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Job Title: Junior Automation Tester

Location: CBD Belapur – Navi Mumbai

Experience: 2 to 5 years

Educational Qualification: B.E / B.Tech / B.Sc-IT / BCA / B.Sc / M.E / MCA / M.Sc-

IT / M.Tech

Role Overview

We are looking for a motivated and detail-oriented Junior Automation Tester with

hands-on experience in Cypress and Cucumber. The candidate will be responsible for

designing, executing, and maintaining automation scripts to ensure high-quality software

delivery. This role provides the opportunity to work with modern test automation

frameworks, collaborate in an Agile environment, and grow into a senior QA automation

professional.

Key Responsibilities

 Design, develop, and maintain automated test scripts using Cypress and

Cucumber (BDD).

 Execute test cases and maintain automation suites for web and API applications.

 Collaborate with developers, QA leads, and product teams to define test scenarios

and acceptance criteria.

 Participate in Agile/Scrum ceremonies and contribute to sprint testing

deliverables.

 Perform regression and smoke testing, ensuring stability across product releases.

 Identify, log, and track software defects; verify fixes in subsequent builds.

 Support the integration of automation test suites within CI/CD pipelines (Jenkins,

GitLab, Azure DevOps, etc.).

 Stay updated with emerging automation tools and continuously enhance testing

efficiency.

Required Skills & Competencies

 Strong hands-on experience with Cypress and Cucumber (BDD framework).

 Good knowledge of JavaScript or TypeScript for writing automation scripts.

 Experience in API testing using tools like Postman or RestAssured.

 Basic understanding of test frameworks such as Selenium, TestNG, or

Playwright (added advantage).

 Familiarity with version control systems (Git, Bitbucket).

 Solid understanding of STLC and Agile methodologies.

 Strong analytical thinking, attention to detail, and problem-solving skills.

 Excellent communication and collaboration abilities.

Data Engineer 

Mandatory Requirements  

• Experience in AWS Glue 

• Experience in Apache Parquet  
• Proficient in AWS S3 and data lake  
• Knowledge of Snowflake 
• Understanding of file-based ingestion best practices. 
• Scripting language - Python & pyspark 

CORE RESPONSIBILITIES 

• Create and manage cloud resources in AWS  
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies  
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform  

• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations  
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data. 
• Define process improvement opportunities to optimize data collection, insights and displays. 
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible  
• Identify and interpret trends and patterns from complex data sets  

• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.  
• Key participant in regular Scrum ceremonies with the agile teams   
• Proficient at developing queries, writing reports and presenting findings  
• Mentor junior members and bring best industry practices  

QUALIFICATIONS 

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)  
• Strong background in math, statistics, computer science, data science or related discipline 
• Advanced knowledge one of language: Java, Scala, Python, C#  
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake   

• Proficient with 
• Data mining/programming tools (e.g. SAS, SQL, R, Python) 
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum) 
• Data visualization (e.g. Tableau, Looker, MicroStrategy) 
• Comfortable learning about and deploying new technologies and tools.  

• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.  
• Good written and oral communication skills and ability to present results to non-technical audiences  
• Knowledge of business intelligence and analytical tools, technologies and techniques. 

Familiarity and experience in the following is a plus:  

• AWS certification 
• Spark Streaming  
• Kafka Streaming / Kafka Connect  
• ELK Stack  
• Cassandra / MongoDB  

• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools 

You will be getting leads from the company. You need to builds and maintains business relationships with new and existing customers. You understand customers' needs and recommend appropriate solutions, negotiate with clients to help them move down the sales funnel, record client feedback and maintain a customer database. 

About Kloud9:

Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.

Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.

At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.

Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.

We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.

Responsibilities:

●       Studying, transforming, and converting data science prototypes

●       Deploying models to production

●       Training and retraining models as needed

●       Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their respective scores

●       Analyzing the errors of the model and designing strategies to overcome them

●       Identifying differences in data distribution that could affect model performance in real-world situations

●       Performing statistical analysis and using results to improve models

●       Supervising the data acquisition process if more data is needed

●       Defining data augmentation pipelines

●       Defining the pre-processing or feature engineering to be done on a given dataset

●       To extend and enrich existing ML frameworks and libraries

●       Understanding when the findings can be applied to business decisions

●       Documenting machine learning processes

Basic requirements: 

●       4+ years of IT experience in which at least 2+ years of relevant experience primarily in converting data science prototypes and deploying models to production

●       Proficiency with Python and machine learning libraries such as scikit-learn, matplotlib, seaborn and pandas

●       Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc

●       Experience in working with ML frameworks like TensorFlow, Keras, OpenCV

●       Strong written and verbal communications

●       Excellent interpersonal and collaboration skills.

●       Expertise in visualizing and manipulating big datasets

●       Familiarity with Linux

●       Ability to select hardware to run an ML model with the required latency

●       Robust data modelling and data architecture skills.

●       Advanced degree in Computer Science/Math/Statistics or a related discipline.

●       Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.)

Nice to have

●       Familiarity with Java, and R code writing.

●       Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

●       Verifying data quality, and/or ensuring it via data cleaning

●       Supervising the data acquisition process if more data is needed

●       Finding available datasets online that could be used for training

Why Explore a Career at Kloud9:

With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers.

Mandatory skills 

1. Singleview 
2. Experience in C++, Python & Perl
3. Broad understanding of UNIX operating environment

Secondary exp:

1. Experience with multi-user, complex software applications
2. Mix platforms such as Windows/ Linux
3. Able to gain a basic understanding of client requirements.

Soft Skills required :

- Should be self-motivated and self-driven

- Ability to work with team members across the globe

- Excellent interpersonal and written communication skills

- Ability to define, implement and work to a schedule

- Good time management skills

1. Full Stack developer (.Net): (experience 3 to 6 years) 

• Experience in designing multithreaded/concurrent/distributed systems.
• Experience in .Net framework and C# programming is required (3+ years).
• Experience in working on scalable non-blocking server side frameworks like Spring stack(2+ years)
• Experience with both SQL and NoSQL databases, Message brokers. ex: Postgres/MySQL, MongoDB/DynamoDB/Redis/Neo4j, Kafka (2 +years)
• Experience in Front end language and frameworks. JavaScript, must be an expert in one of the front end frameworks (ex: React) (2+)
• Understand cloud technologies and should have deployed applications or products in popular cloud platforms like AWS, GCP, MS Azure, etc (2+ years).

Optional:

• Experience with BigData is a big plus
• Knowledge of functional programming principles is a plus.
• Experience in HTML5 and CSS3