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Remote Java Card Jobs in Georgia (NOW HIRING)

Worldpay

Cyber Security Engineer II

Atlanta, GA · On-site +1

$79K - $116K/yr

This position is not eligible for remote work. Ready to take your careerglobal? Make your mark at ... Experience with Java and/or .NET * Experience using DAST, SAST and SCA tools and services

All JobsJava Card JobsRemote Java Card JobsRemote Java Card Jobs in Georgia

Remote Java Card information

What is the difference between Remote Java Card vs Remote Java Developer?

AspectRemote Java CardRemote Java Developer
Required CredentialsJava Card certification, Java programming skillsBachelor's in Computer Science or related, Java programming skills
Work EnvironmentEmbedded systems, secure hardware environmentsSoftware development, web or application projects
Industry UsageFinancial, telecommunications, secure hardware sectorsTech, finance, startups, enterprise software
Common Search/ComparisonYesYes

Remote Java Card specialists focus on developing secure applications for embedded hardware using Java Card technology, often requiring specific certifications. In contrast, Remote Java Developers work on general software applications across various industries. While both roles involve Java programming, their work environments and industry applications differ significantly.

What is a Remote Java Card developer?

A Remote Java Card developer is a software engineer who specializes in creating, testing, and maintaining applications for Java Card technology while working from a remote location. Java Card is a platform used to run secure applications on smart cards and similar devices, such as SIM cards and ID cards. These developers use the Java Card API to write programs that perform secure transactions, manage data, and interact with hardware. Remote Java Card developers often collaborate with security teams to ensure the integrity and confidentiality of data processed by smart cards.

What are some common challenges faced by professionals working in a Remote Java Card role, and how can they be addressed?

One common challenge in a Remote Java Card role is effectively collaborating with distributed teams, especially when troubleshooting and testing smart card applications. Clear communication and leveraging collaborative tools such as version control systems and shared documentation can help bridge the physical distance. Additionally, remote professionals may need to set up complex testing environments at home, so familiarity with virtual smart card simulators and remote debugging tools is valuable. Regular check-ins and knowledge-sharing sessions with the team can also help address technical roadblocks and ensure project alignment.

What are the key skills and qualifications needed to thrive as a Remote Java Card Developer, and why are they important?

To thrive as a Remote Java Card Developer, you need strong proficiency in Java programming, smart card technology, and a solid understanding of security protocols, often supported by a degree in computer science or a related field. Familiarity with Java Card SDK, GlobalPlatform specifications, and secure development environments is typically required. Excellent problem-solving, attention to detail, and effective remote communication skills set top performers apart. Mastery of these skills ensures the delivery of secure, reliable smart card applications and seamless collaboration in distributed teams.
What are popular job titles related to Remote Java Card jobs in Georgia? For Remote Java Card jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Java Card jobs in Georgia look for? The top searched job categories for Remote Java Card jobs in Georgia are:
What cities in Georgia are hiring for Remote Java Card jobs? Cities in Georgia with the most Remote Java Card job openings:
    Remote Java Card jobs near you

    Data Engineer - GCP

    The Data Sherpas

    Atlanta, GA • On-site, Remote

    $110K - $132K/yr

    Full-time

    Medical, Dental, Vision

    Re-posted 11 days ago

    Job description

    Who We Are:

    We are a dynamic team focused on building innovative and scalable data solutions on Google Cloud Platform (GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.


    What We Are Looking For:

    We are seeking an experienced and highly skilled Google Cloud Data Engineer who will be responsible for developing and managing data pipelines on GCP. The ideal candidate will bring strong expertise in cloud-based data processing, big data technologies, and data modeling to help us provide high-performance data solutions.


    Responsibilities:

    Data Pipeline Development and Management:

    • Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.
    • Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.
    • Optimize data pipeline performance, scalability, and reliability.
    • Ensure data processing and ingestion workflows are monitored and meet performance SLAs.

    Data Storage and Management:

    • Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.
    • Optimize data structures and partitioning for performance and cost efficiency.
    • Ensure data security, integrity, and availability in all storage solutions.
    • Manage data lifecycle policies and archiving processes.

    Data Transformation and Processing:

    • Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions.
    • Implement data quality checks, validation rules, and monitoring solutions.
    • Support real-time and batch data processing needs.

    Data Integration and Automation:

    • Integrate data from multiple sources, including APIs, databases, and third-party applications.
    • Automate data ingestion, transformation, and export using tools like Cloud Composer and Cloud Functions.
    • Ensure data consistency across different environments and systems.

    Collaboration and Stakeholder Engagement:

    • Work closely with data scientists and analysts to understand data needs and business goals.
    • Provide technical guidance and best practices to the data engineering and business teams.
    • Collaborate with security and compliance teams to ensure data governance standards are met.

    Performance Monitoring and Troubleshooting:

    • Monitor data pipeline performance and troubleshoot issues in real-time.
    • Analyze data pipeline failures and implement fixes to prevent recurrence.
    • Set up logging and monitoring using Stackdriver and Cloud Monitoring.


    Qualifications:

    • Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree is a plus.
    • 3+ years of experience in data engineering, with at least 2+ years working with Google Cloud Platform.
    • Google Professional Data Engineer certification is required.
    • Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.
    • Hands-on experience with big data tools and frameworks such as Apache Beam, Hadoop, Spark, or Flink.
    • Hands-on experience with dbt.
    • Proficiency in programming languages such as Python, Java, or Scala.
    • Strong knowledge of SQL, data modeling, and query optimization.
    • Experience with CI/CD tools and version control (e.g., Git, Cloud Build).
    • Strong understanding of data governance, security, and compliance requirements.
    • Ability to manage large-scale data processing and real-time data pipelines.
    • Excellent problem-solving, analytical, and communication skills.
    • Must be a U.S. Citizen or Green Card holder.


    Preferred Skills:

    • Experience with machine learning pipelines and AI/ML model deployment.
    • Familiarity with Terraform and Infrastructure as Code (IaC) principles.
    • Experience with NoSQL databases and key-value stores on GCP.
    • Knowledge of containerization and orchestration using Google Kubernetes Engine (GKE).


    What We Offer:

    • Competitive salary and performance-based incentives.
    • Comprehensive health, dental, and vision coverage.
    • Professional development and training opportunities (including GCP certification).
    • Flexible work environment and remote work options.


    Join us and be part of a team building innovative and scalable data solutions on Google Cloud Platform!


    This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.


    This position is open to direct candidates only. We are not working with third-party agencies.


    Candidates must be U.S. Citizens or Green Card holders.


    Apply