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 empowers 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 www.babelstreet.com.  ROLE SUMMARY   Babel Street is looking for a Senior Software Engineer to join our Analytics Group. This is a high-impact Individual Contributor role for a "builder" who wants to create the next generation of architecture and components for our analytics platform. You will work at the intersection of NLP algorithms, high-scale search engines, and data science techniques, focusing specifically on evolving our record 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 to grow into a leadership position as our platform expands. You will help identify future technology directions and help us create the "next wave" of software for record matching.    WHY THIS ROLE MATTERS   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.    Do you care about provenance, explainability, and trust?    When a match decision affects whether someone gets onboarded, sanctioned, or investigated, "the model said so" is not good enough. You'll build systems where every match is defensible, auditable, and tunable, a rare luxury in modern ML-heavy stacks.   Do you speak multiple languages and want to have a chance to use that in your day-to-day activities?    Since our platform is multilingual and can match records across languages, your linguistic insights can directly inform how we build and polish the NLP and computational linguistics components that make our record matching world-class   WHAT YOU’LL DO (KEY RESPONSIBILITIES)   * 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.   WHAT YOU BRING (QUALIFICATIONS)   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 linguistics or NLP. * Hands-on experience with Kubernetes. * Experience securing APIs and systems (auth, roles, and secrets management).   WHAT SUCCESS LOOKS LIKE (FIRST SIX MONTHS)   * 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, leading to the design and technical execution. * Month 5–6: Deliver a measurable improvement to record matching quality or Elasticsearch performance and begin identifying the "next wave" of technology for the analytics group.  Benefits at Babel Street (just to name a few...) * Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family! * Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match. * Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives. * Holidays: Babel Street provides employees with 12 paid Federal Holidays * Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                  Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.   Range for this position based on qualifications and experience $130,000—$155,000 USD