Qureos Mentor

Sezzle

<div>The salary range for this role is $50,000 - $120,000 per year (Gross in USD)

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We're not just transforming payments; we're redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we're building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you're excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You'll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:
<ul>
<li>Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.</li>
<li>Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.</li>
<li>Develop Monitoring &amp; Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.</li>
<li>Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.</li>
<li>Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.</li>
<li>Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.</li>
<li>Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.</li>
<li>Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.</li>
</ul><h3 class="jobSectionHeader">What We Look For:</h3>
<ul><li>Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.</li>
<li>Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication. 
</li>
<li>At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications:</h3>
<ul><li>Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.</li>
<li>Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.</li>
<li>Proficiency with Python is required, and experience with Golang is a plus.</li>
<li>Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.</li>
<li>Experience working with relational databases, data warehouses, and using SQL to explore them.</li>
<li>Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.</li>
<li>Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.</li>
<li>Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.</li>
<li>Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.</li>
</ul>
About You:
<ul>
<li>You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.</li>
<li>You're not bound by convention - your success&mdash;and much of the fun&mdash;lies in developing new ways to do things</li>
<li>You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.</li>
<li>You earn trust - you listen attentively, speak candidly, and treat others respectfully.</li>
<li>You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.</li>
<li>You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.</li>
</ul>
What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time</div>

Sr. AI engineer (Remote)

<div>The salary range for this role is $3,000 - $6,000 per month per month (Gross in USD)

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We're not just transforming payments; we're redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we're building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you're excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

Compensation:

For this senior development role, with 3+ years of experience, the compensation range is $3,000 - $6,000 per month USD per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience. 
 
Working Hours:

This role operates on a fixed schedule of 6:00 AM to 2:00 PM EST. While the position is based in India, the team operates primarily in the United States, supporting Sezzle's operations across the U.S. and Canada. Candidates must be available to consistently work during these EST hours.

About the Role:

We are seeking a talented and motivated best-in-class Senior Site Reliability Engineer. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. 
 
As a Senior SRE with Sezzle, you will have a high degree of autonomy and authority to identify and resolve problems you see in our infrastructure, deployments, operational workload, and overall systems.

You should consider yourself a DOer to be a good fit for this role. We expect you to bring a deep well of experience to play, and with AI tooling, you should be a force for scaling in the organization.

What you'll do:
<ul><li>Architect, upgrade, design, and build scalable infrastructure solutions leveraging Kubernetes, AWS, RDS (MySQL/Postgres), and modern distributed patterns.</li>
<li>Help drive the infrastructure team's roadmap, leading us to higher levels of reliability, recoverability, and scalability.</li>
<li>Drive capacity planning, benchmarking, and work with the team to stress test our systems, find bottlenecks, and prepare for further growth in the business.</li>
<li>Define, maintain and enforce SLAs and alerts across our infrastructure.</li>
<li>Lead the teams towards stronger signal anomaly detection, better, more flexible alerting.</li>
<li>Help Lead Sezzle's AI enablement efforts, identifying opportunities to apply AI and automation to enhance infrastructure reliability, developer productivity, and internal tooling.</li>
<li>Build in consistency and scalability across a distributed microservices architecture while maintaining performance and reliability.</li>
<li>Establish and evolve engineering best practices for observability, security, and CI/CD across teams.</li>
<li>Mentor engineers and champion a culture of learning, innovation, and operational excellence.</li>
<li>Collaborate cross-functionally to translate business goals into technical roadmaps and deliver results that matter.</li>
</ul>
What we look for:
<ul>
<li>3+ years of professional software engineering or infrastructure engineering experience, including significant SRE and backend experience.</li>
<li>Deployed significant changes to a production application or infrastructure configuration in the past 30 days.</li>
<li>Strong proficiency in Golang, with experience building and maintaining RESTful APIs.</li>
<li>Expertise with SQL-based RDBMS (MySQL, PostgreSQL) and experience optimizing schema and queries for performance at scale.</li>
<li>Proficiency in observability tools (Prometheus, Grafana, Datadog, New Relic).</li>
<li>Solid understanding of distributed systems design patterns (e.g., transactional outbox, event-driven architecture and stream processing, queues).</li>
<li>Demonstrated ability to bring new ideas forward, influence decisions, and lead complex technical initiatives.</li>
<li>Bachelor's degree in Computer Science or equivalent practical experience.</li>
</ul>
Preferred Knowledge and Skills:
<ul>
<li>Experience with AWS cloud infrastructure, mainly AWS Aurora RDS, both MySQL and Postgres.</li>
<li>Experience with data engineering, data pipelines and data warehousing.</li>
<li>Experience with CI/CD pipelines and deploying containerized microservices in Kubernetes.</li>
<li>Familiarity with AI developer tooling like Claude Code, Gemini CLI, Codex, Cursor and using it to be a more productive engineer.</li>
<li>Track record of shipping commercial APIs and data-driven applications in high-growth environments.</li>
<li>Proven leadership in guiding technical direction, improving system reliability, and scaling high-traffic services.</li>
</ul>
About You:
<ul>
<li>You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.</li>
<li>You're not bound by convention - your success&mdash;and much of the fun&mdash;lies in developing new ways to do things</li>
<li>You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.</li>
<li>You earn trust - you listen attentively, speak candidly, and treat others respectfully.</li>
<li>You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.</li>
<li>You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.</li>
</ul>
Sezzle's Technology Stack:
<ul>
<li>Languages: Golang, Typescript, Python</li>
<li>Frontend: Typescript - React and React Native</li>
<li>Backend: Golang</li>
<li>Database: MySQL, Postgres, Elasticsearch</li>
<li>DevOps &amp; Cloud: AWS, Kubernetes</li>
<li>Version Control: Git</li>
<li>CI/CD: Gitlab</li>
<li>Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests</li>
<li>Open Source: Sezzle is focused on using open source, and we build what we can before buying!</li>
</ul>
What Makes Working at Sezzle Awesome?

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time</div>

Site Reliability Engineer II

Join Sezzle and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Sezzle

About Company

Sr. AI engineer (Remote)

Site Reliability Engineer II