • Success in scaling platforms across a nationwide user and operations base.
    • Knowledge of AI/ML in logistics optimization (e.g., demand forecasting, route planning, predictive maintenance).
    • Experience with AI/ML for software delivery acceleration, personalization, or operational automation.
    • Prior success in balancing funnel (revenue-critical) systems and internal back-office platforms.
    • Exposure to enterprise-grade ERP systems integration and customization.
    • Strong financial literacy and experience collaborating with CFO/COO on cost optimization and system investments.
    • Excellent stakeholder management, executive communication, and cross-functional leadership.

    Key Soft Skills
    • Strategic mindset with ability to balance growth, operational resilience, and cost efficiency.
    • Strong decision-making under pressure, especially in time-sensitive logistics environments.
    • Excellent communication skills to bridge technology, operations, and business stakeholders.
    • Passion for leading tech innovation in logistics and delivering measurable impact on nationwide operations.
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