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Easygo Remote
Engineering@Easygo Easygo leads the world in crafting top-tier entertainment experiences. Within our engineering organisation, we foster a continuous learning environment, constantly pushing the boundaries of large-scale software design and development. Our culture revolves around fostering growth, nurturing learning, and upholding excellence in engineering, ensuring we consistently set the benchmark for engineering mastery. Why join us? Are you a passionate and ambitious software engineer ready to dive into an environment that fosters innovation, continuous learning, and professional growth? We're seeking talented individuals who are eager to tackle complex problems, build scalable solutions, and collaborate with some of the finest engineers in the entertainment industry. Complex Projects, Creative Solutions: Dive into intricate projects that challenge and push boundaries. Solve complex technical puzzles and craft scalable solutions. Accelerate Your Growth: A

Engineering@Easygo Easygo leads the world in crafting top-tier entertainment experiences. Within our engineering organisation, we foster a continuous learning environment, constantly pushing the boundaries of large-scale software design and development. Our culture revolves around fostering growth, nurturing learning, and upholding excellence in engineering, ensuring we consistently set the benchmark for engineering mastery. Why join us? Are you a passionate and ambitious software engineer ready to dive into an environment that fosters innovation, continuous learning, and professional growth? We're seeking talented individuals who are eager to tackle complex problems, build scalable solutions, and collaborate with some of the finest engineers in the entertainment industry.

Complex Projects, Creative Solutions: Dive into intricate projects that challenge and push boundaries. Solve complex technical puzzles and craft scalable solutions. Accelerate Your Growth: Access mentorship, training, and hands-on experiences to level up your skills. Learn from industry experts and gain expertise in scaling software. Collaborate with Industry Leaders: Work alongside exceptional engineers, exchanging ideas and driving innovation forward through collaboration. Caring Culture, Career Development: We deeply care about your career. Our culture prioritises your growth with tailored learning programs and mentorship. Embrace Challenges, Celebrate Success: Take on challenges, learn from failures, and celebrate achievements together. Shape the Future: Your contributions will shape the future of entertainment.

If you're passionate about growth, innovation, and working with the best, we'd love to have you on our team! Key Responsibilities:

Actively engage in hands-on coding, testing, debugging, and troubleshooting to ensure code quality, scalability, and maintainability. Write efficient, scalable, and maintainable code, adhering to coding standards and best practices. Lead technical discussions and propose solutions that drive team performance and contribute to team and company OKRs. Innovate within the team by pushing for improvements and driving constructive changes to enhance team performance and efficiency. Analyse complex problems and provide effective solutions, contributing to team goals and initiatives. Lead and independently complete medium-sized projects or components from start to finish. Identify opportunities for improvement and take initiative in technical discussions. Share knowledge and best practices with the team, fostering a collaborative and learning-oriented environment. Mentor junior engineers by providing guidance and constructive feedback to support their growth. Collaborate with stakeholders, product managers, and engineering teams to effectively communicate technical concepts.

Minimum Qualifications: 

Bachelor's/Master's degree in Computer Science or equivalent practical experience. 4+ years of hands-on experience in software engineering, with a primary focus on Backend development. Experience with Node.js, GraphQL, Docker, Cloud services (e.g., AWS, Azure, Google Cloud) and related technologies. Experience with Database technologies such as PostgreSQL, MySQL, Elasticsearch for data storage and management. Experience with Messaging systems such as Nats, Kafka, RabbitMQ, SQS, etc.. Experience with Monitoring and logging tools (e.g., Datadog) Strong understanding of code architecture and design principles. Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment. Strong communication skills for effective collaboration with teams and stakeholders. Analytical mindset to address complex technical challenges and devise innovative solutions. Positive attitude and eagerness to learn new technologies to grow as a full-stack engineer.

Preferred Qualifications:

Experience with Svelte + SvelteKit or other server-side rendering frameworks (e.g. React + NextJS, Vue + Nuxt, Quasar, etc) Proficiency in JavaScript fundamentals, Design Patterns, Subscriptions (WebSockets, Pub/Sub), TypeScript, GraphQL, Storybook and related technologies. Experience with CI/CD tools (e.g., AWS Code Pipeline, Github Actions) for automating the deployment process.

Some of the perks of joining us:

Championing the Engineering Excellence to influence cultural change across the organisation. Working alongside our team of Full-Stack Engineers in a cloud native tech stack including AWS, Microservices, Large-Scale Distributed Systems, K8's, Go, Terraform, Typescript, Svelte, GraphQL, Nodejs and React. Exposure to building global, large-scale volume products which operate at thousands per second frequency. EAP access for you and your family Access to over 9,000 courses across our Learning and Development Platform  Paid volunteer day Two full-time barista’s who will make your daily coffee, tea or fresh juice! Daily catered breakfast Massage Wednesdays - we get professionals to do this! Team lunches and happy hour in the office from 4pm on Fridays Fun office environment with pool tables, table tennis and all your favourite gaming consoles Help yourself drinks fridges and snack shelves

We believe that the unique contributions of everyone at Easygo are the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. We are passionate about providing a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.

Apply Now:

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Whatnot CA San Francisco, California, United States
🚀 Whatnot Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote-first team, we operate out of hubs within the US, Canada, UK, Ireland, and Germany today. We’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others. And, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas. 💻 Role We are looking for intellectually curious, highly motivated individuals to be

🚀 Whatnot

Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote-first team, we operate out of hubs within the US, Canada, UK, Ireland, and Germany today.

We’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.

And, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas.

💻 Role

We are looking for intellectually curious, highly motivated individuals to become foundational members of our Core Machine Learning team. You will help drive the development of Whatnot’s machine learning operations and work with machine learning engineers across the company to build scalable design patterns that can be repeatedly used to achieve key business goals. Our ideal candidate has experience in spinning up ML platforms e.g. real-time model serving, approximate nearest neighbor retrieval, high-concurrency and low-latency scaling, feature stores, and model lifecycle monitoring. They are also willing and able to flex into an applied research role to develop models that leverage their own components.

What you'll do:

  • Drive the development of the machine learning platform roadmap, staying abreast of emerging business needs that the machine learning platform can help address.
  • Enhance our machine learning infrastructure--increase reliability, reduce latency, and continually improve the developer experience.
  • Develop scalable machine learning design patterns that make it easy for machine learning scientists and engineers to safely deploy models to production.
  • Improve model training, management, and monitoring
  • Take a leading role in deploying ML models on business critical surfaces & flows.
  • Define and advance our technical approach to scalable machine learning.
  • Flex outside your comfort zone to help take on new challenges that emerge

👋 You

Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here.

As our next Software Engineer, Machine Learning you should have 5+ years of experience, plus:

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience.
  • 2+ years of professional experience setting up machine learning platforms–model serving, features stores, model registries, training pipelines, etc.
  • 1+ years of professional experience developing software in Python
  • Software engineering experience with a track record of applying practical methods to solve real-world problems on consumer scale data.
  • Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams.
  • Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis.
  • Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana
  • Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink, Spark.
  • Professionalism around collaborating in a remote working environment and well tested, reproducible work.
  • Exceptional documentation and communication skills.
  • Experience in applied statistical and machine learning fields e.g. Recommendations, Search, Fraud & Anomaly Detection, Experimentation and Causal Analysis preferred.

💰Compensation

For US-based applicants: $205,000 - $275,000/year + benefits + stock options

The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options.

🎁 Benefits

  • Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
  • Health Insurance options including Medical, Dental, Vision
  • Work From Home Support
    • $1,000 home office setup allowance
    • $150 monthly allowance for cell phone and internet

  • Care benefits
    • $450 monthly allowance on food
    • $500 monthly allowance for wellness
    • $5,000 annual allowance towards Childcare
    • $20,000 lifetime benefit for family planning, such as adoption or fertility expenses
  • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  • Parental Leave
    • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.

💛 EOE

Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Apply Now:

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