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Senior Java Developer

Role overview

Qualifications

  • 10+ years of Java development experience
  • Strong expertise with Java, Spring Boot, Spring Batch, REST APIs, and multi-threading
  • Experience with Hadoop, HDFS, Spark, and big data processing frameworks
  • Proficiency in Python for scripting and data pipeline development

Responsibilities

  • Design, develop, and maintain backend applications using Java, Spring Boot, and Spring Batch
  • Build high-performance, multi-threaded data processing solutions for large-scale telemetry and time-series datasets
  • Develop and support data ingestion and transformation pipelines using Python and Apache Spark
  • Create and maintain REST APIs and integrations with Angular-based front-end applications

About the company

Sky Systems, Inc. (SkySys) logo

Sky Systems, Inc. (SkySys)

Information Technology & Services

Sky Systems, Inc. (DBA SkySys) is a technology consulting firm based out of Research Triangle Park, North Carolina, United States. SkySys specializes in Recruitment & Staffing, 24/7 On-Site & Remote Services, Managed Services Provider (MSP), Cisco Select Certified Partner and Dell Technology Partner, Contact Center Solutions (Cisco, Avaya, Genesys), Web Solutions, and other services. ​ SkySys currently works with clients across the United States and Canada. Our list of clients include top Fortune 500 companies in various industries – Financial Services, Banking, Pharmaceutical, IT Service Providers, Healthcare, Oil & Gas, Government, Consulting and Outsourcing, Telecommunications, Insurance, Aerospace, Semiconductors, and many more.

Company details

Company typeStartup
IndustryInformation Technology & Services
Company size11 - 50

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Job description

Role: Senior Java Developer
Position Type: Full-Time Contract (40hrs/week)
Contract Duration: 12+ months (potentially long term)
Work Hours: EST
Work Schedule: 8 hours/day (Mon-Fri)
Location: 100% Remote Candidates can work from anywhere in LATAM

Overview

We are seeking a Senior Java Developer to support the EIDA platform, a highly scalable and data-intensive application focused on analyzing manufacturing and equipment telemetry data within the semiconductor industry. This role will be responsible for building high-performance backend services, large-scale data processing pipelines, and analytical capabilities in a complex on-premise big-data environment.

Key Responsibilities

  • Design, develop, and maintain backend applications using Java, Spring Boot, and Spring Batch .
  • Build high-performance, multi-threaded data processing solutions for large-scale telemetry and time-series datasets.
  • Develop and support data ingestion and transformation pipelines using Python and Apache Spark .
  • Create and maintain REST APIs and integrations with Angular-based front-end applications.
  • Manage data access and optimization within HDFS/Hadoop and PostgreSQL environments.
  • Support CI/CD processes using Bitbucket, Jenkins, Docker, and Unix scripting .
  • Perform code reviews, automated testing, and performance optimization.
  • Troubleshoot production issues and tune JVM-based applications and database queries.
  • Collaborate with globally distributed engineering teams in an Agile environment.

Required Qualifications

  • 10+ years of Java development experience.
  • Strong expertise with Java, Spring Boot, Spring Batch, REST APIs, and multi-threading .
  • Experience with Hadoop, HDFS, Spark, and big data processing frameworks .
  • Proficiency in Python for scripting and data pipeline development.
  • Strong SQL skills, including complex query development, optimization, and data model design.
  • Experience with PostgreSQL or other relational databases.
  • Familiarity with Angular and front-end integrations.
  • Experience with Git/Bitbucket, Jenkins, Docker, and Unix/Linux environments .
  • Strong automated testing and unit testing experience.
  • Excellent debugging, performance tuning, and problem-solving skills.
  • Strong communication skills and ability to work in global teams.

Preferred Qualifications

  • Experience with Kafka or MQTT .
  • Exposure to time-series data platforms and telemetry systems.
  • Semiconductor manufacturing or equipment analytics experience.
  • Experience supporting on-premise infrastructure and private clusters.

Work Environment

  • On-premise development and production environments.
  • Collaborative team consisting of U.S.-based and offshore engineers.
  • Agile Scrum team environment.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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