Software Developer

Job ID: 32683157

Budget: ₹75,000 – ₹150,000 INR

Java Development:
Software engineering, cloud expertise, containers/micro-services, virtual network functions, ETSI-MANO Programming: Python, Java, Linux shell scripting.
Development: OpenStack, Docker, Kubernetes, CI/CD GitLab, GitHub, JFrog Artifactory, Docker, Kubernetes, RESTful API, HEAT, Tosca, YAML

Validation: Jenkins, Gherkin, Cucumber, Ruby, HP Quality Center


Cloud, Python, Docker Developer:
(Must have): Python, Pandas, Pytest, CI/CD, Jira, Confluence, GitHub,
(Good to have): Python Flask, Dash, DevOps, Big Data architecture, SCRUM, SonarQube
(Good to have): Docker, Hadoop, HBase, Kafka, NiFi, Camunda, Databricks, Cloudera, Kubernetes.
Engineer capable of designing solutions, writing code, testing code, automating testing and deployment
Proven skills, knowledge and experience with statistical computer languages.
(Python, etc.) and associated ecosystem (jupyterlab, jupyter notebook, ...), Good knowledge of CI/CD and automated testing using Python




Cloud, Python, Docker Developer
Software engineering, cloud know-how, containers/micro services, virtual network functions, ETSI-MANO Programming: Python, Java, Linux Shell Scripting
Development: OpenStack, Docker, Kubernetes, CI/CD GitLab, GitHub, JFrog Artifactory, Docker, Kubernetes, RESTful API, HEAT, Tosca, YAML
Validation: Jenkins, Gherkin, Cucumber, Ruby, HP Quality Center

Cloud Architecture 9 FTE for various clients:
Consulting experience in developing multi-cloud reference architectures and solution designs; proven experience in cloud migration and application transformation.
Developed multi-cloud reference architectures and solution designs based on leading hyperscalers AWS, Azure & GCP.



Full stack cloud designer

Java, Scala, JavaScript, Akka HTTP, HTML5, CSS2, SBT, Swagger, Helm, React, Docker, Kubernetes, Grafana, Kibana, Elasticsearch
Expertise: Concepts, architectures, trends and impact of innovations such as virtualisation, cloudification, containerisation, automation, edge computing and microservices.
IaaS, PaaS, SaaS, cloud environments (e.g. ETSI VNF / MANO) and migration scenarios to the cloud incl. cloud-native (re)design of applications and platforms


AWS Architecture:
Experienced in public cloud concepts (OTC)
expertise, ideally with certification, in one or more of the following technologies: AWS, MS Azure and Google Cloud