الصفحة الرئيسية ماليزيا Software Engineering Manager
الصفحة الرئيسية ماليزيا Software Engineering Manager
Software Engineering Manager
دوام كامل
في AirAsia
في
Malaysia
نُشرت يوم May 8, 2024
تفاصيل الوظيفة
Job Description
Are you ready to embark on a thrilling journey where innovation meets excellence? We're seeking trailblazers like you to join our dynamic team and take the lead in shaping the future of technology!WHAT YOU’LL CHAMPION:
- Rally and nurture distributed teams like a captain steering a ship through uncharted waters.
- Coach, mentor, and empower individuals on our team to unlock their full potential and reach new heights.
- Wave the flag of engineering best practices high and proud, inspiring others to follow suit.
- Embrace the spirit of agility and lead by example, championing an iterative approach to all our endeavors.
- Infuse quality into every fiber of our processes and products, ensuring excellence is our standard.
- Architect, implement, and oversee software development processes and tools, crafting a seamless experience for our users.
- Collaborate closely with our Product team to design software solutions that dazzle and delight.
- Set sail with the Operations team to define operational metrics, ensuring our software sails smoothly in the vast sea of production.
- Embrace the power of continuous integration and continuous delivery (CI/CD), helping us navigate the currents of modern technology.
- Juggle partnerships with 3rd party vendors like a master magician, ensuring our team has the resources it needs to thrive.
- Lead the charge in evolving our tech stack, from microservices to server-less wonders, weaving together the threads of modern programming languages and cutting-edge technologies.
- Be the beacon of innovation, spotting opportunities and navigating through the stormy seas of competition and technical challenges to lead us to victory.
ABOUT THE ROLE:
- Navigate the choppy waters of managing Software Engineers across multiple locations and time zones.
- Steer the ship of blended teams, combining in-house and outsourced talent to chart our course to success.
- Juggle multiple projects like a seasoned acrobat, keeping all the plates spinning without skipping a beat.
- Maneuver through the diverse landscapes of multiple technology stacks, ensuring we stay ahead of the curve in the ever-evolving world of technology.
- Lead the charge in ensuring AirAsia remains at the forefront of technological evolution, surpassing not only regional but industry peers as well.
WHO YOU ARE:
You're a seasoned leader with 10+ years of experience in Software Engineering, ready to chart a new course for success. Your expertise spans across multiple industry verticals, with a keen eye for innovation and excellence. You hold a diploma, degree, or equivalent in Computer Science/Information Technology, Science & Technology, or a related field.WHAT YOU'LL ENJOY:
- Physical Wellbeing: Dive into the sea of benefits including key medical and insurance coverage, maternity expenses, flexible work arrangements, and access to health and fitness amenities.
- Emotional Wellbeing: Take a breather with paid time off, indulge in wellness programs, and rest easy knowing childcare amenities are available.
- Financial Wellbeing: Set sail towards financial prosperity with resources for personal skills and career growth programs.
- Allstars Specials: Soar to new heights with perks like free flights, unlimited discounted flights, and exclusive partner discounts.
- A Unique Allstar Culture: Join a crew like no other, where innovation reigns supreme, and every team member is a shining star in our galaxy of success.
GET TO KNOW US:
Our story begins in 2001 with a dream, two planes and a 40 million ringgit debt. You’ll know us as the ‘Now Everyone Can Fly’ airline (if you don’t, we’re definitely older than you). Today, we’re more than just an airline. We’re Capital A - a world-class brand that wears many hats. Our mission is to connect people and transform lives in Asean. Above all, we’re Allstars. We believe in the unbelievable and we dare to dream. We also believe in celebrating all individuals. So no matter your culture and background or if you prefer aisle seat to window seat, we’re excited to have you onboard. We are all different - one talent to another - that is how we rely on our differences. At AirAsia, you will be treated fairly and given all chances to be your are committed to creating a diverse work environment and are proud to be an equal opportunity employer. #J-18808-LjbffrApply safely
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$themeUrl = 'https://jobs.laimoon.com/' $siteUrl = 'https://jobs.laimoon.com/' $staticUrl = 'https://cdn.laimoon.com/jobs/' $langCode = 'ar' $pageScripts = array( (int) 0 => 'page_script' ) $pageName = 'externalview' $courseUrl = 'https://courses.laimoon.com/ar/' $onlineCourses = array( (int) 0 => array( 'Course' => array( 'id' => '134192', 'seeder_id' => '43', 'edited_seeder_id' => '43', 'edited_client_id' => '8101', 'title' => 'Data Science Machine Learning with R ', 'external_link' => 'https://www.study365.co.uk/course/data-science-and-machine-learning-with-r-level-3/', 'objectives' => null, 'photo_cta' => null, 'photo' => null, 'length' => '', 'next_session' => '', 'schedules' => null, 'duration' => '28 Hours', 'base_duration' => '0', 'timing' => '', 'location' => 'Online', 'global_location_id' => '275', 'school' => 'Study 365', 'logo' => '', 'certificate_diploma' => 'yes', 'image' => '', 'brochure_url' => null, 'video' => '', 'cost' => '', 'price' => '19', 'price_enquiry' => '0', 'course_status' => 'Paid', 'base_price' => '24', 'nondiscounted_base_price' => '0', 'currency' => 'GBP', 'discount' => '90% Off for Laimoon Users!', 'free_trial_text' => '', 'laimoon_offer' => '0', 'summary' => '<strong>Overview<br> <br> Data Science and Machine Learning with R - Level 3</strong><br> <br> Data science is a field of study that combines programming skills with the knowledge of mathematics and statistics to extract insights from data. It’s an interdisciplinary field that uses scientific methods, processes, algorithms and systems to convert insights from unstructured data to structured knowledge, that can help them make decisions and take action across a broad range of application domains.<br> <br> Data science can be defined as a blend of mathematics; business acumen, tools, algorithms and machine learning techniques. All of these help us give meaning to raw data which can be of major use in the formation of big business decisions.<br> <br> This course will facilitate your growth of data skills and enhance your career. In this non-technical course, you’ll be introduced to everything you need to know about this fast-growing and exciting field. Learn real-world applications and gain understanding through quick non-coding exercises.<br> <br> <strong>Why You Should Consider Taking this Course at Study365?</strong><br> <br> The Data Science and Machine Learning with R Course is brought to you by Study365. We are a leading online education provider for several accredited organisations, and provide learners the opportunity to take this IAP course. At Study365, we give our fullest attention to the learners’ needs and ensure they have the necessary information required to proceed with the training.<br> <br> Our priority is on the advancement of knowledge and skills, we are bound to facilitate everything required to confirm a top-notch education service. We vouch for our learners an exclusive learning experience by paying close attention to each of their unique requirements and coming up with solutions every time. We provide them with state-of-the-art facilities using the latest technology.<br> <br> <strong>The benefits of studying with Study365 are ample. Here are just a few,</strong> <ul> <li>Unlimited 12 months access from anywhere, anytime</li> <li>Save time and money on travel</li> <li>Learn at your own pace</li> <li>Versatile and motivated learning</li> <li>A culture of continuous improvement</li> </ul> <strong>Description<br> <br> Learning Outcome</strong> <ul> <li>Understand data cleaning, processing and manipulation</li> <li>Learn Data and File Management in R</li> <li>Give a head start for individuals who want to start a career in the field</li> <li>Learn how to write complex R programmes for practical industry scenarios</li> </ul> <strong>Curriculum</strong><br> <br> <strong>[Module 01]</strong>Introduction to Data Science +ML with R from A-Z <ul> <li>Intro to DS+ML Section Overview</li> <li>What is Data Science?</li> <li>Machine Learning Overview</li> <li>Who is this course for?</li> <li>Data Science + Machine Learning Marketplace</li> <li>DS + ML Job Opportunities</li> <li>Data Science Job Roles</li> </ul> <strong>[Module 02]</strong>Getting Started with R <ul> <li>Getting Started</li> <li>Basics</li> <li>Files</li> <li>R Studio</li> <li>Tidyverse</li> <li>Resources</li> </ul> <strong>[Module 03]</strong>Data Types and Structures in R <ul> <li>Section Introduction</li> <li>Basic Types</li> <li>Vectors Part One</li> <li>Vectors Part Two</li> <li>Vectors: Missing Values</li> <li>Vectors: Coercion</li> <li>Vectors: Naming</li> <li>Vectors: Misc</li> <li>Matrices</li> <li>Lists</li> <li>Introduction to Data Frames</li> <li>Creating Data Frames</li> <li>Data Frames: Helper Functions</li> <li>Data Frames: Tibbles</li> </ul> <strong>[Module 04]</strong>Intermediate R <ul> <li>Section Introduction</li> <li>Relational Operators</li> <li>Logical Operators</li> <li>Conditional Statements</li> <li>Loops</li> <li>Functions</li> <li>Packages</li> <li>Factors</li> <li>Dates & Times</li> <li>Functional Programming</li> <li>Data Import/Export</li> <li>Databases</li> </ul> <strong>[Module 05]</strong>Data Manipulation in R <ul> <li>Section Introduction</li> <li>Tidy Data</li> <li>The Pipe Operator</li> <li>{dplyr}: The Filter Verb</li> <li>{dplyr}: The Select Verb</li> <li>{dplyr}: The Mutate Verb</li> <li>{dplyr}: The Arrange Verb</li> <li>{dplyr}: The Summarize Verb</li> <li>Data Pivoting: {tidyr}</li> <li>String Manipulation: {stringr}</li> <li>Web Scraping: {rvest}</li> <li>JSON Parsing: {jsonlite}</li> </ul> <strong>[Module 06]</strong>Data Visualization in R <ul> <li>Section Introduction</li> <li>Getting Started</li> <li>Aesthetics Mappings</li> <li>Single Variable Plots</li> <li>Two-Variable Plots</li> <li>Facets, Layering, and Coordinate Systems</li> <li>Styling and Saving</li> </ul> <strong>[Module 07]</strong>Creating Reports with R Markdown <ul> <li>Intro To R Markdown</li> </ul> <strong>[Module 08]</strong>Building Webapps with R Shiny <ul> <li>Intro to R Shiny</li> <li>A Basic Webapp</li> <li>Other Examples</li> </ul> <strong>[Module 09]</strong>Introduction to Machine Learning <ul> <li>Intro to ML Part 1</li> <li>Intro to ML Part 2</li> </ul> <strong>[Module 10]</strong>Data Preprocessing <ul> <li>Section Overview</li> <li>Data Preprocessing</li> </ul> <strong>[Module 11]</strong>Linear Regression: A Simple Model <ul> <li>Section Introduction</li> <li>A Simple Model</li> </ul> <strong>[Module 12]</strong>Exploratory Data Analysis <ul> <li>Section Introduction</li> <li>Hands-on Exploratory Data Analysis</li> </ul> <strong>[Module 13]</strong>Linear Regression: A Real Model <ul> <li>Section Introduction</li> <li>Linear Regression in R</li> </ul> <strong>[Module 14]</strong>Logistic Regression <ul> <li>Logistic Regression Intro</li> <li>Logistic Regression in R</li> </ul> <strong>[Module 15]</strong>Starting a Career in Data Science <ul> <li>Section Overview</li> <li>Creating A Data Science Resume</li> <li>Getting Started with Freelancing</li> <li>Top Freelance Websites</li> <li>Personal Branding</li> <li>Networking</li> <li>Setting Up a Website</li> </ul> <strong>Method of assessment</strong><br> This is a knowledge-based course, and thus, will contain no method of assessment.<br> <br> <strong>Certification</strong><br> Once the course is completed, the learners get awarded with a certificate of completion for ‘Data Science and Machine Learning with R - Level 3' by iAP.<br> <br> <strong>Awarding Body</strong><br> The International Awards for Professionals (iAP) is an awarding body established in 1999 that aims to promote a high educational standard. They hope to create online education that is trustworthy and credible. They are focused on raising the standards of online education, and ensuring it is accessible to all. The iAP provides accreditation for a range of educational establishments, and monitors and continually develops the educational standards of such institutions. 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Alexa provides capabilities, or skills, that allows customers to create a more personalised experience. Alexa is designed for voice recognition so that when a person issues a voice command, Alexa understands and provides a reply to that question in seconds. Smart voice assistants have expanded from personal use in the home to applications in public services and educational spaces. This course is meant for anyone who wants to build customised voice-enabled devices and fun-filled Alexa Gadgets.<br> <br> <strong>Why You Should Consider Taking this Course at Study365?</strong><br> <br> The Exploring Alexa Voice Services and Alexa Gadgets Course is brought to you by Study365. We are a leading online education provider for several accredited organisations, and provide learners the opportunity to take this IAP course. 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You hold a diploma, degree, or equivalent in Computer Science/Information Technology, Science & Technology, or a related field. </p><h3> WHAT YOU'LL ENJOY: </h3><ul><li><b> Physical Wellbeing: </b> Dive into the sea of benefits including key medical and insurance coverage, maternity expenses, flexible work arrangements, and access to health and fitness amenities. </li><li><b> Emotional Wellbeing: </b> Take a breather with paid time off, indulge in wellness programs, and rest easy knowing childcare amenities are available. </li><li><b> Financial Wellbeing: </b> Set sail towards financial prosperity with resources for personal skills and career growth programs. </li><li><b> Allstars Specials: </b> Soar to new heights with perks like free flights, unlimited discounted flights, and exclusive partner discounts. </li><li><b> A Unique Allstar Culture: </b> Join a crew like no other, where innovation reigns supreme, and every team member is a shining star in our galaxy of success. </li></ul><h3> GET TO KNOW US: </h3><p> Our story begins in 2001 with a dream, two planes and a 40 million ringgit debt. You’ll know us as the ‘Now Everyone Can Fly’ airline (if you don’t, we’re definitely older than you). Today, we’re more than just an airline. We’re Capital A - a world-class brand that wears many hats. Our mission is to connect people and transform lives in Asean. Above all, we’re Allstars. We believe in the unbelievable and we dare to dream. We also believe in celebrating all individuals. So no matter your culture and background or if you prefer aisle seat to window seat, we’re excited to have you onboard. We are all different - one talent to another - that is how we rely on our differences. 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الشركة المعلنة عن الوظيفة
AirAsia
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