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- Excellent communication (Written & Verbal), presentation skills with a positive attitude to engage with stakeholders
- At least 4 years of hands-oncoding experience in test automation, preferably VB script (must be presently working in automation project)
- At least 1 year of experience in Mobile automation (iOS and Android)
- Design, create and maintain Automated Test Scripts for the front end and back-end systems
- Enhance existing/create automation test frameworks
- Knowledge of pipeline execution
- Experience in Agile Scrum methodologies in sprint automation Test design and automation experience in web applications client-server applications mobile applications
- Knowledge of Jira, BDD Cucumber etc.
· A thoroughly experienced OMS resource with preference to Blue Yonder OMS and good exposure in building custom microservices as extension points to OMS possessing good cloud knowledge.
· Extensive backend development knowledge with core Java/J2EE and Microservice based event driven architecture with a cloud based architecture (preferably AWS)
· Should be cognizant of key integrations undertaken in eCommerce and associated downstream subsystems which should include but not limited to different Search frameworks, Payment gateways, Product Lifecycle Management Systems, Loyalty platforms, Recommendation engines, Promotion frameworks etc.
· Recommend someone having a good knowledge of integrations with downstream eCommerce systems like OMS, Store Systems, ERP etc.
· Any additional knowledge on OMS and Store domains will be additional advantage.
· Experience in Service Oriented Architecture - Developing/securely exposing/consuming Web Services – RESTful and integrating headless applications.
· Should be able to understand system end-end, maintain application and troubleshoot issues.
· Good understanding of Data Structures and Entity models.
· Should have understanding of building, deploying and maintaining server based as well as serverless applications on cloud, preferably AWS.
· Expertise in integrating synchronously and asynchronously with third party web services.
· Good to have concrete knowledge of AWS Lambda functions, API Gateway, AWS.
· CloudWatch, SQS, SNS, Event bridge, Kinesis, Secret Manager, S3 storage, server architectural models etc.
· Knowledge on any major eCommerce / OMS platforms will have added advantage.
· Must have a working knowledge of Production Application Support.
· Good knowledge of Agile methodology, CI/CD pipelines, code repo and branching strategies preferably with GitHub or Bitbucket.
· Good knowledge of observability tools like NewRelic , DataDog, Graphana, Splunk etc. with knowledge on configuring new reports, proactive alert settings, monitoring KPIs etc.
· Should have a fairly good understanding of L3 support processes, roles and responsibilities.
· Should work closely with counterparts in L1/L2 teams to monitor, analyze and expedite issue resolutions, reduce stereoptypes, automate SoPs or find avenues for the same by being proactive.
Should be flexible to work with overlap with some part of onsite (PST) hours as part of various client meetings and hand offs with Alo client leadership team
Experience Level:
Senior (8+ years)
Job Description:
We are seeking a detail-oriented and highly skilled Senior Salesforce QA Engineer to lead quality
assurance efforts for our Salesforce platform. This role demands expertise in testing Salesforce
applications, configurations, and integrations to ensure exceptional quality standards. The ideal
candidate will have a strong background in Salesforce testing, automation frameworks, and crossfunctional collaboration.
Key Responsibilities:
Test Strategy and Planning:
• Design and implement comprehensive QA strategies tailored to Salesforce ecosystems,
including Sales Cloud, Service Cloud, Marketing Cloud, and custom solutions.
• Develop detailed test plans, cases, and scripts based on business and functional requirements.
Testing Execution:
• Conduct manual and automated testing for Salesforce customizations, Lightning components,
integrations, and third-party applications.
• Execute functional, regression, smoke, system, and integration tests.
Automation Development:
• Build and maintain automated test suites using tools like Selenium, Provar, or other Salesforcecompatible automation tools.
• Integrate test automation into CI/CD pipelines in collaboration with the development team.
Defect Management:
• Identify, document, and track defects using tools like Jira or Azure DevOps.
• Work closely with developers to resolve issues and ensure product quality.
Collaboration and Leadership:
• Mentor junior QA team members, sharing best practices for Salesforce testing.
• Act as a QA representative in Agile ceremonies such as sprint planning, stand-ups, and
retrospectives.
Quality Metrics and Reporting:
• Define and monitor QA metrics, reporting progress and quality insights to stakeholders.
• Ensure compliance with Salesforce best practices and organizational standards.
Primary Skills:
• Strong knowledge of Salesforce functionalities, Lightning Experience, and declarative features.
• Proven experience with manual and automated testing in Salesforce environments.
• Proficiency in test automation tools like Selenium, Provar, or TestNG.
Secondary Skills:
• Familiarity with Salesforce-specific challenges, such as Governor Limits and SOQL queries.
• Basic knowledge of Apex and Visualforce.
• Experience with test management tools (e.g., TestRail or Zephyr) and CI/CD platforms (e.g.,
Jenkins, GitLab)
Skills:
Design and build web applications with React and TypeScript, ensuring high-quality and responsive
user interfaces.
Write unit tests and integration tests using Jest to ensure code reliability, performance, and
scalability.
Ensure performance optimization, code modularity, and maintainability of applications
Experience:8+ Years
AWS Certification must.
Location:Pan india
Job Description:
1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
b. Improve Model accuracy to deliver greater business impact
c.Estimate business impact due to deployment of model
2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines
4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5.Experience in using Deep learning models with text, speech, image and video data
a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
c.Knowledge of State of the art Deep learning algorithms
6.Optimize and tune Deep Learnings model for best possible accuracy
7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8.Work with application teams, in deploying models on cloud as a service or on-prem
a.Deployment of models in Test / Control framework for tracking
b.Build CI/CD pipelines for ML model deployment
9.Integrating AI&ML models with other applications using REST APIs and other connector technologies
10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
· Technology/Subject Matter Expertise
- Sufficient expertise in machine learning, mathematical and statistical sciences
- Use of versioning & Collaborative tools like Git / Github
- Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
- Develop prototype level ideas into a solution that can scale to industrial grade strength
- Ability to quantify & estimate the impact of ML models.
· Softskills Profile
- Curiosity to think in fresh and unique ways with the intent of breaking new ground.
- Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
- Ability to think ahead, and anticipate the needs for solving the problem will be important
· Ability to communicate key messages effectively, and articulate strong opinions in large forums
· Desirable Experience:
- Keen contributor to open source communities, and communities like Kaggle
- Ability to process Huge amount of Data using Pyspark/Hadoop
- Development & Application of Reinforcement Learning
- Knowledge of Optimization/Genetic Algorithms
- Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
- Optimize and tune deep learning model for best possible accuracy
- Understanding of stream data processing, RPA, edge computing, AR/VR etc
- Appreciation of digital ethics, data privacy will be important
- Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
- Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
- Develop Websites in React JS
- Use the best architecture suited for the project
- Familiar with state management
- Integrate API & SDKs
- Covert design to code
- Knowledge of typescript is a plus
- Write clean, structured code
- Should have good experience in Redux / Next
Location: Candidates from Kerala only
- DOT NETCore,.NET, C#,NET Core, http://asp.net/" target="_blank">ASP.NET Core Rest API, Odata,
- Blazor, HTML, CSS, Bootstrap, JavaScript,
- Development of Docker container-based microservices,
- Azure SaaS Services (Azure Service Bus, Azure Kubernetes Services, CosmosDB, Cognitive Services, Redis),
- Azure DevOps (ALM Platform),
- CI/CD delivery via Azure Pipelines,
- MS-SQL (T-SQL) and No-SQL databases (MongoDB),
- Object-Oriented Programming Principles, SOLID, Design patterns
- Good communication skill
The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a lead developer responsible for the development and management of two of our customer facing websites. You should excel in working with scaling applications and frameworks.
The core skillset required is:
* Wordpress (inbuilt functions, theme and architecture level understanding)
* PHP
* MySQL
* HTML5 / CSS3
* Javascript (and related frameworks/libraries)
* Git
* RESTful APIs
Responsibilities
- Translating designs and functionality into code
- Maintaining dev and live versions of websites
- Writing clean, high-quality, high-performance, maintainable code
- Develop and support software including applications, database integration, interfaces, and new functionality enhancements
- Coordinate cross-functionally with external and internal teams
- Support test and deployment of new products and features
- Participate in code reviews
Qualifications
- Bachelor's degree in Computer Science (or related field)
- 2+ years of relevant work experience
- Expertise in Object Oriented Design, Database Design, and XML Schema
- Ability to multi-task, organize, and prioritize work
Mentorship and Support
* You will work directly with the Co-Founder of the business who will provide direct mentorship both around development as well as (if interested) help you cultivate business-side skills
- Strong object oriented concepts. Experience in structure object oriented modelling with preferred expertise in using tools like Enterprise Architect or similar. Experience in working with TOGAF standards is preferred.
- Experience in architecting the technical scale and scope of high volume, scalable enterprise software solutions including logical and physical landscape requirements with specific attention to design, development, and deployment strategies
- Capability to adapt, learn and work with multiple technology platforms.
- Knowledge in Application Security including Information security principles & realization, OWASP & PCI DSS Compliance ( Security Design & Technology Skills )
- In depth knowledge and experience in large scale database management, data modelling and database design in RDBMS and NoSQL.
- Experience in recommending and implementing DevOps tools for enterprise projects.
- Capability to evaluate tools, technologies and processes, including assessing their strategic benefit in the solution.
- Willingness to work hands-on with engineers to review, troubleshoot coding problems quickly and efficiently.
- Expertise in following technologies – ASP.Net MVC, Web API, ASP.Net Core, Entity Framework, Entity Framework Core, ASP.Net Identity, REST
- Experience in implementing various application deployment models and monitoring the server infrastructure using industry standard tools.
- Experience in docker based deployment models.
- Experience in architecting, developing and deploying cloud based (One or more among AWS, Azure, Google Cloud) enterprise solutions.
- Experience in designing and developing micro-services based applications.
- Experience in designing and developing solutions with TDD (Test Driven Development)



