Sr. Software Engineer - Analytics

Babel Street$130K — $155K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in professional Java development.
  • Proven expertise in designing scalable systems and robust APIs.
  • Strong understanding of Elasticsearch internals, including performance tuning.
  • Strong communication and technical skills with a passion for innovative application development.
  • Bachelor's degree in a technical field.

Responsibilities

  • Create new architecture and components for the analytics platform focusing on record matching.
  • Research and prototype new technologies to enhance platform performance and define technical direction.
  • Act as the primary technical expert for key components, collaborating with Product Management for software improvements.
  • Mentor junior engineers and participate in agile sprint and release planning to elevate team performance.
  • Design and deliver robust APIs and scalable architectures that integrate into our AI-native platform.

Benefits

  • 85-100% coverage of monthly premium costs for Health, Dental, Vision, Life & Disability insurances for employees and their families.
  • Both Traditional and Roth 401(K) retirement plans with competitive matching.
  • Unlimited Flexible Leave for work-life balance.
  • 12 paid Federal Holidays.
  • Tuition Reimbursement for continuing education investment.
Full Job Description
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.

Range for this position based on qualifications and experience

$130,000-$155,000 USD

About Babel Street

Babel Street is a software company that provides advanced data analytics and search capabilities to government agencies and private sector organizations. The company was founded in 2014 by Jeff Chapman and is headquartered in Reston, Virginia. Babel Street's flagship product is the Babel X platform, which allows users to search and analyze data from a wide range of sources, including social media, news articles, and public records. The platform uses advanced algorithms and machine learning to identify patterns and trends in large datasets, enabling users to make more informed decisions. Babel Street is committed to helping its customers stay ahead of emerging threats and opportunities.
Learn more about Babel Street
Size
50 employees
Industry
Founded
2014

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