Field Sales Executive

At Shipthis, we work to build a better future and make meaningful changes in the freight forwarding industry. Our team members aren't just employees. We are comprised of bright, skilled professionals with a single straightforward goal - Evolve Freight forwarders towards Digitalized operations and help them become more efficient. 

As a company, we're just the right size for every person to take initiative and make things happen. Join us on this journey to make a difference in how Digitalization evolves the Freight Forwarding industry. 

Visit us at https://www.shipthis.co 

JOB DESCRIPTION 

Job Overview: We are seeking a highly skilled Software Tester to join our dynamic and fast-paced team. As a Software Tester, you will be responsible for ensuring the quality of Shipthis' ERP software by designing and executing tests, identifying and documenting bugs, and verifying fixes. You will work closely with our developers and project managers to ensure timely delivery of high-quality software. 

What You'll Be Doing 

• Design and execute comprehensive test plans for Shipthis' ERP software, including unit tests and end-to-end tests  
• Identify, document, and track defects found during testing and verify fixes  
• Design, develop, and execute automated test scripts using industry-standard testing tools. Ensure efficient and effective test coverage for both new features and regression testing. 
• Collaborate with developers to resolve issues and improve the quality of software 
• Work closely with project managers to ensure timely delivery of software  
• Participate in continuous improvement efforts to enhance the testing process and increase efficiency  
• Keep up to date with emerging trends and technologies in software testing 

Requirements: 

• Proficiency in JavaScript and experience writing unit tests and end-to-end tests using modern JavaScript testing frameworks 
• Experienced in automated testing tools such as Selenium, JUnit, TestNG, Cypress or similar. 
• Documentation of test cases and regular update of Test Scripts and Test Data 
• Knowledge of Angular and Python is required 
• Strong analytical and problem-solving skills 
• Attention to detail and ability to identify and track issues effectively to closure 
• Ability to work independently and as part of a team 

Who can apply 

• Bachelor’s/master's degree in engineering/ computer science or any other domain with a strong orientation toward computer programming as part of the coursework or projects 
• Experience in end-to-end Manual/Functional testing of applications (preferably SaaS platforms) 
• Have relevant skills and interests. 
• Female candidates returning to work after a career break are strongly encouraged to apply  
• Can start the job immediately.  

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, gender, sexual orientation, age, marital status, or disability status.  

JOB SYNOPSIS 

• Job Role: Software Tester 
• Location: Bangalore 
• Job type: Full-time, permanent  
• Experience: (2-5) years 
• Industry Type: Software Product 
• Functional Area: Software Development 

Skills: Python,robot Framework,Automation Testing,Selenium

1. B.E/B.Tech Degree from a reputed institution with at least 4 years of relevant experience.
2. Hands-on experience with test automation using Python or Java.
3. Experience with test frameworks such as Robot Framework or TestNG.
4. Traffic generation tools usage such as curl-loader or JMeter.
5. QA engineers for Networking Technology products such as switches, routers, L4-L7 products testing can also apply.
6. Knowledge of public clouds, AWS, Azure or GCP, is desired.
7. Working knowledge in Kubernetes, Docker or Openshift environments required.
8. Hands on experience with Linux.
9. Strong problem solving and debugging abilities.
10. Familiarity with continuous integration tools such as Jenkins or CircleCI.
11. Interest in machine learning (ML) and data science is a plus.

LogiNext is looking for a technically savvy and passionate Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities:

Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Requirements:

Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school 2 to 3 year experince in in data mining, data modeling, and reporting. Understading of SaaS based products and services. Understanding of machine-learning and operations research Experience of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen and problem-solving aptitude Excellent communication and presentation skills Proficiency in Excel for data management and manipulation Experience in statistical modeling techniques and data wrangling Able to work independently and set goals keeping business objectives in mind

As a Sr. Cloud IoT Engineer with Intuitive, you will be responsible for the data acquisition from devices and sensors that allows the device to connect seamlessly with other systems. You will be researching, creating, testing, and documenting IoT solutions with integrated systems and devices to help the analytics and data science initiatives across our enterprise customers. 

You will be working closely with SMEs in Data Engineering and Cloud Engineering, to create solutions and extend Intuitive's DataOps Engineering Projects and Initiatives. The Sr. Cloud IoT Engineer will be a central critical role for establishing the DataOps/DataX data logistics and management for building data pipelines, enforcing best practices, ownership for building complex and performant Data Lake Environments, work closely with Cloud Infrastructure Architects and DevSecOps automation teams. The Sr. Cloud IoT Engineer is the main point of contact for all things related to ingestion of telemetry data and saturation into time series or other databases. In this role, we expect our DataOps leaders to be obsessed with telemetry data and providing insights to help our end customers. 

  KEY REQUIREMENTS: 

• 10+ years’ experience as data engineer. 
• Must have 5+ Years in implementing IoT engineering solutions with multiple cloud providers and toolsets. 
• This is hands on role building data pipelines using Cloud Native and Partner Solutions. Hands-on technical experience with Data at Scale. 
• Must have deep understanding of solutions like AWS IoT Greengrass edge runtime and cloud services to build, deploy, and manage device software across the fleet of devices.  

• Hands on experience with AWS IoT stack like Core, SiteWise, Kinesis, Lamda, Timestream 
• Performance Tuning of streaming telemetry data based with tools like Grafana, Amazon Cloudwatch and QuickSight informed by business requirements. 
• Good working experience on Web Service Integration, RESTful APIs, WebSockets and MQTT.
• Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration    

Your primary focus will be developing web applications and components. You'll implement them with the React.js framework, following generally accepted practices and workflows. You will ensure that you produce robust, secure, modular, and maintainable code. You will coordinate with other team members, including backend developers and UX/UI designers. Your commitment to team collaboration, good communication, and a quality product is crucial.

Day-to-day responsibilities include:

1. Developing new user-facing features using React.js and workflows like Redux.
2. Building reusable components and front-end libraries for future use.
3. Translating designs and wireframes in high-quality code.
4. Optimising components for maximum performance across a vast array of web-capable devices and browsers.
5. Integrating APIs for complete functionality.
6. Write technical documentation.

Responsibilities include:

1. Experience developing desktop and mobile applications for a minimum of 2 years.

2. Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model

3. Thorough understanding of React.js and its core principles

4. Should have experience with Redux and respective middlewares (eg. redux-thunk or redux-saga)

5. Familiarity with RESTful APIs

6. Knowledge of modern authorization mechanisms, such as JSON Web Token

7. Familiarity with modern front-end build pipelines and tools

8. Ability to understand business requirements and translate them into technical requirements

9. Knowledge of D3.js would be plus

Skills Required: HTML/CSS, Javascript, React.js, Redux.

Required Experience: 2 - 4 year of experience

• Experience, preferably with web applications and not websites
• Experience with HTML5, CSS3, JQuery & Javascript
• Experience with JSON data structures