About Us:

Almond is a B2B fintech company transforming cross-border payments by empowering financial institutions and their customers with the best possible FX rates and near-instant settlements across all corridors globally. With Almond technology, institutions can guarantee fast, affordable, and transparent cross-border transactions. Finally.

With financial institution partnerships across the world, our remote team is growing globally and we’re seeking to add more smart and talented people. This is an amazing opportunity to get in on the ground floor with a team focused on both social impact and a significant market opportunity.

Role Summary:

We’re seeking a Tech Lead dedicated to enhancing the Almond Development Team experience. As a Tech Lead in our Engineering team, you will focus on crafting high-quality and resilient solutions while upholding coding standards, code quality, and best engineering practices. Experience working with cryptocurrency is essential as our projects involve crypto technology.

This role will help develop robust and scalable solutions that integrate with various crypto platforms in order to gather real-time data and analyze market trends. Additionally, you will collaborate closely with other team members to ensure the reliability and accuracy of financial forecasts and projections. This role will cater to a growing international customer base, adeptly conveying technical trade-offs, complexities, and design options while working as part of a remote team spanning the globe.

Responsibilities:

• Develop and review code using Java, Spring, MySQL, PostgreSQL, SQS, and AWS
• Architect, design, and develop projects from end to end
• Guide teams in decision-making regarding architecture, patterns, tools, frameworks, and languages
• Stay current with emerging technologies through active learning and experimentation with new open-source libraries
• Develop a strong understanding of key agile engineering practices to guide teams and contribute to the growth and improvement of our engineering practices, building on our automated testing, continuous integration, and continuous delivery practices
• Collaborate with other engineers to prioritize and ship features
• Partner with Product Managers to scope and estimate new work
• Troubleshoot production environment issues
• Work with systems deployed on AWS cloud

Requirements:

• 6+ years of experience in software development using Java, Spring, and related technologies
• Degree: Bachelor’s degree in Computer Science, Engineering, or a related field
• Proven experience as a Technology Lead or a similar role
• Proficient in MySQL, PostgreSQL, and other database technologies, including NoSQL databases such as DynamoDB or MongoDB
• Experience with AWS services and cloud deployment
• Prior experience working with cryptocurrency and related technologies
• Knowledge of blockchain concepts and protocols
• Experience integrating cryptocurrency payment gateways or wallets
• Understanding of cryptographic principles and security measures in software development
• Familiarity with CI/CD processes and tools
• Strong communication and collaboration skills
• Comfortable working in a remote, globally distributed team

Nice to Haves:

• Knowledge of Frontend Technologies: While primarily backend-focused, having a solid understanding of frontend technologies like React, Angular, or Vue.js can be beneficial.
• Previous Startup Experience: Familiarity with the fast-paced, dynamic environment of startups, where adaptability and quick decision-making are essential.
• Cybersecurity Awareness: Understanding of security best practices, especially in protecting sensitive data and ensuring the security of applications.
• Experience with Legacy System Modernization: Ability to upgrade or integrate legacy systems with modern technologies without disrupting existing services.
• Strong Problem-Solving Skills: Demonstrated ability to tackle complex technical challenges and find efficient, innovative solutions.
• Familiarity with Data Engineering: Understanding of ETL processes, data pipelines, and big data technologies like Hadoop, Spark, or Kafka.

Salary Range:

• Starting at USD$90k/year. (Rate will depend on country/region)

Benefits:

• Unlimited PTO
• Stock Options
• Remote Work Environment
• Company off-sites

Equal Opportunity Employer:

Almond is an equal opportunity employer. We are committed to providing equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, age, national origin, disability, veteran status, or any other legally protected characteristic. We celebrate diversity and strive to create an inclusive environment for all employees.

Apply now to be part of our dynamic and forward-thinking organization to: email.

🚀 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: