[{"additional":"","additionalPlain":"","categories":{"commitment":"Full time","department":"Research & Analysis","location":"Toronto","team":"Data Scientist","allLocations":["Toronto"]},"createdAt":1682140988745,"descriptionPlain":"“Make every logistics journey your best one yet”\n\nThe Company.\nFounded in 2014, Quincus is a B2B supply chain operating SaaS platform headquartered in Singapore. We solve today's global supply chain challenges with groundbreaking technology. Using AI and machine learning, we have digitized and optimized the logistics process while giving customers full transparency into their supply chain. \n \nQuincus was founded by two visionary entrepreneurs who possess more than a decade of experience in tech. Chief Product Officer Katherina-Olivia Lacey is leading a tech revolution in this space while empowering women in the supply chain industry. Jonathan E. Savoir, Chief Executive Officer, appeared on Forbes' 30 Under 30 Asia List in 2020, and also serves on the boards of several startups.  \n\nOverview.\nQuincus Research is building the next generation of intelligent systems for all Quincus products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Quincus Research teams collaborate closely with other teams across Quincus, maintaining the flexibility and versatility required to adapt new projects and focuses that meet the demands of the world's fast-paced business needs. \n\nJob Overview. \nWe are looking for a highly motivated and experienced machine learning engineer to join our team and help us develop and deploy deep learning and reinforcement learning algorithms at scale. As a machine learning engineer, you will be responsible for designing and implementing scalable systems for serving models, optimizing inference performance, and managing production workflows. \n\nResponsibilities: \n- Design and implement scalable systems for serving deep learning and reinforcement learning models.\n- Optimize inference performance of deep learning and reinforcement learning models using techniques such as quantization, pruning, and distillation.\n- Utilize GPU computing to accelerate model training and inference.\n- Develop and deploy production workflows for training and serving machine learning models.\n- Collaborate with data scientists and software engineers to design and implement machine learning systems.\n- Monitor and improve the performance of machine learning models in production.\n- Stay up-to-date with the latest research and techniques in deep learning and reinforcement learning. \n \nQualifications:\n- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.\n- 3+ years of experience in software engineering or machine learning engineering.\n- Strong programming skills in Python (C++ or Java a plus)\n- Experience with deep learning frameworks such as TensorFlow or PyTorch.\n- Experience with GPU programming using CUDA, OpenCL, or similar libraries.\n- Experience with distributed systems and cloud computing platforms such as Kubernetes, Docker, GCP, and AWS. \n\nPreferred Qualifications: \n- Ph.D. in Computer Science, Electrical Engineering, or a related field.\n- 5+ years of experience in software engineering or machine learning engineering.\n- Experience with reinforcement learning algorithms and frameworks.\n- Experience with production deployment of machine learning models and implementation of APIs for big data.\n- Strong understanding of computer architecture and performance optimization.\n- Strong communication and collaboration skills. \n\nIf you are passionate about developing and deploying machine learning algorithms at scale, and want to join a dynamic team working on cutting-edge technology, we encourage you to apply for this position.\n","description":"<div><b>“Make every logistics journey your best one yet”</b></div><div><br></div><div><b><i><u>The Company.</u></i></b></div><div>Founded in 2014, Quincus is a B2B supply chain operating SaaS platform headquartered in&nbsp;Singapore. We solve today's global supply chain challenges with groundbreaking technology. Using AI and machine learning, we have digitized and optimized the logistics process while giving customers full transparency into their supply chain.&nbsp;</div><div>&nbsp;</div><div>Quincus was founded by two visionary entrepreneurs who possess more than a decade of experience in tech. Chief Product Officer&nbsp;Katherina-Olivia Lacey&nbsp;is leading a tech revolution in this space while empowering women in the supply chain industry.&nbsp;Jonathan E. Savoir, Chief Executive Officer, appeared on Forbes' 30 Under 30 Asia List in 2020, and also serves on the boards of several startups.&nbsp;&nbsp;</div><div><br></div><div><b><u><i>Overview.</i></u></b></div><div>Quincus Research is building the next generation of intelligent systems for all Quincus products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Quincus Research teams collaborate closely with other teams across Quincus, maintaining the flexibility and versatility required to adapt new projects and focuses that meet the demands of the world's fast-paced business needs.&nbsp;</div><div><br></div><div><b><u><i>Job Overview.&nbsp;</i></u></b></div><div>We are looking for a highly motivated and experienced machine learning engineer to join our team and help us develop and deploy deep learning and reinforcement learning algorithms at scale. As a machine learning engineer, you will be responsible for designing and implementing scalable systems for serving models, optimizing inference performance, and managing production workflows.&nbsp;</div><div><br></div><div><b>Responsibilities:&nbsp;</b></div><div>- Design and implement scalable systems for serving deep learning and reinforcement learning models.</div><div>- Optimize inference performance of deep learning and reinforcement learning models using techniques such as quantization, pruning, and distillation.</div><div>- Utilize GPU computing to accelerate model training and inference.</div><div>- Develop and deploy production workflows for training and serving machine learning models.</div><div>- Collaborate with data scientists and software engineers to design and implement machine learning systems.</div><div>- Monitor and improve the performance of machine learning models in production.</div><div>- Stay up-to-date with the latest research and techniques in deep learning and reinforcement learning.&nbsp;</div><div>&nbsp;</div><div><b>Qualifications:</b></div><div>- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.</div><div>- 3+ years of experience in software engineering or machine learning engineering.</div><div>- Strong programming skills in Python (C++ or Java a plus)</div><div>- Experience with deep learning frameworks such as TensorFlow or PyTorch.</div><div>- Experience with GPU programming using CUDA, OpenCL, or similar libraries.</div><div>- Experience with distributed systems and cloud computing platforms such as Kubernetes, Docker, GCP, and AWS.&nbsp;</div><div><br></div><div><b>Preferred Qualifications:</b>&nbsp;</div><div>- Ph.D. in Computer Science, Electrical Engineering, or a related field.</div><div>- 5+ years of experience in software engineering or machine learning engineering.</div><div>- Experience with reinforcement learning algorithms and frameworks.</div><div>- Experience with production deployment of machine learning models and implementation of APIs for big data.</div><div>- Strong understanding of computer architecture and performance optimization.</div><div>- Strong communication and collaboration skills.&nbsp;</div><div><br></div><div>If you are passionate about developing and deploying machine learning algorithms at scale, and want to join a dynamic team working on cutting-edge technology, we encourage you to apply for this position.</div>","id":"51f562da-f4ed-45f9-a8e2-4c56b02bae13","lists":[],"text":"Machine Learning Engineer","country":"CA","workplaceType":"remote","opening":"","openingPlain":"","descriptionBody":"<div><b>“Make every logistics journey your best one yet”</b></div><div><br></div><div><b><i><u>The Company.</u></i></b></div><div>Founded in 2014, Quincus is a B2B supply chain operating SaaS platform headquartered in&nbsp;Singapore. We solve today's global supply chain challenges with groundbreaking technology. Using AI and machine learning, we have digitized and optimized the logistics process while giving customers full transparency into their supply chain.&nbsp;</div><div>&nbsp;</div><div>Quincus was founded by two visionary entrepreneurs who possess more than a decade of experience in tech. Chief Product Officer&nbsp;Katherina-Olivia Lacey&nbsp;is leading a tech revolution in this space while empowering women in the supply chain industry.&nbsp;Jonathan E. Savoir, Chief Executive Officer, appeared on Forbes' 30 Under 30 Asia List in 2020, and also serves on the boards of several startups.&nbsp;&nbsp;</div><div><br></div><div><b><u><i>Overview.</i></u></b></div><div>Quincus Research is building the next generation of intelligent systems for all Quincus products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Quincus Research teams collaborate closely with other teams across Quincus, maintaining the flexibility and versatility required to adapt new projects and focuses that meet the demands of the world's fast-paced business needs.&nbsp;</div><div><br></div><div><b><u><i>Job Overview.&nbsp;</i></u></b></div><div>We are looking for a highly motivated and experienced machine learning engineer to join our team and help us develop and deploy deep learning and reinforcement learning algorithms at scale. As a machine learning engineer, you will be responsible for designing and implementing scalable systems for serving models, optimizing inference performance, and managing production workflows.&nbsp;</div><div><br></div><div><b>Responsibilities:&nbsp;</b></div><div>- Design and implement scalable systems for serving deep learning and reinforcement learning models.</div><div>- Optimize inference performance of deep learning and reinforcement learning models using techniques such as quantization, pruning, and distillation.</div><div>- Utilize GPU computing to accelerate model training and inference.</div><div>- Develop and deploy production workflows for training and serving machine learning models.</div><div>- Collaborate with data scientists and software engineers to design and implement machine learning systems.</div><div>- Monitor and improve the performance of machine learning models in production.</div><div>- Stay up-to-date with the latest research and techniques in deep learning and reinforcement learning.&nbsp;</div><div>&nbsp;</div><div><b>Qualifications:</b></div><div>- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.</div><div>- 3+ years of experience in software engineering or machine learning engineering.</div><div>- Strong programming skills in Python (C++ or Java a plus)</div><div>- Experience with deep learning frameworks such as TensorFlow or PyTorch.</div><div>- Experience with GPU programming using CUDA, OpenCL, or similar libraries.</div><div>- Experience with distributed systems and cloud computing platforms such as Kubernetes, Docker, GCP, and AWS.&nbsp;</div><div><br></div><div><b>Preferred Qualifications:</b>&nbsp;</div><div>- Ph.D. in Computer Science, Electrical Engineering, or a related field.</div><div>- 5+ years of experience in software engineering or machine learning engineering.</div><div>- Experience with reinforcement learning algorithms and frameworks.</div><div>- Experience with production deployment of machine learning models and implementation of APIs for big data.</div><div>- Strong understanding of computer architecture and performance optimization.</div><div>- Strong communication and collaboration skills.&nbsp;</div><div><br></div><div>If you are passionate about developing and deploying machine learning algorithms at scale, and want to join a dynamic team working on cutting-edge technology, we encourage you to apply for this position.</div>","descriptionBodyPlain":"“Make every logistics journey your best one yet”\n\nThe Company.\nFounded in 2014, Quincus is a B2B supply chain operating SaaS platform headquartered in Singapore. We solve today's global supply chain challenges with groundbreaking technology. Using AI and machine learning, we have digitized and optimized the logistics process while giving customers full transparency into their supply chain. \n \nQuincus was founded by two visionary entrepreneurs who possess more than a decade of experience in tech. Chief Product Officer Katherina-Olivia Lacey is leading a tech revolution in this space while empowering women in the supply chain industry. Jonathan E. Savoir, Chief Executive Officer, appeared on Forbes' 30 Under 30 Asia List in 2020, and also serves on the boards of several startups.  \n\nOverview.\nQuincus Research is building the next generation of intelligent systems for all Quincus products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Quincus Research teams collaborate closely with other teams across Quincus, maintaining the flexibility and versatility required to adapt new projects and focuses that meet the demands of the world's fast-paced business needs. \n\nJob Overview. \nWe are looking for a highly motivated and experienced machine learning engineer to join our team and help us develop and deploy deep learning and reinforcement learning algorithms at scale. As a machine learning engineer, you will be responsible for designing and implementing scalable systems for serving models, optimizing inference performance, and managing production workflows. \n\nResponsibilities: \n- Design and implement scalable systems for serving deep learning and reinforcement learning models.\n- Optimize inference performance of deep learning and reinforcement learning models using techniques such as quantization, pruning, and distillation.\n- Utilize GPU computing to accelerate model training and inference.\n- Develop and deploy production workflows for training and serving machine learning models.\n- Collaborate with data scientists and software engineers to design and implement machine learning systems.\n- Monitor and improve the performance of machine learning models in production.\n- Stay up-to-date with the latest research and techniques in deep learning and reinforcement learning. \n \nQualifications:\n- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.\n- 3+ years of experience in software engineering or machine learning engineering.\n- Strong programming skills in Python (C++ or Java a plus)\n- Experience with deep learning frameworks such as TensorFlow or PyTorch.\n- Experience with GPU programming using CUDA, OpenCL, or similar libraries.\n- Experience with distributed systems and cloud computing platforms such as Kubernetes, Docker, GCP, and AWS. \n\nPreferred Qualifications: \n- Ph.D. in Computer Science, Electrical Engineering, or a related field.\n- 5+ years of experience in software engineering or machine learning engineering.\n- Experience with reinforcement learning algorithms and frameworks.\n- Experience with production deployment of machine learning models and implementation of APIs for big data.\n- Strong understanding of computer architecture and performance optimization.\n- Strong communication and collaboration skills. \n\nIf you are passionate about developing and deploying machine learning algorithms at scale, and want to join a dynamic team working on cutting-edge technology, we encourage you to apply for this position.\n","hostedUrl":"https://jobs.lever.co/quincus/51f562da-f4ed-45f9-a8e2-4c56b02bae13","applyUrl":"https://jobs.lever.co/quincus/51f562da-f4ed-45f9-a8e2-4c56b02bae13/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full time","department":"Engineering","location":"Singapore, Singapore","team":"Back End","allLocations":["Singapore, Singapore"]},"createdAt":1681691877972,"descriptionPlain":"“Make every logistics journey your best one yet” - Quincus \n \n\nThe Company.\nFounded in 2014, Quincus is a B2B supply chain operating SaaS platform headquartered in Singapore. We solve today's global supply chain challenges with groundbreaking technology. Using AI and machine learning, we have digitized and optimized the logistics process while giving customers full transparency into their supply chain.\n\nQuincus was founded by two visionary entrepreneurs who possess more than a decade of experience in tech. Chief Product Officer Katherina-Olivia Lacey is leading a tech revolution in this space while empowering women in the supply chain industry. Jonathan E. Savoir, Chief Executive Officer, appeared on Forbes' 30 Under 30 Asia List in 2020, and also serves on the boards of several startups.\n\nThe Opportunity.\nAs our business continues to grow, we are looking for a Senior Java Engineer to join our team and take our product to the next level. The Engineer will be responsible for many duties throughout the development lifecycle of applications, from concept and design right through to testing. \n\nYour day to day.\n· Responsible for designing, developing, and maintaining code that meets requirements provided by the product team\n· Write integration tests for API endpoints\n· Work with AWS cloud components to develop and optimize Java based web applications;\n· Recommend solution architecture by comparing advantages and disadvantages of custom development and other alternatives\n\nWho you are.\n· 7+ years of relevant professional experience in software development and deployment lifecycle\n· Strong knowledge of core Java 8+, Java Spring Boot, Postgres DB\n· Strong knowledge of working on event driven systems(RabbitMQ etc). Kafka knowledge preferred\n· Hands on experience of writing unit test cases and spring integration test cases\n· Hands on experience in REST API implementation and versioning APIs\n· Strong knowledge of GitOps; Trunk Based Development knowledge preferred\n· Ability to use version control systems; Bitbucket preferred\n· Experience collaborating in a multi-national, distributed and cross-functional team environment\n· Strong team player who is open to giving and receiving feedback\n· Ability to work independently without instructions on most tasks, but knows when to ask for help\n· Comfortable working in an agile environment and have working experience with agile/scrum\n· Experience with service-to-service API integration\n\nGreat to have.\n· Experience of AWS, Kubernetes and CI/CD technologies\n· Experience building large-scale distributed platforms\n\nWhat’s in it for you.\nPeople: Work with passionate, smart, driven and entrepreneurial go-getters.\nWorld-Class Technology: A highly valued solution, used by some of the most critical businesses in the logistic industry.\nGrowth: Opportunities to develop yourself and your career are limited only by how far you are ready to push yourself.\n","description":"<div><i><b>“Make every logistics journey your best one yet” -&nbsp;Quincus&nbsp;</b></i></div><div><b>&nbsp;</b></div><div><br></div><div><b><i><u>The Company.</u></i></b></div><div>Founded in 2014, Quincus is a B2B supply chain operating SaaS platform headquartered in&nbsp;Singapore. We solve today's global supply chain challenges with groundbreaking technology. Using AI and machine learning, we have digitized and optimized the logistics process while giving customers full transparency into their supply chain.</div><div><br></div><div>Quincus was founded by two visionary entrepreneurs who possess more than a decade of experience in tech. Chief Product Officer&nbsp;Katherina-Olivia Lacey&nbsp;is leading a tech revolution in this space while empowering women in the supply chain industry.&nbsp;Jonathan E. Savoir, Chief Executive Officer, appeared on Forbes' 30 Under 30 Asia List in 2020, and also serves on the boards of several startups.</div><div><br></div><div><b><i><u>The Opportunity.</u></i></b></div><div>As our business continues to grow, we are looking for a&nbsp;Senior Java Engineer&nbsp;to join our team and take our product to the next level.&nbsp;The Engineer will be responsible for many duties throughout the development lifecycle of applications, from concept and design right through to testing.&nbsp;</div><div><br></div><div><u><i><b>Your day to day.</b></i></u></div><div>· Responsible for designing, developing, and maintaining code that meets requirements provided by the product team</div><div>· Write integration tests for API endpoints</div><div>· Work with AWS cloud components to develop and optimize Java based web applications;</div><div>· Recommend solution architecture by comparing advantages and disadvantages of custom development and other alternatives</div><div><br></div><div><u><i><b>Who you are.</b></i></u></div><div>· 7+ years of relevant professional experience in software development and deployment lifecycle</div><div>· Strong knowledge of core Java 8+, Java Spring Boot, Postgres DB</div><div>· Strong knowledge of working on event driven systems(RabbitMQ etc). Kafka knowledge preferred</div><div>· Hands on experience of writing unit test cases and spring integration test cases</div><div>· Hands on experience in REST API implementation and versioning APIs</div><div>· Strong knowledge of GitOps; Trunk Based Development knowledge preferred</div><div>· Ability to use version control systems; Bitbucket preferred</div><div>· Experience collaborating in a multi-national, distributed and cross-functional team environment</div><div>· Strong team player who is open to giving and receiving feedback</div><div>· Ability to work independently without instructions on most tasks, but knows when to ask for help</div><div>· Comfortable working in an agile environment and have working experience with agile/scrum</div><div>· Experience with service-to-service API integration</div><div><br></div><div><u><i><b>Great to have.</b></i></u></div><div>· Experience of AWS, Kubernetes and CI/CD technologies</div><div>· Experience building large-scale distributed platforms</div><div><br></div><div><b><i><u>What’s in it for you.</u></i></b></div><div><u>People:</u> Work with passionate, smart, driven and entrepreneurial go-getters.</div><div><u>World-Class Technology:</u> A highly valued solution, used by some of the most critical businesses in the logistic industry.</div><div><u>Growth:</u> Opportunities to develop yourself and your career are limited only by how far you are ready to push yourself.</div>","id":"2a77040d-33dd-4565-bcd4-a48fb5e0bfc2","lists":[],"text":"Senior Java Engineer","country":"SG","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"<div><i><b>“Make every logistics journey your best one yet” -&nbsp;Quincus&nbsp;</b></i></div><div><b>&nbsp;</b></div><div><br></div><div><b><i><u>The Company.</u></i></b></div><div>Founded in 2014, Quincus is a B2B supply chain operating SaaS platform headquartered in&nbsp;Singapore. We solve today's global supply chain challenges with groundbreaking technology. Using AI and machine learning, we have digitized and optimized the logistics process while giving customers full transparency into their supply chain.</div><div><br></div><div>Quincus was founded by two visionary entrepreneurs who possess more than a decade of experience in tech. Chief Product Officer&nbsp;Katherina-Olivia Lacey&nbsp;is leading a tech revolution in this space while empowering women in the supply chain industry.&nbsp;Jonathan E. Savoir, Chief Executive Officer, appeared on Forbes' 30 Under 30 Asia List in 2020, and also serves on the boards of several startups.</div><div><br></div><div><b><i><u>The Opportunity.</u></i></b></div><div>As our business continues to grow, we are looking for a&nbsp;Senior Java Engineer&nbsp;to join our team and take our product to the next level.&nbsp;The Engineer will be responsible for many duties throughout the development lifecycle of applications, from concept and design right through to testing.&nbsp;</div><div><br></div><div><u><i><b>Your day to day.</b></i></u></div><div>· Responsible for designing, developing, and maintaining code that meets requirements provided by the product team</div><div>· Write integration tests for API endpoints</div><div>· Work with AWS cloud components to develop and optimize Java based web applications;</div><div>· Recommend solution architecture by comparing advantages and disadvantages of custom development and other alternatives</div><div><br></div><div><u><i><b>Who you are.</b></i></u></div><div>· 7+ years of relevant professional experience in software development and deployment lifecycle</div><div>· Strong knowledge of core Java 8+, Java Spring Boot, Postgres DB</div><div>· Strong knowledge of working on event driven systems(RabbitMQ etc). Kafka knowledge preferred</div><div>· Hands on experience of writing unit test cases and spring integration test cases</div><div>· Hands on experience in REST API implementation and versioning APIs</div><div>· Strong knowledge of GitOps; Trunk Based Development knowledge preferred</div><div>· Ability to use version control systems; Bitbucket preferred</div><div>· Experience collaborating in a multi-national, distributed and cross-functional team environment</div><div>· Strong team player who is open to giving and receiving feedback</div><div>· Ability to work independently without instructions on most tasks, but knows when to ask for help</div><div>· Comfortable working in an agile environment and have working experience with agile/scrum</div><div>· Experience with service-to-service API integration</div><div><br></div><div><u><i><b>Great to have.</b></i></u></div><div>· Experience of AWS, Kubernetes and CI/CD technologies</div><div>· Experience building large-scale distributed platforms</div><div><br></div><div><b><i><u>What’s in it for you.</u></i></b></div><div><u>People:</u> Work with passionate, smart, driven and entrepreneurial go-getters.</div><div><u>World-Class Technology:</u> A highly valued solution, used by some of the most critical businesses in the logistic industry.</div><div><u>Growth:</u> Opportunities to develop yourself and your career are limited only by how far you are ready to push yourself.</div>","descriptionBodyPlain":"“Make every logistics journey your best one yet” - Quincus \n \n\nThe Company.\nFounded in 2014, Quincus is a B2B supply chain operating SaaS platform headquartered in Singapore. We solve today's global supply chain challenges with groundbreaking technology. Using AI and machine learning, we have digitized and optimized the logistics process while giving customers full transparency into their supply chain.\n\nQuincus was founded by two visionary entrepreneurs who possess more than a decade of experience in tech. Chief Product Officer Katherina-Olivia Lacey is leading a tech revolution in this space while empowering women in the supply chain industry. Jonathan E. Savoir, Chief Executive Officer, appeared on Forbes' 30 Under 30 Asia List in 2020, and also serves on the boards of several startups.\n\nThe Opportunity.\nAs our business continues to grow, we are looking for a Senior Java Engineer to join our team and take our product to the next level. The Engineer will be responsible for many duties throughout the development lifecycle of applications, from concept and design right through to testing. \n\nYour day to day.\n· Responsible for designing, developing, and maintaining code that meets requirements provided by the product team\n· Write integration tests for API endpoints\n· Work with AWS cloud components to develop and optimize Java based web applications;\n· Recommend solution architecture by comparing advantages and disadvantages of custom development and other alternatives\n\nWho you are.\n· 7+ years of relevant professional experience in software development and deployment lifecycle\n· Strong knowledge of core Java 8+, Java Spring Boot, Postgres DB\n· Strong knowledge of working on event driven systems(RabbitMQ etc). Kafka knowledge preferred\n· Hands on experience of writing unit test cases and spring integration test cases\n· Hands on experience in REST API implementation and versioning APIs\n· Strong knowledge of GitOps; Trunk Based Development knowledge preferred\n· Ability to use version control systems; Bitbucket preferred\n· Experience collaborating in a multi-national, distributed and cross-functional team environment\n· Strong team player who is open to giving and receiving feedback\n· Ability to work independently without instructions on most tasks, but knows when to ask for help\n· Comfortable working in an agile environment and have working experience with agile/scrum\n· Experience with service-to-service API integration\n\nGreat to have.\n· Experience of AWS, Kubernetes and CI/CD technologies\n· Experience building large-scale distributed platforms\n\nWhat’s in it for you.\nPeople: Work with passionate, smart, driven and entrepreneurial go-getters.\nWorld-Class Technology: A highly valued solution, used by some of the most critical businesses in the logistic industry.\nGrowth: Opportunities to develop yourself and your career are limited only by how far you are ready to push yourself.\n","hostedUrl":"https://jobs.lever.co/quincus/2a77040d-33dd-4565-bcd4-a48fb5e0bfc2","applyUrl":"https://jobs.lever.co/quincus/2a77040d-33dd-4565-bcd4-a48fb5e0bfc2/apply"}]