Delta System & Software, Inc.
Sr. Java AWS Kafka Expert
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Java AWS Kafka Expert in NJ, offering a contract of unspecified length with a competitive pay rate. Requires 9+ years in full-stack Java development, AWS, Kafka, and Agile/Scrum experience, along with relevant certifications.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 4, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#REST (Representational State Transfer) #REST services #AI (Artificial Intelligence) #Microservices #Agile #Security #Lambda (AWS Lambda) #Kafka (Apache Kafka) #Scrum #ML (Machine Learning) #Database Querying #Programming #Scala #Cloud #Debugging #Disaster Recovery #Java #AWS (Amazon Web Services)
Role description
Title- Sr. Java AWS Kafka Expert
Location- NJ
JD
Required qualifications, capabilities, and skills
· Formal training or certification on software engineering concepts and 9+ years applied experience and hands-on practical experience delivering system design, application development, testing, and operational stability
· 9+ years of experience in full-stack Java development within team (Agile/Scrum) environments and large implementations
· Mandatory hands-on experience with core Java, Spring, Kafka and REST services
· Leverage AWS services, including ECS, EKS, and Lambda, to design, deploy, and manage scalable and efficient cloud-based applications within the software development lifecycle
· Utilize advanced tools like Copilot and Codeium to streamline development processes and improve productivity.
· Excellent knowledge and experience in System Design, Domain Driven Design, and Microservices.
· Experience with architectural patterns for scalability, high availability, performance, and disaster recovery
· Hands-on practical experience in system design, application development, testing, and operational stability
· Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
· Overall knowledge of the Software Development Life Cycle
· Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
· Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
· Practical cloud native experience
Title- Sr. Java AWS Kafka Expert
Location- NJ
JD
Required qualifications, capabilities, and skills
· Formal training or certification on software engineering concepts and 9+ years applied experience and hands-on practical experience delivering system design, application development, testing, and operational stability
· 9+ years of experience in full-stack Java development within team (Agile/Scrum) environments and large implementations
· Mandatory hands-on experience with core Java, Spring, Kafka and REST services
· Leverage AWS services, including ECS, EKS, and Lambda, to design, deploy, and manage scalable and efficient cloud-based applications within the software development lifecycle
· Utilize advanced tools like Copilot and Codeium to streamline development processes and improve productivity.
· Excellent knowledge and experience in System Design, Domain Driven Design, and Microservices.
· Experience with architectural patterns for scalability, high availability, performance, and disaster recovery
· Hands-on practical experience in system design, application development, testing, and operational stability
· Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
· Overall knowledge of the Software Development Life Cycle
· Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
· Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
· Practical cloud native experience
