Job Summary
Condé Nast is looking for a talented Software Quality Assurance Manager. In this role you will
be part of an IT organization and to provide direction and leadership on all quality matters
across the platform or domain. This is an opportunity to act as a key contributor in making sure
that work packages transition seamlessly from development into live environments Hone your
knowledge of quality best practices and collaboration and stakeholder management skills
Objectives of the Role
● Lead a global team of QE engineers who are responsible for ensuring E2E(end to end) quality
of our products
● Provide high direction for test teams delivering a clear and consistent vision
● Develop a roadmap for building needed test expertise. Establish and evolve formal QA
processes
● Define quality and automation KPI goals for the team and drive success towards achieving
them.
● To recommend, implement, and monitor preventative and corrective actions to ensure that
quality assurance standards are achieved
● Participate in brainstorming sessions and cross-departmental meetings to ensure collaborating
and cohesion
● Oversee all aspects of quality assurance including establishing metrics, implementing best
practices, and developing new tools and processes to ensure quality goals are met
● Act as a key point of contact for all QA aspects of releases, providing QA services and
coordinating QA resources internally and externally
● Review test strategies and test plans and ensure coverage for functional, performance and
scalability aspects are covered and tested
● Working cross functionally with Product and Engineering to ensure smooth delivery of product
that are on time, feature rich and with high quality
● Present QA status of testing with state-of-the-art dashboards and highlight key blockers and
where help is needed
● Ensure automated scripts are produced for E2E testing scenarios, including performance and
scale testing
● Review user found defects and continue to enhance and improve testing methodology and fill
gaps in testing as needed
● Communicate product status, key issues, and insights to key constituents across the
organization, including the executive team.
● Develop process for manual and automated testing strategy for business applications, web
applications and BI solutions.
● Experience in establishing testing strategy for dealing with quarterly releases by business
applications
Required Skills
● 12 + years’ experience in Product Quality testing role and 2-3 yrs in Management position
● Seasoned QA Manager with track record of delivering high quality products in a fast paced
environment
● Must have prior experience in building QA / Data Validation framework in bigdata for various
BU's
● Experience in "closing the loop" and "continuous improvement" of QA strategies based on
learnings from field issues
● Experience in business applications, web application, Business Intelligence applications
● Hands-on QA experience including testing automation. Deep knowledge of automation best
practices and industry trends.
● Good to have knowledge on One or more Test automation tools like xUnit , Selenium, Jmeter ,
Ranorex etc.
● Experience in automation testing using Selenium Webdriver, Testing Frameworks like TestNG
and NUnit.
● Strong proficiency in SQL coding (T-SQL or PL-SQL)
● Familiarity with data warehousing practices, ETL processing and denormalized data structures.
● Background in programming and testing across platforms is a plus
● Proficient with Bigdata concepts and/or tools is a plus (Hadoop, Hive, Spark).
● Strong analytical and reasoning skills
● Strong verbal, written communication skills and strong interpersonal skills.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
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CarWale Job Opportunity |Key Account Manager - Delhi & Mumbai - Enterprise Solutions
Department - Enterprise Solutions
About CarWale:
- About CarWale
CarWale is India’s largest and most preferred auto destination. We have been assisting buyers to make an informed buying decision through our website and mobile app. Over the last 14 years, our only aim has been to make car buying simple for our consumers. Today we serve over 20 million unique visitors every month, and at least one third of the country’s car buyers go through Carwale.com at some point during their pre purchase research.
Before you sign up with us, we would love to tell you more about the team you are going to be part of and believe, it will help you take the right decision.
About Enterprise Solutions:
Enterprise Solutions is the core solutions team within the company that interfaces with the largest advertising clients and devises customized marketing and technology solutions to suit their needs.
Role Requirement
Exp req- 1-3 yrs, from Tier 1 MBA College
Skills req- Sales, Business Development, Presales.
Auto, Consulting background preferred
Job Type: Full-time
CTC Offering : 3.6L PA to 6L PA
Job Location: Remote for 6-9 months due to the pandemic, then Mumbai, Maharashtra
Required experience:
-
Minimum 1.5 to 2 year of experience in Web & Backend Development using Python with experience in some form of Machine Learning ML Algorithms
Overview
We are looking for Python developers with a strong understanding of object orientation and experience in web and backend development. Experience with Analytical algorithms and mathematical calculations using libraries such as Numpy and Pandas are a must. Experience in some form of Machine Learning. We require candidates who have working experience using Django Framework
Key Skills required (Items in Bold are mandatory keywords) :
1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Experience with some form of Machine Learning (ML)
4. Experience in using libraries such as Numpy and Pandas
5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar
6. Hands on experience with RDBMS such as Postgres or MySQL
7. Experience building REST APIs using DRF or Flask
8. Comfort with Git repositories, branching and deployment using Git
9. Working experience with Docker
10. Basic working knowledge of ReactJs
11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku
KRAs includes:
1. Understanding the scope of work
2. Understanding and adopting the current internal development workflow and processes
3. Understanding client requirements as communicated by the project manager
4. Arriving on timelines for projects, either independently or as a part of a team
5. Executing projects either independently or as a part of a team
6. Developing products and projects using Python
7. Writing code to collect and mathematically analyse large volumes of data.
8. Creating backend modules in Python by building or reutilizing existing modules in a manner so as to
provide optimal deliveries on time
9. Writing Scalable, maintainable code
10. Building secured REST APIs
11. Setting up batch task processing environments using Celery
12. Unit testing prepared modules
13. Bug fixing issues as reported by the QA team
14. Optimization and performance tuning of code
Bonus but not mandatory
1. Nodejs
2. Redis
3. PHP
4. CI/CD
5. AWS
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