الصفحة الرئيسية نيوزيلندا Software Engineering Manager (FE) - Editing APIs (AU remote)
الصفحة الرئيسية نيوزيلندا Software Engineering Manager (FE) - Editing APIs (AU remote)
Software Engineering Manager (FE) - Editing APIs (AU remote)
تفاصيل الوظيفة
Join the team redefining how the world experiences design. Hey, g'day, mabuhay, kia ora,你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work. That means if you want to do your thing in the office (if you're near one), at home or a bit of both, it's up to you. What you’d be doing in this role As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve. At the moment, this role is focused on:
- Coaching, mentoring and growing a team of engineers while developing your coaching capability to scale the team and meet the needs of the growing editing vision.
- As a technical lead, you will have a hands-on focus on technical problems, solving the most ambitious problems, and guiding the team to deliver results.
- As an experienced engineer, you will help the team deliver scalable and robust APIs to the core experience for Canva.
- Collaborating with the Product Manager to understand and contribute to the product roadmap.
- Driving the planning and refinement of seasonal goals, ensuring there is alignment between the company, group, and teams.
- Fostering a culture of collaboration and advocate for the engineering needs of non-technical collaborators within the group.
- Owning and driving the delivery of large, cross-team, and cross-group initiatives and projects from ideation to completion, with autonomy and independence of decision making.
- Experience in technical people leadership or mentorship of software engineers.
- Commercial experience in a software development environment, ideally with experience in building frameworks, libraries or APIs.
- Our frontend stack consists of JavaScript, HTML, CSS, React, TypeScript, MobX, etc.. Experience in some of these would be valuable but is not required.
- Firmly grounded computer science and engineering fundamentals including concurrency, multithreading, data structures, solution design, architecture, and design patterns.
- Previous experience in working collaboratively with team members and communicating effectively.
- Strong problem-solving skills, with the ability to break large projects down into smaller ones and deliver on them through others.
- Good writing and verbal communication skills.
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remote)', 'vacancies' => null, 'job_type_id' => null, 'description' => null, 'pay_status' => 'Free', 'external_job_description' => '<p> <p> <b> Join the team redefining how the world experiences design. </b></p> <p> Hey, g'day, mabuhay, kia ora,你好, hallo, vítejte! </p> <p> Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. </p> <p> <b> Where and how you can work </b></p> <p> Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work. That means if you want to do your thing in the office (if you're near one), at home or a bit of both, it's up to you. </p> <p> <b> What you’d be doing in this role </b></p> <p> As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve. </p> <p> <b> At the moment, this role is focused on: </b></p> <ul> <li> Coaching, mentoring and growing a team of engineers while developing your coaching capability to scale the team and meet the needs of the growing editing vision. </li> <li> As a technical lead, you will have a hands-on focus on technical problems, solving the most ambitious problems, and guiding the team to deliver results. </li> <li> As an experienced engineer, you will help the team deliver scalable and robust APIs to the core experience for Canva. </li> <li> Collaborating with the Product Manager to understand and contribute to the product roadmap. </li> <li> Driving the planning and refinement of seasonal goals, ensuring there is alignment between the company, group, and teams. </li> <li> Fostering a culture of collaboration and advocate for the engineering needs of non-technical collaborators within the group. </li> <li> Owning and driving the delivery of large, cross-team, and cross-group initiatives and projects from ideation to completion, with autonomy and independence of decision making. </li></ul> <p> <b> You're probably a match if you have: </b></p> <ul> <li> Experience in technical people leadership or mentorship of software engineers. </li> <li> Commercial experience in a software development environment, ideally with experience in building frameworks, libraries or APIs. </li> <li> Our frontend stack consists of JavaScript, HTML, CSS, React, TypeScript, MobX, etc.. Experience in some of these would be valuable but is not required. </li> <li> Firmly grounded computer science and engineering fundamentals including concurrency, multithreading, data structures, solution design, architecture, and design patterns. </li> <li> Previous experience in working collaboratively with team members and communicating effectively. </li> <li> Strong problem-solving skills, with the ability to break large projects down into smaller ones and deliver on them through others. </li> <li> Good writing and verbal communication skills. </li></ul> <p> <b> About the team </b></p> <p> The mission of the Editing API team is to expose core editing functionality via powerful, well documented, well supported APIs to allow both internal and external developers to extend and enhance the Canva Editor. </p> <p> The Editor sits at the heart of Canva’s mission to empower everyone to design anything. 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We also offer a stack of benefits to set you up for every success in and outside of work. </p> <p> <b> Here's a taste of what's on offer: </b></p> <p> • Equity packages - we want our success to be yours too </p> <p> • Inclusive parental leave policy that supports all parents & carers </p> <p> • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more </p> <p> • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally </p> <p> Check out lifeatcanva.com for more info. </p> <p> <b> Other stuff to know </b></p> <p> We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. 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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. 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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. 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It is also well suited for those who are already working and would like to take certification for further career progression.<br /> Earning Vskills C Developer Certification can help candidate differentiate in today's competitive job market, broaden their employment opportunities by displaying their advanced skills, and result in higher earning potential.<br /> <br /> <strong>Who will benefit from taking this certification?</strong><br /> Certified professionals looking to find employment in IT or software development departments of various companies, students generally wanting to improve their skill set and make their CV stronger and existing employees looking for a better role can prove their employers the value of their skills through this certification.<br /> <br /> <strong>Companies that hire Vskills Certified C Developer</strong><br /> C Developers are in great demand. Companies specializing in system or software development are constantly hiring skilled C developers. 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We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. </p> <p> <b> Where and how you can work </b></p> <p> Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work. That means if you want to do your thing in the office (if you're near one), at home or a bit of both, it's up to you. </p> <p> <b> What you’d be doing in this role </b></p> <p> As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve. </p> <p> <b> At the moment, this role is focused on: </b></p> <ul> <li> Coaching, mentoring and growing a team of engineers while developing your coaching capability to scale the team and meet the needs of the growing editing vision. </li> <li> As a technical lead, you will have a hands-on focus on technical problems, solving the most ambitious problems, and guiding the team to deliver results. </li> <li> As an experienced engineer, you will help the team deliver scalable and robust APIs to the core experience for Canva. </li> <li> Collaborating with the Product Manager to understand and contribute to the product roadmap. </li> <li> Driving the planning and refinement of seasonal goals, ensuring there is alignment between the company, group, and teams. </li> <li> Fostering a culture of collaboration and advocate for the engineering needs of non-technical collaborators within the group. </li> <li> Owning and driving the delivery of large, cross-team, and cross-group initiatives and projects from ideation to completion, with autonomy and independence of decision making. </li></ul> <p> <b> You're probably a match if you have: </b></p> <ul> <li> Experience in technical people leadership or mentorship of software engineers. </li> <li> Commercial experience in a software development environment, ideally with experience in building frameworks, libraries or APIs. </li> <li> Our frontend stack consists of JavaScript, HTML, CSS, React, TypeScript, MobX, etc.. Experience in some of these would be valuable but is not required. </li> <li> Firmly grounded computer science and engineering fundamentals including concurrency, multithreading, data structures, solution design, architecture, and design patterns. </li> <li> Previous experience in working collaboratively with team members and communicating effectively. </li> <li> Strong problem-solving skills, with the ability to break large projects down into smaller ones and deliver on them through others. </li> <li> Good writing and verbal communication skills. </li></ul> <p> <b> About the team </b></p> <p> The mission of the Editing API team is to expose core editing functionality via powerful, well documented, well supported APIs to allow both internal and external developers to extend and enhance the Canva Editor. </p> <p> The Editor sits at the heart of Canva’s mission to empower everyone to design anything. There are hundreds of developers directly contributing to it and there is a big opportunity to enable these developers to move faster and add more powerful functionality by exposing better, more robust and safer APIs. </p> <p> The Editing APIs team is a brand-new team within the Editing group and is expected to grow to ~5 engineers and a product manager by mid 2024. </p> <p> <b> About the role </b></p> <p> Due to incredible product growth and the demand for exciting new features and functionality that will elevate the user experience to new heights, we're seeking to hire a technical leader that is close to the code but motivated by building high-functioning teams and world-class products. </p> <p> You are someone who wants to be in the thick of it - working across technical design, code architecture, hiring, engagement with key partners across the business, and professional growth and development of the people they lead. </p> <p> <b> What's in it for you? </b></p> <p> Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work. </p> <p> <b> Here's a taste of what's on offer: </b></p> <p> • Equity packages - we want our success to be yours too </p> <p> • Inclusive parental leave policy that supports all parents & carers </p> <p> • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more </p> <p> • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally </p> <p> Check out lifeatcanva.com for more info. </p> <p> <b> Other stuff to know </b></p> <p> We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. 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الشركة المعلنة عن الوظيفة
Canva
-
Data Science Machine Learning with R Study 36588 درهممدة الدورة التدريبية: 28 Hours
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Certified C Developer Vskills182 درهم
426 درهممدة الدورة التدريبية: 1 To 2 Months
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