Bidgely
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- Design and develop a framework, internal tools, and scripts for testing large-scale data systems, machine learning algorithms, and responsive User Interfaces.
- Create repeatability in testing through automation
- Participate in code reviews, design reviews, architecture discussions.
- Performance testing and benchmarking of Bidgely product suites
- Driving the adoption of these best practices around coding, design, quality, performance in your team.
- Lead the team on all technical aspects and own the quality of your teams’ deliverables
- Understand requirements, design exhaustive test scenarios, execute manual and automated test cases, dig deeper into issues, identify root causes, and articulate defects clearly.
- Strive for excellence in quality by looking beyond obvious scenarios and stated requirements and by keeping end-user needs in mind.
- Debug automation, product, deployment, and production issues and work with stakeholders/team on quick resolution
- Deliver a high-quality robust product in a fast-paced start-up environment.
- Collaborate with the engineering team and product management to elicit & understand their requirements and develop potential solutions.
- Stay current with the latest technology, tools, and methodologies; share knowledge by clearly articulating results and ideas to key decision-makers.
Requirements
- BS/MS in Computer Science, Electrical or equivalent
- 6+ years of experience in designing automation frameworks, tools
- Strong object-oriented design skills, knowledge of design patterns, and an uncanny ability to
design intuitive module and class-level interfaces - Deep understanding of design patterns, optimizations
- Experience leading multi-engineer projects and mentoring junior engineers
- Good understanding of data structures and algorithms and their space and time complexities. Strong technical aptitude and a good knowledge of CS fundamentals
- Experience in non-functional testing and performance benchmarking
- Knowledge of Test-Driven Development & implementing CD/CD
- Strong hands-on and practical working experience with at least one programming language: Java/Python/C++
- Strong analytical, problem solving, and debugging skills.
- Strong experience in API automation using Jersey/Rest Assured.
- Fluency in automation tools, frameworks such as Selenium, TestNG, Jmeter, JUnit, Jersey, etc...
- Exposure to distributed systems or web applications
- Good in RDBMS or any of the large data systems such as Hadoop, Cassandra, etc.
- Hands-on experience with build tools like Maven/Gradle & Jenkins
- Experience in testing on various browsers and devices.
- Strong communication and collaboration skills.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data Science
Deep Learning
Machine Learning (ML)● Research and develop advanced statistical and machine learning models for
analysis of large-scale, high-dimensional data.
● Dig deeper into data, understand characteristics of data, evaluate alternate
models and validate hypotheses through theoretical and empirical approaches.
● Productize has proven or working models into production-quality code.
● Collaborate with product management, marketing, and engineering teams in
Business Units to elicit & understand their requirements & challenges and
develop potential solutions
● Stay current with the latest research and technology ideas; share knowledge by
clearly articulating results and ideas to key decision-makers.
● File patents for innovative solutions that add to the company's IP portfolio
Requirements
● 4 to 6 years of strong experience in data mining, machine learning and
statistical analysis.
● BS/MS/Ph.D. in Computer Science, Statistics, Applied Math, or related areas
from Premier institutes ( only IITs / IISc / BITS / Top NITs or top US university
should apply)
● Experience in productizing models to code in a fast-paced start-up
environment.
● Fluency in analytical tools such as Matlab, R, Weka etc.
● Strong intuition for data and Keen aptitude on large scale data analysis
● Strong communication and collaboration skills.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
Spring Boot
Amazon Web Services (AWS)● Design and deliver scalable web services, APIs, and backend data modules.
Understand requirements and develop reusable code using design patterns &
component architecture and write unit test cases.
● Collaborate with product management and engineering teams to elicit &
understand their requirements & challenges and develop potential solutions
● Stay current with the latest tools, technology ideas, and methodologies; share
knowledge by clearly articulating results and ideas to key decision-makers.
Requirements
● 3-6 years of strong experience in developing highly scalable backend and
middle tier. BS/MS in Computer Science or equivalent from premier institutes
Strong in problem-solving, data structures, and algorithm design. Strong
experience in system architecture, Web services development, highly scalable
distributed applications.
● Good in large data systems such as Hadoop, Map Reduce, NoSQL Cassandra, etc.. Fluency in Java, Spring, Hibernate, J2EE, REST Services Ability to deliver code
quickly from given scenarios in a fast-paced start-up environment.
● Attention to detail. Strong communication and collaboration skills.
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