At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets. We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record-like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support. Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid. Backed by Sequoia Capital , Multicoin Capital , and The Chainsmokers , Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build. We are hiring a Staff Machine Learning Engineer, Risk! As our Staff Machine Learning Engineer, Risk, you'll lead the evolution of our ML platform for payment risk, building the production-grade capabilities behind feature engineering, model training, deployment, monitoring, and continuous improvement. Risk decisions sit at the center of our business, and you'll own how those models get built, shipped, and kept healthy. This role reports to the CTO. You'll work closely with Risk, Software Engineering, and Data Engineering, and you'll be the senior technical voice for ML on the risk team. We're looking for someone who thrives in fast-moving environments, wants meaningful ownership, and is excited to build rather than simply maintain. What You'll Do Design and build ML infrastructure for payment risk detection, using Databricks as the core platform, in close partnership with software and data engineers. Bring structure to the team's ML environment: feature pipelines, versioning, job orchestration, and monitoring. Design and productionize models rather than just prototype them, including
Senior Software Engineer (Data Platform)
Salary not disclosed
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Role overview
Job description
Senior Software Engineer - Full Stack
Join Illumina’s Software team within R&D and play a lead role in the design and development of cutting-edge next generation data and analysis platforms to unlock the power of the genome – to transform healthcare and beyond.
As a Senior Software Engineer, you will be part of an innovative, dynamic, and adaptive organization supporting new and on-market cloud-based products that streamline the generation, analysis, aggregation, and extraction of insights from data.
Responsibilities:
- Be responsible for software development for new product initiatives and features
- Participate in all phases of software development from architecture/design through implementation, testing and deployment
- Actively look for ways to improve the customer experience and codebase
- Develop software components that meet standards of quality and architecture, including the documentation and implementation of unit tests, scripts, and test harnesses
- Writing clean, performant, and well-tested code
- Work in an Agile/Scrum environment to deliver high quality software.
Key Qualifications:
- Bachelor’s or master’s degree in Computer Science or equivalent
- At least 5 years of experience in designing, implementing, and supporting highly scalable applications
- Full Stack Developers who are proficient in both frontend and backend coding
- Excellent Java development and debugging skills
- Experience with front end technologies and/or front-end frameworks (Angular, React)
- Deep understanding of data architecture and Object-Oriented Programming skill sets
- Strong problem solving and troubleshooting skills
- Experience with distributed storage and database systems (SQL or NoSQL)
- Proficient in building highly scalable real time services based on REST
- Demonstrated experience working collaboratively in cross-functional teams
- Excellent written and verbal communication and presentation skills, for both technical and non-technical audience
Nice to have:
- Experience or Familiar with Kubernetes, cloud infrastructure (AWS/GCP), and CI/CD pipelines
- Demonstrated willingness to teach others and learn new techniques.
- Interest in human biology and genetics
We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact [email protected]. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.
What they are looking for
Skills & requirements
Qualification
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws; The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants
Hiring company
Illumina
Illumina sequencing and array technologies drive advances in life science research, translational and consumer genomics, and molecular diagnostics.
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