Sr. Software Engineer - Analytics

Babel Street is the trusted technology partner for the world's most advanced identity intelligence and risk operations. We deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empower government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage. The

actionable insights we deliver safeguard lives and protect critical assets around the world. Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K. For more information, visit

Babel Street is looking for aSenior Software Engineer to join our Analytics Group. This is a high-impact

Individual Contributorrole for a "builder" who wants to create the next generation of architecture and components for our analytics platform. You will work at the intersection ofNLP algorithms, high-scale search engines, and data science techniques, focusing specifically on evolving ourrecord matching functionality.

While this is an execution-focused role today, we are looking for a technical expert who wants to master a critical domain and has the drive togrow into a leadership position as our platform expands. You will helpidentifyfuture technology directions and help us create the "next wave" of software for record matching.

The record matching functionality is where Babel Street's signals become usable intelligence. By reconciling complex data points across disparate sources, your work ensures our customers can move from signal to insight with the highest level of trust.

When a match decision affects whether someone gets onboarded, sanctioned, or investigated, "the model said so" is not good enough. You'llbuild systems where every match isdefensible, auditable, and tunable, arare luxury in modern ML-heavy stacks.

Since our platformismultilingualandcan matchrecordsacrosslanguages, your linguistic insights can directly inform how we build and polish the NLP and computational linguistics components that make our record matching world-class

• Build and Polish:
  
  Create new architecture and components for the analytics platform, specifically driving the evolution of record matching.
• Drive Technical Direction:
  Research and prototype new technologies to improve platform performance and define the future technical path for your components.
• Own Your Domain:
  Serve as the primary technical expert for key components, working closely with Product Management to identify and implement critical software improvements.
• Mentor and Collaborate:
  Raise the bar for the team by mentoring junior engineers and participating in agile sprint and release planning.
• Ship Scalable Systems:
  Design and deliver robust APIs and scalable architectures that integrate seamlessly into our broader AI-native platform.

Required

• 6+ years of experience in professional Java development.
• Proven expertise in designing scalable systems and robust APIs.
• Deep Search Internals: A strong understanding of Elasticsearch internals, including performance tuning and data modeling.
• Growth Mindset:
  Strong communication and technical skills, with a passion for designing, building, and polishing innovative applications.
• Educational Foundation:
  Bachelor's degree in technical field.

Preferred (Nice to Have)

• Experience with computational linguisticsor
  
  NLP.
• Hands-on experience with Kubernetes.
• Experience securing APIs and systems (auth, roles, and secrets management).

• Month 1-2:
  
  Ramp up on the analytics stack and record matching architecture; contribute your first set of improvements to the production environment.
• Month 3-4:
  Take full ownership of a specific component or feature improvement,…