Job Specifications
Mitek (NASDAQ: MITK) is a global leader in digital & biometric identity authentication, fraud prevention, and mobile deposit solutions. Our verified identity platform and advanced image capture solutions are built on the latest advancements in biometric recognition, artificial intelligence, computer vision and machine learning, and trusted by over 7,500 organizations worldwide. We are headquartered in San Diego, California, with operations in the United Kingdom, Spain, France, Mexico, and the Netherlands. Visit us at www.miteksystems.com.
At Mitek, we believe that teams are more resilient, effective, and innovative when they benefit from a wide range of ideas, lived experiences, and perspectives. The strength of our organization is deeply rooted in the people who power it.
We know that a workforce reflecting the richness of our communities and customers helps us better serve their needs. These lived experiences influence our decisions, shape our products, services, and help us grow with intention. When it comes to talent, our goal is clear: to discover exceptional individuals and to ensure they discover us. We prioritize drive, skill, experience, and ambition in everything we do for our clients.
We are Virtual 1st! Whether you choose to work remotely from your home office or in-person from one of Mitek’s offices, our practices, processes and tools are designed to enable your success. At Mitek, the Future of Work is about flexibility and preference wherever and whenever we are working.
We are looking for a senior engineer to help automate and streamline the process of bringing new documents and machine learning models into our document verification and identity platform.
This is a hands-on individual contributor role with a high level of ownership and impact.
What You Will Do (Essential Responsibilities):
Replacing manual, slow onboarding processes with automated, reliable pipelines using modern CI/CD and cloud technologies.
Design, build, and deploy production-grade APIs and services within a microservices/serverless architecture
Own your code from design to deployment, ensuring scalability, security, and performance at every step
Automate testing and delivery through robust unit, integration, and performance tests
Document your work clearly for internal stakeholders and external developers consuming our public APIs
Work closely with ML Teams and engineering teams to integrate existing ML models and services into the onboarding process, improve release quality through automation and testing, and enable faster, more scalable deployments.
Collaborate cross-functionally with product managers, researchers, and operations teams to translate ideas into production-ready features
Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives) and help drive continuous improvement
Who You Are (Soft Skills/Attributes):
Data-driven and innovative mindset.
Logical and creative problem-solver, with the ability to summarize issues effectively.
Highly autonomous, able to independently drive a complex, ambiguous end-to-end initiative. Comfortable being the single owner of a high-impact initiative
Comfortable working across organizational boundaries and proactively engaging research, engineering, and platform teams
Clear and concise communication. You effectively set expectations and raise issues as needed.
Comfortable operating with incomplete requirements and imperfect data, making progress through iterative refinement
An engineer who lives our core values of Delivering, Learning, and Caring.
What You Bring (Required Knowledge, Skills & Abilities):
Bachelor’s degree in computer science or equivalent practical experience
Demonstrated senior-level experience building and operating production-grade backends
Senior-level proficiency in Python, particularly for machine learning pipelines, automation, and data processing
Proven experience designing CI/CD-driven, fully automated release pipelines with integrated testing and quality gates.
Experience defining automated decision logic based on metrics or KPIs to enable fully automated onboarding or release flows
Practical experience integrating ML workflows into existing production systems
Experience working with existing machine learning models for document analysis, computer vision, or similar unstructured data problems, including evaluation, configuration, and adaptation
Hands-on experience with AWS-based environments, including scalability, reliability, and cost considerations
Proficiency with Git.
Proficiency with spoken and written English.
What Would be Nice (Preferred Skills & Experience):
Experience improving or automating data labeling strategies, including semi-supervised or active learning approaches
Exposure to MLOps practices, including experiment tracking, model versioning, ML-specific CI/CD patterns, and optimization of model training performance for concurrency, resource utilization, or cost efficiency
Familiarity working with C++-based c