

Cloudbloom Systems LLP
https://www.cloudbloom.ioAbout
We are a global product engineering consultancy that integrates strategy, design and technology to enable enterprises and disruptive ideas to thrive in the digital next. We leverage our vast experience across industries and our platforms to improve our clients' ability to respond to change. Our technology platforms are adaptable and evolve to move with changing business landscape. This enables us to design and deliver human centric digital products and experiences at scale.
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Jobs at Cloudbloom Systems LLP

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Preference - Having experience in Telecom Domain.
You Will Do...
- Test the performance and robustness of the product to help determining the stability, scalability, and dimensioning
- Oversee preparation and verification of test environments in conjunction to developing test simulators and automation
- Capture and detail the outcome of test executions and all information needed to support ongoing measurements and reporting on risks, defects, tests, and coverage
- Report on the test execution in a timely manner with attention given to achieving outstanding quality
- Identifies issues, proposes system improvements, and performs repetitive test execution to resolve identified issues.
- Evaluate and research new tools and practices to improve the execution and processes
- Define the automation strategy to reduce the lead time of Performance testing
- Collaborate with microservice teams on test and integration with a focus on customer experience
- Design & execute test automation suite on solution level
- Continuously improve quality assurance through test management
- Develop and maintain the test automation infrastructure
- Operate pipelines for continuous delivery of microservices and SW packages
- Work with internal/external organizations and partners.
You will bring...
- Education: BS or MS in computer Science or acceptable equivalent
- Experience with UNIX/Linux operating system
- Min years of experience: 5 to 7 years of experience in Quality Assurance, Test Automation or similar role in development
- Strong understanding of Test methodology, reporting and automation
- Understanding and experience in Software Performance testing, analysis of highly integrated Enterprise application
- Knowledge on K8's deployment on Cloud Infra (AWS EKS Cluster)
- Hands-on experience on Helm Charts, config maps configuration changes, kubectl utility, Helm install and Upgrade
- Working knowledge on Load testing tools like JMeter, Postman, SoapUI, LoadRunner
- Hands-on knowledge on the Cassandra, Oracle, EDB, NoSQL DB like Cassandra
- Experience with Ci/CD Pipeline using Jenkin
- Good troubleshooting skill analyzing the thread dump, Memory heap dump
- Experience analyzing CPU/Memory consumption from the JProfiler or other tools.
- Strong programming Scripting & Programming languages - Python, Java, ANSIBLE, Shell
- System Monitoring and Reporting Tools - Grafana, Prometheus, JIRA, X-Ray, Dynatrace
- Good knowledge of wireless communication systems, lab troubleshooting and test automation technique/tools
- Good understanding of test automation framework with TestNG or JUnit
- Knowledge of cloud-native core principles, DevOps, ADP, Docker, Kubernetes, WRCP, RH OCP
- Experience in making shell scripts on-demand basis to automate the small or medium day to day work
- Experience communicating directly with daily status updates, Risk Mitigation & Results Closure.
- Strong programming, scripting, testing, and debugging skills
- Ability to work with Architect and Development team to define the key metrics and use cases to test the product stability and scalability

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.



Duties and Responsibilities:
Research and Develop Innovative Use Cases, Solutions and Quantitative Models
Quantitative Models in Video and Image Recognition and Signal Processing for cloudbloom’s
cross-industry business (e.g., Retail, Energy, Industry, Mobility, Smart Life and
Entertainment).
Design, Implement and Demonstrate Proof-of-Concept and Working Proto-types
Provide R&D support to productize research prototypes.
Explore emerging tools, techniques, and technologies, and work with academia for cutting-
edge solutions.
Collaborate with cross-functional teams and eco-system partners for mutual business benefit.
Team Management Skills
Academic Qualification
7+ years of professional hands-on work experience in data science, statistical modelling, data
engineering, and predictive analytics assignments
Mandatory Requirements: Bachelor’s degree with STEM background (Science, Technology,
Engineering and Management) with strong quantitative flavour
Innovative and creative in data analysis, problem solving and presentation of solutions.
Ability to establish effective cross-functional partnerships and relationships at all levels in a
highly collaborative environment
Strong experience in handling multi-national client engagements
Good verbal, writing & presentation skills
Core Expertise
Excellent understanding of basics in mathematics and statistics (such as differential
equations, linear algebra, matrix, combinatorics, probability, Bayesian statistics, eigen
vectors, Markov models, Fourier analysis).
Building data analytics models using Python, ML libraries, Jupyter/Anaconda and Knowledge
database query languages like SQL
Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM,
Decision Forests.
Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the
fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis
of a lot of predictive performance or algorithm optimization techniques.
Deep learning : CNN, neural Network, RNN, tensorflow, pytorch, computervision,
Large-scale data extraction/mining, data cleansing, diagnostics, preparation for Modeling
Good applied statistical skills, including knowledge of statistical tests, distributions,
regression, maximum likelihood estimators, Multivariate techniques & predictive modeling
cluster analysis, discriminant analysis, CHAID, logistic & multiple regression analysis
Experience with Data Visualization Tools like Tableau, Power BI, Qlik Sense that help to
visually encode data
Excellent Communication Skills – it is incredibly important to describe findings to a technical
and non-technical audience
Capability for continuous learning and knowledge acquisition.
Mentor colleagues for growth and success
Strong Software Engineering Background
Hands-on experience with data science tools

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Development Skills:
● Experience in developing real time software using C++ on Linux platform Design and
develop C++ Microservices for use in distributed systems.
● Experience with RESTful API development
● Experience installing, configuring, administering, monitoring, and troubleshooting
message brokers, ESB such as RabbitMQ, Kafka, MuleSoft etc
● Experience working with cloud and containerization technologies including AWS,
Google Cloud, Docker, Kubernetes etc.
● Improve quality of existing code base through debugging, re-factoring, and improving
unit and system tests
● Ability to work in a fast-paced environment with Agile mindset.
● Experience working with Scrum APM practices and tools including Jira, Confluence,
Git etc.
Networking Skills
● Understanding of Core Network protocols
● Experience in developing or integrating with real-time systems for networking
products
● Experience in developing with Software Defined Network Elements is an asset
● Understanding of Network protocols and access (MPLS, OpenBGP, OpenFlow) is an
asset
● Understanding of networking principles and concepts (SDN-WAN, SDN, labelling,
routing etc.) is an asset
● Understanding of 3GPP/5G network management, including Radio configuration,
QoS management, SLA management, Netconf, SNMP, directives is an asset

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Minimum of 2 years experience as a UI developer.
Experience in creating and integrating responsive and flexible UI for high-performance web applications
Extensive knowledge of React JS, JavaScript, web stacks, libraries, and frameworks.
Understanding of javascript design patterns and ReactJS lifecycle
Understanding of javascript coding methodologies and can rightly implement solutions to complex problems
Writing high-quality code that conforms to the standards and best practices of the industries standards
Superb interpersonal, communication, and collaboration skills.
Exceptional analytical and problem-solving aptitude.

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