Early Warning Services delivers innovative payment and risk solutions to financial institutions nationwide, powering solutions like Zelle® and Paze℠.

Early Warning Services is a trusted name in payments, powering solutions like Zelle® and Paze℠ while protecting the U.S. financial system for over thirty years. They're seeking a Director of Machine Learning Operations Engineering to lead their ML infrastructure and operations team.

This senior leadership role combines technical expertise with team management, requiring 12+ years of experience in ML Engineering or MLOps. The position offers competitive compensation ranging from $190,000 to $250,000 depending on location, with higher ranges for San Francisco and New York City offices.

The role involves leading a team of ML Ops Engineers while architecting and maintaining the company's machine learning infrastructure. Key responsibilities include developing strategic direction for ML Ops, optimizing model deployment processes, and ensuring robust monitoring systems. The ideal candidate will have expert-level Python skills, deep AWS experience, and proven experience with containerization technologies.

The position offers an attractive benefits package including unlimited PTO for exempt employees, comprehensive healthcare coverage, 100% 401(k) match on the first 6%, and 12 weeks of paid parental leave. The company follows a hybrid work model in their office locations, promoting a collaborative environment while maintaining flexibility.

Early Warning Services serves approximately 2,500 financial institutions and government entities, making this an opportunity to impact financial technology at scale. The role combines technical leadership with strategic planning, requiring someone who can both manage teams and maintain technical excellence in a fast-paced fintech environment.

Lead ML Operations Engineering role at Early Warning Services, managing team and infrastructure for financial technology solutions. 12+ years experience required, $190K-$250K salary range.

Director, Machine Learning Operations Engineering

Early Warning Services delivers innovative payment and risk solutions to financial institutions nationwide, powering solutions like Zelle and Paze.

Early Warning Services is a trusted name in payments technology, powering critical solutions like Zelle® and Paze℠ that serve thousands of financial institutions. As a Sr. Software Engineer - Java, Full Stack, you'll join a dynamic engineering team working on large-scale challenges that impact millions of users across America's biggest banks.

The role offers an exciting opportunity to work with modern technologies including Java, Spring Boot, Kubernetes, and Kafka in a FinTech environment. You'll be responsible for developing and maintaining complex software applications, participating in architectural discussions, and implementing critical features that enhance Early Warning's core product offerings.

The position offers competitive compensation ranging from $125,000 to $190,000 depending on location (higher ranges for NY and SF), plus comprehensive benefits including unlimited PTO for exempt employees, 100% 401k match on the first 6%, and extensive healthcare coverage. The company follows a hybrid work model in their major office locations, promoting a collaborative environment while maintaining flexibility.

This is an excellent opportunity for experienced engineers who want to make a significant impact in the financial technology sector while working with cutting-edge technologies and contributing to products used by hundreds of millions of consumers and small businesses. The role offers both technical challenges and growth opportunities in a stable, established company with over thirty years of experience in the financial sector.

Senior Software Engineer position at Early Warning Services, working on financial technology solutions like Zelle using Java, Spring Boot, and modern cloud technologies.

Sr. Software Engineer - Java, Full Stack

Early Warning Services, a trusted name in payments with over thirty years of experience, is seeking a Senior Software Engineer specializing in Data & Analytics for their Paze platform. This role offers an exciting opportunity to work with cutting-edge payment solutions that power and protect the U.S. financial system. The position involves developing sophisticated data engineering solutions, working with both batch and stream processing, and implementing advanced analytics using BI and ML tools.

The role requires expertise in cloud infrastructure, modern engineering practices, and data warehouse technologies. You'll be working in a collaborative environment, partnering with product managers, designers, and other engineering teams to build and maintain robust data solutions. The company offers a hybrid work model in their various locations (Scottsdale, Chicago, or New York), promoting a balance between remote work and in-person collaboration.

The compensation package is highly competitive, ranging from $120,000 to $160,000 depending on location, plus additional benefits including unlimited PTO for exempt employees, comprehensive healthcare coverage, and a generous 401(k) match. The company has a strong commitment to work-life balance and professional development.

This position is ideal for experienced engineers who are passionate about working with large-scale data systems in the fintech space. You'll be part of a team that directly impacts the financial services industry, working on solutions used by thousands of institutions and millions of consumers. The role offers significant growth potential and the opportunity to work with modern technologies while contributing to critical financial infrastructure.

Senior Software Engineer position at Early Warning Services focusing on Data & Analytics for the Paze platform, offering competitive salary and comprehensive benefits.

Sr. Software Engineer - Data & Analytics - Paze

A trusted name in payments that powers and protects the U.S. financial system with solutions like Zelle® and Paze℠, partnering with financial institutions.

Early Warning Services, a leading financial technology company known for products like Zelle® and Paze℠, is seeking a Director of Machine Learning Operations Engineering to lead their ML infrastructure and operations team. This senior-level position offers a competitive salary range of $190,000-$250,000 depending on location, with comprehensive benefits including unlimited PTO for exempt employees.

The role requires a seasoned professional with 12+ years of experience in ML Engineering or ML Ops, combining technical expertise with leadership capabilities. You'll be responsible for leading a team of ML Ops Engineers while developing and implementing strategic direction for the company's ML infrastructure. The position involves designing and maintaining scalable ML pipelines, optimizing deployment processes, and ensuring robust monitoring systems for model performance.

The ideal candidate will possess expert-level Python programming skills, deep AWS experience, and proficiency with modern ML tools and containerization technologies. You'll work in a hybrid environment across multiple office locations (Scottsdale, San Francisco, Chicago, or New York), collaborating with data scientists and software engineers to streamline the ML lifecycle from development to production.

Early Warning Services offers an excellent benefits package including comprehensive healthcare, 401(k) with 100% company match up to 6%, unlimited PTO for exempt employees, and 12 weeks of paid parental leave. The company's focus on financial technology and its crucial role in the U.S. financial system makes this an exciting opportunity for someone looking to make a significant impact in the fintech sector.

This role represents a unique opportunity to lead ML operations at a company that processes hundreds of millions of transactions and protects the U.S. financial system. You'll be at the forefront of implementing cutting-edge ML solutions while building and mentoring a team of technical professionals. The position offers both technical challenges and leadership opportunities, making it ideal for an experienced ML professional ready to take on a strategic role.

Lead ML Operations Engineering role at Early Warning Services, focusing on building and maintaining scalable ML infrastructure and leading a team of ML Ops Engineers.

Early Warning Services, a trusted name in payments for over thirty years, is seeking a Senior Software Engineer in Test (SDET) to join their engineering team. The company powers critical financial solutions like Zelle® and Paze℠, serving thousands of institutions and protecting transactions for hundreds of millions of consumers and small businesses.

The role offers an exciting opportunity to work on large-scale challenges in a predominantly Java environment, focusing on implementing enterprise test automation strategies and methodology. As an SDET, you'll be integral to the company's continuous integration and delivery efforts, working with various platforms and products that power core capabilities at America's biggest banks.

The position requires a strong background in test automation, with expertise in programming languages like Java (preferred), Ruby, or Node.js. You'll be responsible for developing and maintaining automated testing frameworks, ensuring system quality, and mentoring team members. The role offers competitive compensation ($115,000-$150,000 depending on location) and comprehensive benefits including unlimited PTO for exempt employees, 401(k) matching, and extensive healthcare coverage.

Working in a hybrid model from either Scottsdale, San Francisco, Chicago, or New York, you'll collaborate with cross-functional teams to improve product quality and optimize testing processes. This is an excellent opportunity for a seasoned test automation engineer looking to make a significant impact in the financial technology sector while working with cutting-edge technologies and methodologies.

The ideal candidate will bring 5+ years of relevant experience, strong technical skills in test automation, and a passion for quality engineering. Experience with cloud platforms, CI/CD pipelines, and modern testing tools is essential. The role offers growth opportunities and the chance to work on solutions that impact millions of users daily.

Senior SDET role at Early Warning Services, focusing on test automation and quality engineering for financial technology products like Zelle, offering competitive pay and benefits.

Early Warning Services Engineering Jobs

Early Warning Services delivers innovative payment and risk solutions to financial institutions nationwide, powering solutions like Zelle® and Paze℠.