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Java Elasticsearch Jobs in Boston, MA (NOW HIRING)

Sr. Software Engineer - Analytics

Somerville, MA · On-site

$133K - $176K/yr

... 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 ...

Principal DevOps Engineer

Boston, MA · On-site

$118 - $190/hr

MongoDB, Elasticsearch or similar platforms * GovCloud, FedRAMP or ITAR environments * GitOps and platform engineering experience * Cloud cost optimization and FinOps * Java application operational ...

Principal DevOps Engineer

Boston, MA · On-site

$118K - $190K/yr

MongoDB, Elasticsearch or similar platforms * GovCloud, FedRAMP or ITAR environments * GitOps and platform engineering experience * Cloud cost optimization and FinOps * Java application operational ...

Work with distributed messaging systems, scalable data stores (DynamoDB, Elasticsearch, etc.) and ... NodeJs, Go, Java, Scala, or Rust; familiarity with Python, or C/C++ a plus * Experience with NoSQL ...

Senior Engineer

Hanscom Air Force Base, MA · On-site

$111K - $152K/yr

Prometheus, Grafana, Fluentbit, Loki or Elasticsearch/Kibana * Demonstrable software development skills in Java and/or Go, comfortable reading, modifying, and contributing to application codebases ...

Showing results 21-40

Java Elasticsearch information

See Boston, MA salary details

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How much do java elasticsearch jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for java elasticsearch in Boston, MA is $61.60, according to ZipRecruiter salary data. Most workers in this role earn between $53.27 and $68.94 per hour, depending on experience, location, and employer.

What is a Java Elasticsearch developer?

Java Elasticsearch developers are software engineers who specialize in integrating and utilizing Elasticsearch, a powerful search and analytics engine, within Java-based applications. They design, implement, and optimize search functionalities, ensuring efficient data indexing, querying, and retrieval. Their responsibilities often include configuring Elasticsearch clusters, developing RESTful APIs, and troubleshooting performance issues to provide scalable search solutions.

What are some common challenges Java developers face when integrating Elasticsearch into applications?

Java developers often encounter challenges such as handling complex query structures, optimizing search performance, and ensuring data consistency between the application and Elasticsearch clusters. Additionally, understanding Elasticsearch's distributed architecture and tuning it for scalability can require a learning curve. Collaborating closely with DevOps and data engineering teams is essential to monitor cluster health and manage index mappings effectively.

What are the key skills and qualifications needed to thrive as a Java Elasticsearch developer, and why are they important?

To thrive as a Java Elasticsearch Developer, you need strong Java programming skills, experience with Elasticsearch, and a background in software engineering or computer science. Familiarity with tools like Kibana, Logstash, RESTful APIs, and relevant certifications such as Elasticsearch Engineer can enhance your technical proficiency. Problem-solving skills, attention to detail, and effective communication are crucial soft skills for managing complex data requirements and collaborating with teams. These skills ensure the development of efficient, scalable search solutions that meet business and user needs.

What is the difference between Java Elasticsearch vs Java Developer?

AspectJava ElasticsearchJava Developer
Primary FocusImplementing search and analytics solutions using Elasticsearch with JavaDeveloping Java applications across various domains
Required SkillsJava, Elasticsearch, REST APIs, data modelingJava, object-oriented programming, frameworks like Spring
Work EnvironmentData-driven projects, search engine optimization, big dataSoftware development, application design, system integration
CertificationsElasticsearch certifications, Java certificationsJava certifications (Oracle Certified Java Programmer)

Java Elasticsearch specialists focus on integrating Elasticsearch with Java to build search and analytics solutions, while Java Developers have a broader role in developing various Java applications. Both roles require Java skills, but Elasticsearch roles emphasize search engine knowledge and data handling, making them more specialized within the Java ecosystem.

What are popular job titles related to Java Elasticsearch jobs in Boston, MA?

For Java Elasticsearch jobs in Boston, MA, the most frequently searched job titles are:

Sr. Software Engineer - Analytics

Babel Street

Somerville, MA • On-site

$133K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 27 days ago


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.                 

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 coworker, 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.