Senior Backend Engineer

Level

Senior

Department

Java

Type

Full Time

Project

NDA

Locations:

Remote

Job Details

Posted on:

July 4, 2026

Job ID:

EWfUSx

About the Company

Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide.

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.

About the Project

Our client is a global leader in maritime risk analytics, revolutionizing the maritime industry with cutting-edge AI technology. They transform complex data into actionable insights, enabling organizations to make mission-critical decisions for security, compliance, and operations.
As an Experienced Backend Engineer, you will play a pivotal role in the design, development, and maintenance of the company's data platform. This platform supports critical data-driven decision-making throughout the organization. You will work closely with cross-functional teams, including data scientists, analysts, and other software engineers, to ensure smooth data flow and optimize services.

Specialization

Headquarters

Years on the market

Team size and structure

Current technology stack

Required skills:

Bachelor's degree in Computer Science, Engineering, or a related field.
A minimum of 5 years of professional experience as a Backend Engineer.
Full proficiency in Java (specifically Spring Boot) and Kafka, with experience in developing microservices architecture and streaming solutions.
Proficiency in Generative AI (GenAI) and Large Language Model (LLM) tools.
Expertise in AWS services for data storage, processing, and analytics.
Experience in designing and implementing robust ETL (Extract, Transform, Load) processes for data transformation and integration.
Good working knowledge of Python.
Familiarity with data processing technologies like Spark is a significant advantage.
Experience with MySQL is required; experience with SingleStore is a significant advantage.
Exceptional problem-solving skills and attention to detail.
Ability to work independently and take ownership of tasks.
Excellent communication skills in English, both written and verbal.
Proactively engaged with LLM and AI tools (e.g., Claude) throughout the development lifecycle.

Scope of work:

Utilize Java, including Spring Boot, to build robust and high-performance data processing services within the data platform.
Implement real-time data streaming solutions using Kafka to ensure timely data ingestion and availability.
Collaborate with cross-functional teams to understand data requirements, identify opportunities for optimization, and support data-driven initiatives.
Lead the design, development, and maintenance of scalable data pipelines to collect, process, and transform data from diverse sources.
Leverage AWS services for data storage, processing, and analytics, ensuring adherence to security and performance best practices.
Monitor and troubleshoot service performance, proactively identifying bottlenecks and implementing optimizations.
Ensure data integrity, reliability, and availability by implementing ETL processes and performing data quality checks.