Job Description
Qbitum
Great Opportunities
AI Augmented Real-time Industry Data Platform
Cloud/DevOps Engineer
- AWS/GCP/Azure
Docker/Kubernetes
Who we are, what we do
We are an experienced multidisciplinary team of passionate engineers who love to innovate and build GREAT PRODUCTS leveraging cutting edge technology around Data Science and AI.
We have built multiple successful data-centric, data-driven software over the last 10 years that transform data into Actionable Insights.
Our latest extension to the platform is AI augmented real-time analytics and using Applied AI and building Augmented Intelligence into various products in Manufacturing, Banking, Energy, Education, Healthcare, and Supply chain.
What's inside
Set of brilliant engineers who are well experienced and passionate about their products
Real-time Event Stream Processing, Real-time Data Analytics, Data Visualizations on Cloud platforms
Fast Data, Big Data, Data Lakes, and many purpose-built databases
Predictions, Anomaly detections, and Recommendations using Machine Learning and Deep Learning Internet of Things (IoT/IIoT) and Digital Twin and Operational Insights related platform development Software engineering with Java, Play, Spring, Spring Boot, Akka, Kafka, NoSQL, SQL
App and Web Development with TypeScript, React, Angular, Ionic, and Flutter
Cloud platforms with RESTful asynchronous microservices, Docker, Kubernetes, and DevOps
What we offer
Engage in product innovation and research in new products and new technologies
A challenging opportunity for you to learn, experiment, and influence world-class products People dedicated to their company who work with you as a family to focus your career growth
A young and exceptionally talented team who believes in innovation, professionalism, and teamwork
Salary that suits your experience, knowledge, skills, and value, not only coding.
Multiple Opportunities Available
Cloud/DevOps Engineer
- AWS/GCP / Azure
Docker/Kubernetes
2 to 5 years' experience
Strong knowledge in Cloud Engineering, Containerization, Performance tuning, and Systems engineering Degree in Software Engineering, Computer Science, Electronics Engineering or Equivalent
What you will need
Hands-on relevant years of experience on AWS/GCP/Azure or other similar systems Hands-on experience and thorough knowledge of Containers, Docker, and Kubernetes Hands-on experience and knowledge systems monitoring tools and techniques Hands-on experience and knowledge DevOps concepts, tools, and techniques
Hands-on experience and knowledge of Operating systems
Hands-on experience and knowledge of Security, Database administration, and Networking
Hands-on experience and knowledge of scripting, coding for automations
Take ownership in driving projects and achieving goals and producing deliverables
Ability to collaborate with developers, architects, and project managers to plan, design, and maintain applications
Ability to communicate and develop documentation, flowcharts, layouts, diagrams, and clear code
Comfortable working in a fast-paced, dynamic environment
Having the following skills is a plus
Proven experience in troubleshooting and supporting business and production issues OpenShift Container Platform or any other similar container platforms
Kubeflow, KServe, MLFlow, and other ML related platform experience
Data Streaming software like Kafka or equivalent technologies
Data Stream Processors like Flink and Spark or equivalent technologies
IoT Applications, frameworks, and technologies
JAVA skills, RESTful Microservices, Web Services
Play Framework, Spring Framework, and other Java-related web technologies and frameworks
PostgreSQL, MongoDB, Cassandra, Elasticsearch, OLAP, Redis, Caching technologies, and libraries
Experience in REST, JSON, AJAX, WebSocket, API/Services
Knowledge of software development lifecycle and Agile software development
Please send your resume/CV to [email protected]
