This job post is closed and the position is probably filled. Please do not apply. Work for Intent Technologies and want to re-open this job? Use the edit link in the email when you posted the job!
We’re Basket (www.trybasket.com) – a fresh and exciting new approach to create, share and follow wishlists for the products and services you love. Basket keeps everything you add organised, up to date, and helps you make better buying decisions in your location anywhere in the world!\n\nTo continue our growth, we’re seeking a **Senior Backend Engineer** who has amazing skills in Python, AWS, and serverless architecture. Put it this way, you’re someone who is super comfy with microservices using serverless principles, crafting tested and well documented GraphQL endpoints, all nicely integrated with AWS services to maintain data integrity, scalability and system security. \n\nOf course, on the team side, you’re someone who shows leadership in your communication, and acts as a positive role model. You are proactive, and continuously looking to improve yourself, help your teammates grow, and make the products you’re working on kickass! This is a big, bold, senior opportunity to join an innovative team where you will be challenged with new learning, and have a significant impact shaping a product we hope will become a global household name.\n\nAs a Senior Backend Engineer, you’ll join us as a remote, full-time contractor. To thrive in this role, you’ll need a track record of writing quality production code, solving complex problems, and working independently with excellent communication. You’ll join a small team of specialist engineers to build scalable and resilient microservices on AWS infrastructure for e-commerce.\n\n## What You'll Do\n\n* Develop scalable and modular microservice applications in **Python 3**\n* Work within our TechStack: AWS, Python3, MongoDB, GitHub, Rest APIs, GraphQL.\n* Test, document and deploy code that ensures the integrity of our services.\n* Add to and update our APIs and documentation.\n* Create, review and optimize database operations in our applications.\n* Analyze and tune application performance with a focus on efficiency throughout using analytics tools such as Lumigo, Sentry and DataDog\n* Work closely with our **DevOps** to research, plan and architect new solutions to solve complex e-commerce challenges using microservice architecture patterns.\n* Implement backend analytics tools and monitor application performance.\n* Be highly organized and to collaborate effectively with remote team members.\n\n## About You\nThe following are essential requirements.\n\n* Fluent in English (writing and speaking).\n* Located in a European time zone with a fast and stable internet connection.\n* Minimum **7+ years** of professional full-time work experience as a backend engineer.\n* Advanced knowledge of Python, using pythonic code.\n* Production experience with **AWS** services in a microservices context: (Lambda, AppSync, API Gateway, S3, SNS, SQS, Cognito, EventBridge).\n* Strong experience with **NoSQL** databases such as MongoDB and DynamoDB\n* Passion and track record of building serverless applications (SLS, SAM, arc.codes or Chalice).\n* Intuitively look for ways to keep code modular, tested, and maintainable.\n* Motivated to work in a flat structure where your knowledge and input have a direct impact on product definition and business success.\n* Keen to learn, share and step outside of your comfort zone.\n* Interest in working on ambitious solutions to e-commerce challenges.\n* A high level of energy and enthusiasm, and obvious excitement about being part of a small but ambitious team.\n\n## Good To Have\nThese are good to have, but not essential for the role\n\n* University degree in computer science.\n* Experience crafting machine learning algorithms.\n* Experience working in a startup environment.\n\n## Our Culture\n\nOur culture is built on respect, collaboration and a drive to shake up the world of shopping. We’re at the beginning of our journey with the opportunity for new team members to lead projects, and shape services that customers interact with daily. Our team members are conscientious, deep thinkers, always striving to be awesome human beings.\n\nWe are an equal opportunity employer and value a diversity of perspectives and backgrounds at our company. We are dedicated to a policy of nondiscrimination in employment on any basis including race, colour, age, sex, religion, disability, or national origin. \n\nPlease mention the word **KUDOS** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMjQ=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n
$80,000 — $110,000/year\n
\n\n#Location\nEurope
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Intent Technologies and want to re-open this job? Use the edit link in the email when you posted the job!
We’re a remote-first startup, seeking an experienced **Backend Engineer** to join us in redefining the way the world shops.\nIn this role, you’ll deploy your expertise and passion for Python, AWS services, and serverless architecture to craft scalable microservices for a wide range of backend functions. This is an exciting, senior opportunity to join an innovative team where you will have a significant impact shaping a product we hope will become a household name.\n## The Opportunity\nWe believe shopping technology needs a make-over and smarter ways to help save, monitor and share the products you love. In 2020 we launched a beta platform to validate our early assumptions. Through careful analytics, retailer relationships and customer testing, we’ve learnt a huge amount about the world of shopping which is fueling our development of an exciting new e-commerce journey.\nAs a Backend Engineer, you’ll join us in a full-time remote capacity with significant autonomy and opportunity for impact. To thrive in this role, you’ll bring a track record writing production-ready code, solving complex problems, and the discipline to work independently with excellent communication. You’ll be working with a small team of specialist engineers to build scalable and resilient microservices on AWS infrastructure for e-commerce.\n## What You'll Do\n* Develop scalable and modular microservice applications in **Python 3**\n* **Work within our TechStack:** AWS, Python3, MongoDB, Atlassian Suite (Jira, Bitbucket), Rest APIs, GraphQL.\n* Test, document and deploy code that ensures the integrity of our services.\n* Add to and update our APIs and their documentation.\n* Create, review and optimize database operations in our applications.\n* Analyze and tune application performance with a focus on efficiency throughout.\n* Work closely with our **DevOps** to research, plan and architect new solutions to solve complex e-commerce challenges using microservice architecture patterns.\n* Implement backend analytics tools and monitor application performance.\n* Be highly organized and to collaborate effectively with remote team members.\n## About You\n* Fluent in English (writing and speaking).\n* Located in a European time zone with a fast and stable internet connection.\n* **7+ years** of professional full-time work experience as a backend engineer.\n* Advanced knowledge of Python 3 and write clean, pythonic code.\n* Production experience with **AWS** services in a microservices context: (Lambda, API Gateway, S3, SNS, SQS, Cognito, EventBridge).\n* Strong experience with **NoSQL** databases such as MongoDB and DynamoDB\n* Passion and track record of building serverless applications (SLS, SAM, arc.codes or Chalice).\n* Intuitively look for ways to keep code modular, tested, and maintainable.\n* Motivated to work in a flat structure where your knowledge and input have a direct impact on product definition and business success.\n* Keen to learn, share and step outside of your comfort zone.\n* Interest in working on ambitious solutions to e-commerce challenges.\n* A high level of energy and enthusiasm and obvious excitement about being part of a small but ambitious team.\n## Good To Have\n* University degree in computer science.\n* Experience with machine learning and computer vision.\n* Experience working in a startup environment.\n## Our Culture\nOur culture is built on respect, collaboration and a drive to shake up the world of shopping. We’re at the beginning of our journey with the opportunity for new team members to lead projects, and shape services that customers interact with daily. Our team members are conscientious, deep thinkers, always striving to be awesome human beings.\nWe are an equal opportunity employer and value a diversity of perspectives and backgrounds at our company. We are dedicated to a policy of nondiscrimination in employment on any basis including race, colour, age, sex, religion, disability, or national origin. \n\nPlease mention the words **MOVIE RELAX YELLOW** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMjQ=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Location\nEurope
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Catch Co and want to re-open this job? Use the edit link in the email when you posted the job!
\nThe data team at The Catch Company is looking to build a business analytics stack that enables smarter and faster business decisions, automated processes, and personalized customer experiences. The Data Engineer role will play a pivotal role in selecting, implementing, and optimizing platforms and technology that enable our high-reaching business goals. As the Data Engineer, you will lead the full life cycle development, implementation, production support, and performance of our data warehouse.\n\nWhat you will do:\n\n\n* Select and implement tools and platforms to enable implementation of statistically based machine learning models to predict user behavior\n\n* Model, structure, and fit data to allow for the use of advanced statistical models, and clean, concise output to the business teams\n\n* Implement new data connections to extract, transform, and load data from new sources into our data warehouse\n\n* Work closely with software engineers to identify new opportunities for data collection, and build the processes to make that data available in our data warehouse\n\n* Identify and build frameworks that allow for the streamlined use of data outputs, to enable improved customer acquisition, improved retention, and improved personalization for our customers\n\n* Collaborate with members of the product and engineering team to discuss, architect, and implement solutions\n\n* Research and surface new ideas and approaches, whether new technologies, tools, framework, open-source code blocks or process improvements for the team.\n\n\n\n\nWhat will make you successful:\n\n\n* Curiosity: Always seeking to understand “why”. Always looking to make things better.\n\n* Optimism: The ability to bounce back quickly when something doesn’t work\n\n\n\n\n\n* Passion: For data - staying abreast of current topics and trends in the data science and machine learning community\n\n* Action: Quickly obtaining a deep technical understanding of new domains.\n\n* Picking out and solving the most important problems as part of a team.\n\n* Strong organizational and time management skills to take projects from beginning-to-end\n\n\n\n\nWhat makes this a special opportunity:\n\n\n* In this role, you'll own building a cutting-edge Business Intelligence stack, with the responsibility to select and implement the technology and platform required to create high-performance, scalable solutions.\n\n* This is an opportunity to help build a critical function for a dynamic early-stage eCommerce startup with tons of momentum (ranked #435 on the 2017 Inc. 500 list of the fastest-growing private companies)\n\n* We place a premium on building a great culture made up of great people\n\n* You will have the opportunity to work with a team of intelligent, inquisitive, and driven peers who are looking to push the boundaries of digital retail, providing the opportunity for to make a huge impact and grow intellectually with peers who will challenge you to constantly improve\n\n* You will work with and learn from experienced leaders who have a track record of building successful companies\n\n* We are based in Chicago’s West Loop, with easy access to all major public transportation systems\n\n\n\n\n You must be eligible to work in the United States. Visa sponsorship is not available.\n\nRequirements\n\n\n* Experience working in data engineering, data architecture, or another similar field\n\n* Extensive experience using SQL\n\n* Experience using the Git source control system to branch, merge, and create pull requests.\n\n* Familiarity with data warehouses such as Redshift or Snowflake\n\n* Familiarity with ETL tools, such as Stitch Data or FiveTran\n\n* Familiarity with business intelligence tools and systems; bonus for experience with Looker\n\n* Experience building end-use analysis and data visualizations a plus\n\n* Experience in coding for the purpose of data analysis and data mining, particularly in languages such as Python / R is a plus\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Engineer, Executive, Git, Python and Ecommerce jobs that are similar:\n\n
$80,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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