Test Automation Engineer
at This It company is having vacancy for Test Engineer position
Skills required:
•4- 8 + Years of experience in automation with Selenium Cucumber framework and C# /
Python
• Candidates must be able to write test plans, test scenarios, test cases and do
exploratory testing, be process-oriented and above all, do a good job at documenting
the work done.
• Demonstrate strong grip on understanding business requirements, technical aspects of
software testing like - security and performance in addition to the general software
testing best practices.
• Hands-on & experienced with web and mobile applications testing using manual and
automation tools.
• Should be strong in setting up Selenium Test environment (Selenium Webdriver, C#,
MSTest, Nunit and Azure Devops pipeline)
• Must have CI/CD tool exposure (Preferably Azure Devops)
• Hands on experience in mobile app automation (iOS and Android)
• Hands on experience in Web Service testing using RestAssured/SoapUI/Postman
• Experience with load testing and knowledge of load testing tools like Jmeter would be
a plus.
• Experience with Security testing using ZAP tool will be plus
• Exposure to reporting Framework – Extent Report, Allure, etc.
• Building Automation Framework, adapt to new Languages and Tools, Solution
Provider, also wider thought process in understanding of Service Virtualization and
Performance Testing.
• Understanding on upcoming Technologies and Tools, should be able to provide
hybrid / Custom Solutions. Should have built Custom Tools for Automation.
• Awareness in creating Test Automation Frameworks for large-scale distributed
systems\cloud infrastructure.
• Familiarity with configuration management tools for software development (Azure
Devops server)
• Responsible for driving automation test strategy
• Should be strong in DB concepts
• Vast experience in testing with external APIs and SDKs
Education
Bachelor or Masters Education in electronics, computer, software engineering or other
relevant discipline.
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Key Responsibilities :
Design and Development : Develop robust and scalable robotic applications
using ROS2. Implement software for various robotic systems, ensuring high
performance and reliability.
Hand-on with developing ROS2 nodes, Services/Clients, Publishers/Subscriber.
Lead and develop path/motion planning algorithms that include route planning,
trajectory optimization, decision making, and open space planning. Good
understandings of Robot dynamics, kinematics and modeling.
System Integration : Integrate sensors, actuators, and other hardware
components with robotic systems. Ensure seamless communication between
hardware and software layers. Experienced on integration with perception
sensors such as IMU, GPS, Stereo Cameras, Lidar, Radar, and various other
sensors.
URDF Modeling : Create and maintain accurate URDF models for robotic
systems. Ensure models accurately represent the physical configuration and
kinematics of the robots.
Algorithm Implementation : Implement and optimize algorithms for perception,
localization, mapping, navigation, and control.
Job Description
Company Background
Workplace Fabric (WF) is focused on using Technology to create the most efficient and effective working environments. Using patented sensor technology, data analytics and innovative displays WF helps office users get the best out of their workspace while enabling a business to fully understand the utilisation of an office building.
Most customers are seeing how >20% savings can be achieved as well as creating a much improved working environment for staff and reduced service cost. The business has installations in 50 cities around the world with major blue-chip companies as customers. The business has a cash generative business model and is set for accelerated growth; a very exciting time to join a rapidly growing company.
Overview
The exciting opportunity has become available as a result of company growth and opportunities. The Technical Customer Service position will be working with a friendly professional team and the ideal candidate will provide technical support to clients located worldwide.
To provide training and support for clients who experience issues with equipment, compile clear guides for client and review data trends from the system, carry out root cause analysis when technical issues arise and provide necessary guidance to achieve resolution.
Supporting clients with their requests in relation to their Freespace products and solutions, carry out training sessions on products and analytics dashboard along with return to work solutions.
The Role
- Training clients on products, services, applications, maintenance & analytics dashboard
- Understand client requirements/issues & presents solutions as necessary
- To action ticket requests within Service Level Agreement & clearly articulate updates to clients
- Always looking at ways to improve internal systems and processes
- Prepare client quotes for additional services or products & issue invoices
- Review information and act upon findings
- To be involved in technical discussions in relation to Routers, Access Points, Wifi & Internet connectivity issues
- Interpret and manipulate data
- Prepare documentation to share with clients following site visit
- Facilitate client meetings, sharing information and training
- To understand the functionality of all the Freespace products to support client with their needs
- Carry out any reasonable ad-hoc requests
Working Hours
2: 30AM to 10:30AM IST – Monday to Friday
On call support (only for critical issues) – Alternate weekend
The Person
- Positive can-do attitude, good manner with initiative
- Technical understanding in relation PCs, Networking, Displays, Wireless
- Customer focused & excellent communication skills are essential
- Ability to make decisions, compile reports based on data analytics
- Able to work fast and solve problems under pressure at times of high workload and competing priorities
- Remain focused, composed, optimistic and flexible in difficult situations; resilient and bounces back from failures or disappointments
- Focuses on results and desired outcomes and how best to achieve them
- Comfortable working with ambiguity & to question to gain full understanding
- Displays an ongoing commitment to learning and self-improvement
- A willing and helpful person who thrives on providing support for the team to achieve their goals
Qualification/skills
- Basic knowledge of PCs, Networking, Displays, Wireless
- Validating analytics data
- Discretion with confidential client information
- 3+ years customer service experience within a technical industry
- To have an interest in the build environment or architecture
- A Financial background is desirable
- Proficient in Microsoft Excel & Word is essential
- Excellent communication skills – presentation, written and verbal
- Ability to prioritise workload and problem solve
- Good research skills and attention to detail
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Job Responsibilities:
- Design and develop high-volume, low-latency applications for mission-critical systems, delivering high-availability and performance.
- Contribute in all phases of the development lifecycle: concept, design, build, deploy, test, release to app stores and support.
- Diagnose performance issues, fix bugs (including crashes and ANRs) to increase the functionality of the application.
- Write well designed, testable, efficient code.
- Ensure designs are in compliance with specifications
- Prepare and produce releases of software components
- Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review
Desired Profile :
B.Sc. (CS or IT) + MCA/ BCA + MCA/ B.Tech. /B.E. (CS or IT) .
Experience required- 1 - 2 years
- Subject Proficient in Java/Kotlin programming
- Knowledge and experience in Flutter Framework and DART programming
- Hands on experience in using RESTful APIs
- Hands on experience in designing and developing micro-services architecture and containers
- Object oriented analysis, UML and design using common design patterns.
- Hands on experience in development IDE Android Studio, Android SDK, Firebase Test Lab
- Experience with offline storage, threading, and performance tuning
- Familiarity with push notifications
- Familiarity with IOS integration with Flutter
- Experience using GitHub or similar environment
- Complete understanding of SDLC
- Experience with Agile development
- Experience with Material Design and Android UI design principles, patterns and best practices
- Good knowledge of adding third-party libraries for Eg. Twilio
- Ability to understand business requirements and translate them into technical requirements
- 10 – 18 years of experience selling a SaaS solution, ideally selling B2B Enterprise Solutions.
- A classic enterprise solution seller with hands-on experience in technology.
- A strong passion for overachieving enterprise sales numbers in a hunting profile.
- Ability to recruit and build a team of Sales representatives and mentor them.
- Initially would be an Individual contributor and will build the team steadily.
- Having a sterling career so far already in achieving sales targets and wants to look at fast growth in a sales career and therefore being totally performance-driven.
- On-the-foot thinker and ability to build long-lasting professional relationships.
- You are interested in selling technology related to AI, SAAS solutions, and/or predictive analytics.
- Would be an Individual contributor but aiming to become a Sales Leader.
- Would already have working relationships across enterprise leaders in HR / IT / PMO teams
- Hunter - appetite for opening and closing new accounts.
- Track record of outstanding sales performance including exceeding quotas, winning sales awards, etc.
- Experience managing complex sales cycles.
- Driven, self-motivated, proactive, and excited about being at a start-up
- Thrives in a fast-paced, high-growth, rapidly changing environment.
- Partner with Customer Success to onboard the right customers and drive adoption/engagement in the first year.
- Strong executive presence.
- Experience selling to HR and TA leads would be an added advantage.
- Experience selling to the IT and ITES/BPO sector will be an added advantage.
- Experience selling HR tech solutions will be an added advantage.
Job Description:
We are looking to hire an experienced angularJS developer to join our dynamic team. As a lead developer, you will be responsible for creating a top-level coding base using Angular best practices. Your role will require you to implement an exciting and streamlined user experience in the form of a Java-based desktop and mobile web app.
Responsibilities:
- Designing and developing user interfaces using angularJS best practices.
- Adapting interface for modern internet applications using the latest front-end technologies.
- Writing JavaScript, CSS, and HTML.
- Developing product analysis tasks.
- Making complex technical and design decisions for AngularJS projects.
- Developing application codes and unit tests in AngularJS, Java Technologies, and Rest Web Services.
- Conducting performance tests.
- Consulting with the design team.
- Ensuring high performance of applications and providing support.
Requirements:
- Bachelor’s degree in computer science, computer engineering, or similar.
- Previous work experience as an AngularJS developer.
- Proficient in CSS, HTML, and writing cross-browser compatible code.
- Experience using JavaScript building tools like Gulp or Grunt.
- Knowledge of JavaScript MV-VM/MVC frameworks including AngluarJS.
- Excellent project management skills.
- Proven experience implementing back-end JavaScript applications.
- Excellent communication skills.
- Critical thinker and good problem-solver.
- If you are from IIIT, NIT;
- If you have experience of Amazon or equivalent product company;
- If you are confident to use technology and meet any product goals; Coding must be your interest as entrepreneurs need to do anything and everything if required.
- Have https://www.linkedin.com/feed/hashtag/?highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6658644615953956864&keywords=%23Leadership&originTrackingId=DfGfl6nWQw8ezWH0FuMWJQ%3D%3D" target="_self">Leadership qualities to present yourself strongly to https://www.linkedin.com/feed/hashtag/?highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6658644615953956864&keywords=%23VCs&originTrackingId=DfGfl6nWQw8ezWH0FuMWJQ%3D%3D" target="_self">VCs and can debate well;
- If you are ready to take the challenge with Company Stake, Co-founder role, and a minimum fixed salary (don't compare it with your corporate salary) to run your essentials; then THIS IS AN OPPORTUNITY TO TRY ENTREPRENEURSHIP WITH MINIMUM POSSIBLE RISK. You will not get an option to be a co-founder of a 3+years old totally operational startup, who gives you the seed for the next year to give a final touch and raise Series A.