Lineate Logo

Lineate

Senior Java Engineer (Architect-Level Expertise)

Posted 8 Hours Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Yerevan
Senior level
In-Office or Remote
Hiring Remotely in Yerevan
Senior level
Design, develop, and maintain scalable Java backend services, APIs, microservices, integrations, and event-driven systems. Lead architectural decisions, optimize performance and reliability, troubleshoot production issues, and drive engineering initiatives. Collaborate with product and engineering teams while contributing to search functionality and AI-powered features.
The summary above was generated by AI

About Lineate

Lineate is a US-based international software development company with over two decades of experience.

From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.

We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.

Our expertise falls into three main categories:

  • Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
  • Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
  • Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
  • Our goal is not just to build technology, but to build the future operating model for our clients.

Tech stack

Core: Java, Spring Boot, RxJava, Redis, MySQL, Apache Kafka

Additional technologies: Vespa, Elasticsearch, OpenSearch, Vector Search Technologies, AI/ML Infrastructure, Docker, Kubernetes

Key responsibilities

  • Design, develop, and maintain scalable, high-performance backend services using Java and Spring Boot
  • Take ownership of complex technical challenges, from identifying problems and proposing solutions to implementation and production delivery
  • Contribute to architectural decisions and continuously improve system performance, scalability, and reliability
  • Develop and optimize APIs, microservices, integrations, and event-driven systems using Kafka
  • Proactively identify technical bottlenecks, propose improvements, and drive engineering initiatives
  • Troubleshoot complex production issues and ensure high standards of code quality and maintainability
  • Participate in technical discussions, code reviews, and architectural planning
  • Collaborate with product and engineering teams to translate business requirements into reliable technical solutions
  • Contribute to the development and optimization of search functionality and AI-powered features as needed

Must-have qualifications

  • 8+ years of hands-on software engineering experience, with deep expertise in Java and production-grade backend development
  • Strong proficiency in Java and Spring Framework / Spring Boot
  • Architect-level technical expertise, including the ability to design complex backend systems, evaluate architectural approaches, and make sound technical decisions
  • Strong understanding of distributed systems, microservices, scalability, performance optimization, fault tolerance, and reliability
  • Solid experience with Redis, MySQL, and Apache Kafka
  • Experience with reactive programming (preferably RxJava)
  • Strong experience designing and developing APIs, backend services, and complex integrations
  • Proactive and self-driven mindset: ability to identify problems and opportunities, propose solutions, develop actionable plans, and take ownership of implementatio

Nice-to-have qualifications

  • Experience with Java 25+
  • Experience developing and optimizing high-performance search systems
  • Hands-on experience with full-text search, vector search, or semantic search technologies
  • Production experience with Vespa, OpenSearch, Elasticsearch, Weaviate, Pinecone, Milvus, Qdrant, or similar platforms
  • Experience building Retrieval-Augmented Generation (RAG) solutions
  • Familiarity with AI/ML infrastructure and pipelines, including integrating machine learning models into production services
  • Experience with embeddings, ranking, indexing, recommendation systems, and AI-powered services
  • Knowledge of cloud platforms and containerized environments (Docker, Kubernetes)
  • Experience with observability, monitoring, and performance analysis tools
  • Previous experience in Staff, Principal, or Architect-level engineering positions

Working hours

Candidates must be available to overlap with the New York team from 9:00 AM to 1:00 PM ET. The remaining working hours are flexible.

We offer

  • Freedom to Develop - equal opportunity to learn and grow professionally
  • Clear career and professional path, strong performance management system
  • Social Benefits Package
  • Equipment
  • English lesson
  • Gym membership
  • All the advantages of working in an international IT company
  • Flexible vacation time
  • Fun and inclusive in-person and digital events

Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Gergian legislation. All employment is decided based on qualifications, merit, and business need.Learn more about Lineate at our website: www.lineate.com

Similar Jobs

53 Minutes Ago
Remote
Entry level
Entry level
Information Technology • Consulting
Set up, restructure, launch, and optimize Google and Microsoft Search advertising campaigns. Manage keywords, search terms, negative keywords, bid strategies, and campaign performance metrics including CPC, CPA, ROAS, and Impression Share. Use Excel, Google Ads Editor, and internal optimization tools to validate data, identify anomalies, and test new features. Provide occasional written client updates and support client account management.
Top Skills: Google AdsGoogle Ads EditorMicrosoft AdsExcel
8 Hours Ago
In-Office or Remote
Senior level
Senior level
Software
Build and maintain scalable ETL/ELT pipelines and data platform components. Integrate heterogeneous data sources, clean and transform inconsistent datasets, and implement record matching, deduplication, reconciliation, and entity resolution without reliable common identifiers. Design data models and data quality processes, monitor pipeline performance, investigate discrepancies, and improve data reliability.
Top Skills: Apache AirflowApache KafkaSparkClickhouseDatabricksDbtEtl/EltPythonSnowflakeSQL
14 Hours Ago
Remote
Georgia, USA
Mid level
Mid level
Fintech • Financial Services
Lead Card Technology projects from requirements through delivery and handover. Coordinate business and technical teams, external vendors, and distributed local teams. Manage scope, dependencies, timelines, requirements, integrations, testing, risks, escalations, stakeholder reporting, and operational handover across multiple parallel projects.
Top Skills: Card TechnologyVendor Integrations

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account