Remote AWS + Developer + Testing Jobs

The Role

Salary and compensation

Benefits

💰 401(k)

🌎 Distributed team

⏰ Async

🤓 Vision insurance

🦷 Dental insurance

🚑 Medical insurance

🏖 Unlimited vacation

🏖 Paid time off

💰 401k matching

🏔 Company retreats

🏬 Coworking budget

🖥 Home office budget

💰 Equity compensation

👀 No monitoring system

🚫 No politics at work

🎅 We hire old (and young)

Overview

We are Basket (www.trybasket.com) – a fresh and exciting new approach to save, share and follow the things you love, and the people who love them too. Basket keeps you organised, up to date, and helps you buy better across all shopping categories.

To continue our growth we’re seeking a Senior Backend Engineer located in London or Auckland. With your strong production experience of Python and ETL processes, you’ll play a key role in our data extraction, transformation pipelines, data storage (MongoDB), and data delivery via AWS API Gateway (Rest APIs) and AWS AppSync (GraphQL). You’ll need a deep understanding and experience with serverless AWS (Lamba with EventBridge), and knowledge of the serverless framework (https://www.serverless.com/) would be a significant benefit.

To excel in this role, you’ll learn quickly, think big, and deliver rock-solid results in a fast-paced startup environment. You implicitly know how to balance safe decisions while proactively researching and running code experiments. You’re someone who embraces collaboration and feedback with open arms. You continuously look for ways to grow yourself, help teammates, and opportunities to make the products you work on stronger. This is a chance to join an innovative team where you will be challenged, and have significant input to shape a product we believe will become a global household name. This is an exciting opportunity to join our backend team at a pivotal time in our journey.

This role is development focused, with a small amount of coaching required for junior team members.

How We Work at Basket

At Basket, we work in 2 week development cycles with a clearly defined goal. We’re inspired by companies like Linear where quality work is more important than quantity of features released. We plan each cycle well ahead of time with team discussions, research and workshops to make sure we’re making informed decisions.

Here’s how our typical cycle looks;

• 2 weeks before a cycle we plan and define requirements for features

• 1 week before a cycle we do technical due diligence and write acceptance criteria

• During a cycle we write code using test-driven development, test code to development and staging environments, collaborate with QA, Design and PM team members to ensure features are production ready.

What You'll Do

• Write, improve and maintain serverless functions to accurately transform and load data into efficient and organised MongoDB storage

• Develop and maintain 3rd party data clients to enrich stored data

• Create and update API endpoints for a frontend client using AWS API Gateway (Rest APIs) and AWS AppSync (GraphQL)

• Analyse and tune application performance with a focus on efficiency using analytics tools such as Lumigo, Sentry, Segment and DataDog

• Research and architect solutions using serverless architecture patterns

• Implement and improve analytics and application monitoring performance

• Approach your work using test driven development (TDD) to ensure the integrity of your code and our services

About You

• Native English (this is essential)

• Located in London, UK or Auckland, NZ

• 5+ years full-time work experience as a backend engineer on production services

• Advanced knowledge of Python ^3.10 and/or NodeJS ^15.0.0

• Deep knowledge of webpage parsing, including XPath and Regex

• Excellent experience with MongoDB and DynamoDB

• Production experience with AWS services in a serverless microservices context, such as Lambda, AppSync, API Gateway, S3, SNS, SQS, Cognito, EventBridge

• Lots of energy and enthusiasm about being part of a small, progressive team

Good To Have

• University degree in computer science, or equivalent experience

• Experience working in a VC-backed startup environment

Our Culture

Our 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.

We 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.

Salary and compensation

Benefits

🌎 Distributed team

⏰ Async

🏖 Paid time off

👀 No monitoring system

🚫 No politics at work

🎅 We hire old (and young)

Salary Range

Tokyo 15,030,000 - 21,790,000 JPY per year

Your Job

The Search Machine Learning Platform team builds the end-to-end machine learning platform that supports Indeed’s most mission and performance critical products. The team’s mission is to provide the machine learning platform that leverages Indeed’s massive volume of data and incorporates the latest machine learning trends and technologies to power critical products like job search and recommendation teams. We strive to enable teams across Indeed to match every job seeker with the most relevant jobs. The team also ‘dogfoods’ the platform to serve and iteratively improve machine learning models used in all aspects of the job search experience.

As the Staff Data Scientist for this team, you will partner with your team and lead the machine-learning platform evolution that will serve Indeed for years to come. You will lean on the team’s and your technical expertise to serve Indeed’s unique machine learning challenges. You will partner with both engineers and data scientists on your team, and across Indeed products to this end.

You're someone who wants to see the impact of your work making a difference every day. You understand how to use data to make decisions and how to train others to do so. You find passion in the craft and are constantly seeking improvement and better ways to solve tough problems. You produce the highest quality machine learning solutions and lead others to do the same. You have delivered challenging technical solutions at scale. You are equally happy talking about deep learning and statistical inference, as you are brainstorming about practical experimental design and technology career development. You love being in the mix technically while providing leadership to your teams.

As a Staff Data Scientist on the team, you will:

• Build a highly performant machine learning framework that works in latency critical use cases like search and ranking.
• Incorporate latest data science techniques into our platform to assist better model evaluation and understandability, and serve it to all users
• Partner with jobsearch and recommendations teams to build POC ML models that scale to production, and iterate through offline and online experiments
• Iterate on model architecture and features via A/B testing to improve models used for our jobsearch globally
• Mentor and grow other software engineers, data scientists, and ML engineers across teams
• Break down larger ML initiatives into pieces that deliver incremental business value and lead the team to execute on them
• Represent Indeed at major ML conferences like NeurIPS, ICML, and ICLR 

Who You Are

We are looking for someone who is passionate about designing and building machine learning systems, loves intellectual challenges, is eager to learn, and wants to work with a variety of technologies to “help people get jobs.”

Requirements

• 5+ years of industry experience as a Software Engineer, Data Scientist, or Machine Learning Engineer
• Prior success deploying (impactful) ML solutions to large-scale production systems, while collaborating across teams
• Solid knowledge of data structures and algorithms
• Strong sense of ownership as a technical and product leader
• Excellent communication skills in English, both written and verbal with both technical and business audiences

 We get excited about candidates who

• Have an advanced degree (PhD or MS) or prior research experience in the fields of machine learning, statistics, or computer science
• Have the desire to solve difficult problems at the intersection of machine learning, data engineering, and software engineering
• Have extensive experience and knowledge with cloud technologies (AWS preferred)
• Have search technology experience such as Lucene, Solr and/or Elasticsearch
• Have prior success deploying Recommender Systems / Search Ranking / etc. to large-scale production systems
• Have designed and analyzed A/B tests

Who We Are

We are a rapidly growing and highly-capable Engineering organization building the most popular job site on the planet. With engineering hubs in Seattle, San Francisco, Austin, Tokyo, Singapore, Hyderabad, Dublin, Aberdeen and Vancouver, we are improving people's lives all around the world, one job search at a time.

Our Mission

As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

(*comScore Total Visits, September 2021)

Salary Range Disclaimer

The base salary range represents the low and high end of the Indeed salary range for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), an open Paid Time Off policy, and many region-specific benefits.

Equal Opportunities and Accommodations Statement

Indeed is deeply committed to creating a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, or any other non-merit based or legally protected grounds.
 
Indeed is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please contact Talent Attraction Help at +81 3 4563 2563, or by email at [email protected] at least one week in advance of your interview.

Our Policies and Benefits

View Indeed's Applicant Privacy and Accessibility Policies - https://www.indeed.com/legal/indeed-jobs  

Learn about our global employee perks, programs and benefits - https://benefits.indeed.jobs/ 

Salary and compensation

Benefits

🚑 Medical insurance

🏖 Unlimited vacation

🏖 Paid time off