About the role
Skilled in Spring Boot, Hibernate, Microservices, Docker, Kubernetes, JPA, MySQL, SQL Server, Snowflake, REST API, Apache Kafka, Jenkins, CI/CD, Python, Machine Learning, Data Analytics. Leveraging GitHub Copilot to enhance productivity and reduce delivery timelines.
Interested in this role You can find all the relevant information in the description below.
Mandatory skills: Java, Snowflake, MongoDB, Kafka
Core Competencies
Languages: Java (717), Python
Frameworks: Spring Boot 3.x, Hibernate, JPA, Microservices, Apache Kafka, Docker, Kubernetes, API gateways, JWT, Spring MVC, Spring Cloud etc.
Tools: Jenkins, Maven, Gradle, Git, SonarQube, check style, Spotless, GitLab, Bitbucket, etc.
Databases: MySQL, SQL Server, Oracle, MongoDB, Snowflake, Derby
Reporting tools: Aqua scan, Checkmarks, SonarQube, Datadog, Soda, SSRS, etc.
Cloud: Azure, AWS (S3) basic
Others: REST APIs, ElasticSearch, New Relic, CI/CD, ETL, Swagger, Postman, Rancher, Data Analytics, ML Models, GitHub Copilot, Jira and Confluence.
Need Hands on AI skills.
Key Responsibilities
Full Stack Development: Build and maintain scalable web applications using Java (Spring Boot), Python (Fast API /Django), or Node.js for the backend.
AI/ML Integration: Work closely with Data Scientists to deploy and integrate ML models (including LLMs, Predictive Models, and NLP) into production environments via RESTful APIs.
Database Management: Design and optimize schemas for both SQL (Oracle, PostgreSQL) and NoSQL, (MongoDB), Snowflake databases.
Cloud & DevOps: Deploy applications using AWS or Azure services. xwzovoh Build and maintain CI/CD pipelines using Jenkins, Docker, and Kubernetes (OpenShift).
Interested in this role You can find all the relevant information in the description below.
Mandatory skills: Java, Snowflake, MongoDB, Kafka
Core Competencies
Languages: Java (717), Python
Frameworks: Spring Boot 3.x, Hibernate, JPA, Microservices, Apache Kafka, Docker, Kubernetes, API gateways, JWT, Spring MVC, Spring Cloud etc.
Tools: Jenkins, Maven, Gradle, Git, SonarQube, check style, Spotless, GitLab, Bitbucket, etc.
Databases: MySQL, SQL Server, Oracle, MongoDB, Snowflake, Derby
Reporting tools: Aqua scan, Checkmarks, SonarQube, Datadog, Soda, SSRS, etc.
Cloud: Azure, AWS (S3) basic
Others: REST APIs, ElasticSearch, New Relic, CI/CD, ETL, Swagger, Postman, Rancher, Data Analytics, ML Models, GitHub Copilot, Jira and Confluence.
Need Hands on AI skills.
Key Responsibilities
Full Stack Development: Build and maintain scalable web applications using Java (Spring Boot), Python (Fast API /Django), or Node.js for the backend.
AI/ML Integration: Work closely with Data Scientists to deploy and integrate ML models (including LLMs, Predictive Models, and NLP) into production environments via RESTful APIs.
Database Management: Design and optimize schemas for both SQL (Oracle, PostgreSQL) and NoSQL, (MongoDB), Snowflake databases.
Cloud & DevOps: Deploy applications using AWS or Azure services. xwzovoh Build and maintain CI/CD pipelines using Jenkins, Docker, and Kubernetes (OpenShift).
About this listing
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