
Key Responsibilities:
- Design, develop, and execute automated test scripts for trading applications.
- Work with product owners and business analysts to understand and write the acceptance test cases.
- Collaborate with developers, product managers, and other stakeholders to understand requirements and create test plans.
- Perform regression, performance, and end to end testing to ensure software reliability.
- Identify, document, and track defects using appropriate tools and methodologies.
- Maintain and enhance existing test automation frameworks for both frontend and backend.
- Report on coverage, functionality, defect aging, closure reports to the stakeholders so that they know the stability of releases.
- Integrate automation cases into CI/CD pipelines
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven 5+ Years experience in automation testing for web and backend applications.
- Strong knowledge of testing frameworks (e.g., Selenium, Cypress, JUnit, TestNG, Playwright).
- Experience with API testing tools (e.g., Postman, SoapUI, RestAssured).
- Familiarity with programming languages such as Java, Python, or JavaScript.
- Understanding of basic SQL queries to validate data in the databases
- Understanding of CI/CD processes and tools (e.g., Jenkins, GitLab CI).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Prior experience with trading applications or core financial services related applications is a big plus

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
Connect with the team
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JOB DESCRIPTION
What’s the job ? |
Software Engineer - FullStack |
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Where do I work? |
Deloitte - Chennai or Bangalore |
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Why are we here? |
As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. |
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Responsibilities Mandatory skills to have |
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As a Program Manager, you will drive strategic, cross-functional initiatives that improve how we plan, operate, and scale. You’ll lead high-impact programs that bring structure, clarity, and momentum to complex business problems, with a strong focus on data-driven, scalable execution.
You will collaborate closely with teams across Growth, Marketing, Operations, and Tech to align priorities, streamline processes, and ensure our systems evolve with the pace of the business.
Key Responsibilities
- Own and drive high-impact strategic programs from ideation to execution, ensuring each initiative contributes to business growth.
- Break down complex, ambiguous problems into structured, actionable plans and lead execution across teams.
- Collaborate with Product, Marketing, Sales, and Operations to align goals, remove bottlenecks, and deliver scalable outcomes.
- Lead cross-functional project planning, development, and execution, translating strategy into measurable results.
- Partner with Analytics and Business Intelligence teams to ensure data-backed decision-making.
- Identify new business improvement opportunities and co-create strategies with leadership.
- Track key performance metrics, identify trends, and drive course-correction using real data.
- Bring clarity to chaos by defining processes, streamlining operations, and ensuring team alignment.
- Create structured documentation, frameworks, and playbooks to make initiatives repeatable and scalable.
What We Are Looking For
- Graduation from a Tier 1 college (IITs, IIMs, NITs, ISB, or equivalent).
- 3–5 years of experience in Program Management, Strategic Planning, Business Operations, or Demand Planning, preferably in high-growth environments.
- Strong business acumen and understanding of how demand planning impacts growth, revenue, and customer experience.
- A structured problem-solver who can simplify complex challenges into scalable solutions.
- Exceptional stakeholder management and cross-functional collaboration skills.
- Solid understanding of forecasting processes, planning tools, and operational levers.
- Ability to thrive in fast-paced, ambiguous startup environments.
What We Offer
- Opportunity to shape how we scale and operate at the next level.
- A chance to be at the forefront of driving change in a fast-growing startup.
- A collaborative, dynamic work environment.
- Competitive compensation and benefits.
Mandatory Criteria :
Experience in Program Management / Strategic Planning / Demand Planning.
● Must be from Tier-1 academic background (IIT, , NIT, NSU preferred).
● Need candidate from Ecommerce and Startup only.
● Strong demand-planning and business acumen with the ability to identify growth and whitespace opportunities.
● Candidate should have proven ability to build programs from 0–1 (Scratch - End) and drive initiative execution.
● Excellent stakeholder management & presentation skills, with strong proficiency in MS Excel.
● Experience in forecasting & planning tools, and the ability to thrive in fast-paced, ambiguous environments.
● Candidate must have Leadership ability to execute cross-functional projects, turning strategy into clear, measurable results.
● Candidate having Founder's Office Experience will be an added advantage.
● Candidate having OTA Channel's (Online Travel Agency) working experience will be considered a strong plus.
Are you passionate about backend development and eager to learn real-world skills? We're looking for a Node.js Intern who is excited to grow, explore, and build with experienced developers.
About the Opportunity:
Join a fast-paced, collaborative environment where learning is the core focus. You’ll work alongside experienced developers, contribute to real projects, and sharpen your skills in Node.js, APIs, databases, and modern backend architectures.
What We’re Looking For:
- Basic knowledge of JavaScript & Node.js
- Curiosity to learn and improve daily
- Eagerness to take ownership and ask questions
- A team player with a positive attitude
You’ll Get To:
- Learn by working on live projects
- Understand backend design and API development
- Collaborate with a supportive and skilled dev team
- Gain experience with tools like Express.js, MongoDB, Git, etc.
Ideal For:
Students, recent grads, or self-taught devs looking for real-world exposure.
Data Collection and Preprocessing:
- Gather and clean data from various sources (e.g., databases, APIs, web scraping).
- Perform data validation and ensure data quality.
- Transform and prepare data for analysis and modeling.
Data Analysis and Modeling:
- Conduct exploratory data analysis (EDA) to identify patterns and trends.
- Develop and implement machine learning models (e.g., regression, classification, clustering).
- Evaluate model performance and optimize for accuracy and efficiency.
- Apply statistical techniques and algorithms to solve business problems.
Data Visualization and Reporting:
- Create compelling visualizations to communicate insights to stakeholders.
- Develop dashboards and reports to track key performance indicators (KPIs).
- Present findings to technical and non-technical audiences.
Responsibilities:
- Writing and reviewing great quality code.
- Understanding functional requirements thoroughly and analysing the client's needs in the context of the project.
- Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it.
- Determining and implementing design methodologies and tool sets.
- Enabling application development by coordinating requirements, schedules, and activities.
- Being able to lead/support UAT and production roll outs.
- Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it.
- Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement.
- Giving constructive feedback to the team members and setting clear expectations.
- Helping the team in troubleshooting and resolving of complex bugs.
- Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
- Passionate about building great solutions.
- Mentoring the team members to meet the client's needs and holding them accountable for high standards of delivery.
- Being able to understand and relate technology integration scenarios and be able to apply these learnings in complex troubleshooting scenarios.
- Relevant expertise in C#, . Net framework/. Net core, Web Services/WCF/Web API, ASP. Net/MVC. JavaScript, OO JavaScript (ES6 onwards), HTML5/CSS, Angular/React/VueJS, OOA and OOD Concepts, Serverside JS: NodeJS/Express.
- Experience in Relational Database: SQL Server/MySQL/Oracle, Cloud Platform: Amazon/Azure/Google Cloud.
- Experience in Testing Frameworks (Web): MSTest/NUnit/Jasmine/Karma/Mocha, Repositories: Git/SVN/TFS, CI/CD Tools: Jenkins/Grunt/Gitlab/Azure DevOps, Container Ecosystem: Docker/Kubernetes/Anthos.
- NoSQL DB: MongoDB/Cassandra/CouchDB/HBase/MarkLogic, Cloud Database: CosmosDB/ IBM DB2/SAP HANA/Amazon Aurora/DynamoDB.
- Knowledge of high-quality professional software engineering practices for agile software development cycle, including coding standards, code reviews, source control management, build processes, testing, and deployment.
- Fundamental knowledge of design patterns.
- Experience in communicating effectively with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
- Languages: C#, JavaScript, OO JavaScript (ES6 onwards).
- App Framework: . Net Framework/. Net Core.
- Web Framework: ASP. Net/MVC.
- Markups: HTML5/CSS.
- CSS Framework: Bootstrap/Foundation/Bulma.
- Frontend Framework: Angular 6 ( ) /React/VueJS.
- API Framework: WebServices/WCF/WebAPI.
- Relational Database: SQL Server/MySQL/Oracle.
- Cloud Platform: Amazon/Azure/Google Cloud.
- Testing Frameworks (Web): MSTest/NUnit/Jasmine/Karma/Mocha.
- Repositories: Git/SVN/TFS.
What You’ll Do
- Synthesize data to provide actionable insights to the leadership and the product team to influence strategy and growth.
- Build dashboards and tools, craft analysis, and tell stories with data to help our teams make better decisions.
- Track user performance data and map it to key learning metrics for deeper insights
- Monitor the performance of new features and recommend iterations based on your findings
- Partner with other stakeholders to scope features that solve user problems
- Ownership of full analytics for the Business Unit/ Performance metric: Planning, structuring, identifying key reports to be made, and automation of the reports
- Monitor and measure launched initiatives [A/B testing] and feed learnings back into the development process
- Prepare reports for the management stating trends, patterns, and predictions using relevant data
Required skills
- Bachelor’s degree in https://www.careerexplorer.com/degrees/mathematics-degree/">mathematics/ https://www.careerexplorer.com/degrees/finance-degree/">finance/https://www.careerexplorer.com/degrees/statistics-degree/">statistics, https://www.careerexplorer.com/degrees/economics-degree/">economics /https://www.careerexplorer.com/degrees/computer-science-degree/">computer science/information technology. Knowledge about EdTech, Learning Science have added advantage
- Strong statistical skills to help collect, measure, organize and analyze data
- 1-4 years of work experience in an EdTech product startup or analytics firm
- Experience in Data Visualisation, Excel, CleverTap & strong MongoDB database management skills
- Ability to learn new tech tools and softwares quickly
- Passion to work with data for a larger social impact
- Familiarity with coding (specifically Node environment) is a plus
- Ability to transform numbers into stories
along with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
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
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production







