Full Stack Developer

Dabster consulting pvt ltd
Killin, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 60K

Job location

Killin, United Kingdom

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Confluence
JIRA
Azure
Cloud Computing
Databases
Continuous Integration
ETL
DevOps
Django
Elasticsearch
Github
Gradle
Hibernate
Java Persistence API
Python
PostgreSQL
Machine Learning
Maven
Microsoft SQL Server
MongoDB
MySQL
Natural Language Processing
Node.js
NoSQL
Openshift
Oracle Applications
Swagger
JSON Web Token
SonarQube
SQL Databases
SQL Server Reporting Services
Web Applications
Datadog
Simple Object Database Access
Postman
Spring Cloud
Spring-mvc
Large Language Models
Snowflake
Spring-boot
Backend
Gitlab
GIT
FastAPI
Kubernetes
Rancher
Data Analytics
Kafka
Bitbucket
Tools for Reporting
Api Gateway
REST
New Relic (SaaS)
Docker
Jenkins
Microservices

Job description

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.

Mandatory skills: Java, Snowflake, MongoDB, Kafka

Core Competencies

  • Languages: Java (7-17), 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., * 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. Build and maintain CI/CD pipelines using Jenkins, Docker, and Kubernetes (OpenShift).

Requirements

Do you have experience in Spring MVC?

Apply for this position