
Keep the manual test cases updated;
Come up with testing procedures to validate functional, system, and performance requirements for new features;
Ensuring the quality of releases for the features by running the test cases and reporting them;
Work with the Customer Support team to reproduce customer problems and provide solutions;
Set up test environments as required, services and databases;
Write and maintain automated test suites for functional and performance testing;
Participate in the product feature specification with Product Managers, UX engineers and developers to understand the test the same;
Design & build automation smoke, feature & regression tests;
Prepare Automation Test Plans for Service Level Tests, Integration Tests and UI tests as needed;
Write feature use cases in BDD to drive the creation of automated test cases;
Participate in Release/Iteration planning, smoke, feature and regression test planning.
Requirements:
Hands on experience in java, selenium, CI tools like Cucumber / BDD, Jenkins, Maven, GITHub etc.,
Strong skills in automation test framework development using Selenium;
Highly motivated self-starter with a desire to help others and take action;
Experience with one or more programming languages: C#, Java, Node.JS/JavaScript, Go, Python;
At least 2 year of experience in QA automation;
Excellent written and communication skills;
Exposure to API Testing and performance testing using JMeter will be a plus.

About Streamoid Technologies Pvt Ltd
About
Similar jobs
Visionyle is Hiring Senior Data Architect - Data Modeller for Capita
Job Details
Job Title : Senior Data Architect - Data Modeller
Job location : Initial - WFH after it may converted into Hybrid
Payroll firm : Visionyle Solutions ( www.visioyle.com)
Job Type: FTE
Job Description:
Mandatory
- Relevant Experience Required : 7+ years
- Experience in Third normal form, Data Vault, Dimensional (Kimball) data modelling
- Experience / certification in Databricks or Snowflake
Job Description
- Lead the design and implementation of efficient data solutions tailored to meet the specific needs of the clients.
- Design and optimise data architectures following standards and best practices.
- Provide technical leadership to architects, analysts and developers guiding them in the development of high-quality data solutions following best practices.
- Evaluate and recommend appropriate technologies, tools and platforms to support data architecture initiatives.
- Enforce data governance standards, data quality controls and best practices to maintain the accuracy, reliability and security of the data.
- Ensure compliance with regulatory, data privacy, security policies and requirements in Data Management.
- Collaborate with clients to understand requirements and provide guidance.
- Drive initiatives to enhance efficiency and effectiveness.
- Create and maintain comprehensive design documentation to support Project implementation and knowledge transfer.
- Keep up-to-date with industry trends, best practices, and emerging technologies.
- Contribute to proposals and sales efforts
- Mentor and provide guidance to junior team members
Recent Photo
Name as Per PAN
Current CTC :
Expected CTC :
Notice Period / LWD / Joining Time:
Offer in Hand Details (if any) :
Reason for change :
Ok for C2H :
We are seeking a hands-on and technically strong Generative AI Engineer to join the AI Platform Capabilities team as part of a Platform Implementation Partner engagement. In this role, you will design, build, and deploy enterprise-grade Generative AI platform capabilities across multiple Local Business Units operating on both GCP and Azure environments.
The role focuses on engineering production-ready and reusable GenAI components across the full AI stack, including Decision & Orchestration Layers, Execution Runtime Layers, and Build & Lifecycle Layers. You will work closely with implementation partners and Data & AI teams to ensure scalable, enterprise-compliant AI capabilities are delivered within project timelines. This is a deeply technical engineering role with strong emphasis on implementation and operationalization rather than client management.
Key Responsibilities:
- Design and implement enterprise-grade RAG pipelines including ingestion, chunking, embeddings, vector search, retrieval logic, and evaluation frameworks.
- Build multi-agent AI systems with orchestration, semantic routing, memory management, workflow execution, and agent communication capabilities.
- Develop centralized LLM Gateway solutions covering model routing, observability, caching, rate limiting, and policy enforcement.
- Implement scalable GenAIOps, AgentOps, and MLOps frameworks for deployment, monitoring, evaluation, and governance of AI systems.
- Build scalable AI services and REST APIs using Python and deploy them on cloud-native infrastructure.
- Implement AI governance, safety guardrails, audit logging, PII protection, and compliance frameworks.
- Integrate AI solutions into CI/CD pipelines and provision infrastructure using Infrastructure-as-Code practices.
Must-Have Skills:
- Strong hands-on experience with Generative AI, RAG pipelines, embeddings, vector databases, and retrieval evaluation.
- Experience building agentic AI systems including orchestration frameworks, semantic routers, reasoning engines, and memory management.
- Expertise with LLM Gateway implementations, tool integrations, event-driven architectures, and AI runtime systems.
- Solid understanding of GenAIOps, AgentOps, and MLOps principles and tooling.
- Strong experience with GCP AI/ML ecosystem including Vertex AI, Cloud Run, GKE, Pub/Sub, BigQuery, and Cloud Storage.
- Excellent Python programming skills for AI pipelines, APIs, and automation workflows.
- Experience implementing AI governance, safety, compliance, and monitoring frameworks.
- Hands-on experience with CI/CD pipelines and Terraform-based infrastructure automation.
Nice-to-Have Skills:
- Experience working in multi-cloud environments across GCP and Azure.
- Familiarity with LangChain, LlamaIndex, RAGAS, DeepEval, or Vertex AI Rapid Eval.
- Exposure to Knowledge Graphs, Document Intelligence platforms, and Agent Marketplace concepts.
- Experience with enterprise AI-ready data layers including Vector Stores, Feature Stores, and Embedding Infrastructure.
- BFSI domain knowledge including regulatory compliance and data sovereignty considerations.
- Google Cloud Professional Machine Learning Engineer certification.
- Experience working in large-scale enterprise transformation programs.
Strong Senior GenAI / AI Backend Engineer Profiles
Mandatory (Experience 1) – Must have 4+ years of total software development experience, with at least 2+ years working on AI/LLM-based features in production
Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems
Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects
Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines
Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases
Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)
Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation
Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects
Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations
Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking
Mandatory (Company) – Product companies / startups, preferably Series A to Series D
Mandatory (Note) - Candidate's overall experience should not be more than 7 Yrs
Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks
Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience
- Must have relevant experience of 3/7 years in working with Shopify and Shopify Plus stores
- Strong hands to Install & Customize new Shopify
- Basic experience in writing Ruby scripts to runpromotions
- Experience in integrating external API’s
- Proficiency in 3rdparty integration like ERP- Netsuite, SAP, Odoo, Microsoft Dynamics, Sage, Epicor etc.
- Experience in Implementing Shopify Ajax API, Admin APIs and configuring third partyapps
- Experience working with the following technologies: JavaScript (JQuery), XML, JSON, SQL, PHP, CSS3
- Good knowledge of front-end development and liquid programming language
- Knowledge in other E-Commerce platforms like Magento, woo-commerce, Big-commercewill be
- Hands on Experience with OOP PHP (2+years)
- Familiarity with GIT
- Understanding of building custom, private and embeddedapps
- Demonstrated ability to adapt and work with team members of various experience levels
- Ability to work with minimal direction with a focus on customer satisfaction
- Communication should be excellent.
We are hiring BDM/BDEs with 1- 6 years of experience in IT service-based sales. Must have strong English skills, lead generation experience, and a proven track record in domestic/international client handling in IT Services.
Job responsibilities
- Performs development, deployment, administration, management, configuration, testing, and integration tasks related to the cloud security platforms.
- Develops automated security and compliance capabilities in support of DevOps processes in a large-scale computing environment for the storage program within the firm.
- Champions a DevOps security model so that security is automated and elastic across all platforms and cultivate a cloud first mindset in transitioning workloads.
- Leverages DevOps tools to build, harden, maintain, and instrument a comprehensive security orchestration platform for infrastructure as code.
- Provides support to drive the maturity of the Cybersecurity software development lifecycle and develop & improve the quality of technical engineering documentation.
- Makes decisions of a global, strategic nature by analyzing complex data systems and incorporating knowledge of other lines of business & JPMC standards.
- Provides quality control of engineering deliverables, technical consultation to product management and technical interface between development and operations teams.
Required qualifications, capabilities, and skills
- Formal training or certification on Security engineering and 3+ years applied experience
- Proficiency in programming languages like Python or Java with strong coding skills
- Understanding of one or more Public Cloud platforms( AWS/ GCP/ Azure)
- Experience with highly scalable systems, release management, software configuration, design, development, and implementation is required
- Ability to analyzing complex data systems – failure analysis / root cause analysis, developing, improving, and maintaining technical engineering documentation
CloudBees provides the leading software delivery platform for enterprises, enabling them to continuously innovate, compete, and win in a world powered by the digital experience. Designed for the world's largest organizations with the most complex requirements, CloudBees enables software development organizations to deliver scalable, compliant, governed, and secure software from the code a developer writes to the people who use it. The platform connects with other best-of-breed tools, improves the developer experience, and enables organizations to bring digital innovation to life continuously, adapt quickly, and unlock business outcomes that create market leaders and disruptors.
CloudBees was founded in 2010 and is backed by Goldman Sachs, Morgan Stanley, Bridgepoint Credit, HSBC, Golub Capital, Delta-v Capital, Matrix Partners, and Lightspeed Venture Partners. Visit http://www.cloudbees.com/">www.cloudbees.com and follow us on https://twitter.com/CloudBees?s=20">Twitter, http://www.linkedin.com/company/cloudbees">LinkedIn, and https://www.facebook.com/CloudBees">Facebook.
RESPONSIBILITIES:
- Monitor and triage IT Helpdesk requests through the Ticketing system and escalation Slack Channel and Emails
- Provide technical support and consultation services to end-users with issue identification, reproduction, and resolution via ticketing system, phones, and/or chat.
- Prepare and ship computers to all users based on company standard policy
- Responsible for general IT operations and user support
- Collaborate with Engineering Operations, and security teams to coordinate on IT policies to make effective business decisions
- Design, plan and implement systems automation as required for better efficiency to support team projects
- Accurately record transactions and processes using a designated tracking software
- Fully document technical specifications solutions of supported applications, workflow processes, and training material to a non-technical audience
- Develop, deploy and maintain system monitoring to enhance and scale the quality of IT support
- Develop, deploy and maintain the automation and user life cycle workflow
- Provides implementation and post-implementation triage and support of business software solutions by programming and/or configuring enhancements to new or packaged-based systems and applications.
- Leads systems' incident support and troubleshooting for complex and non-complex issues.
- Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers;
- Provides insight into recommendations for technical solutions that meet design and functional needs.
- Completes work assignments and supports business-specific projects by applying expertise in the subject area;
- Ensures new and existing software solutions are developed with insight into industry best practices, strategies, and architectures.
- Develops and executes unit testing to identify application errors and ensure software solutions meet functional specifications.
- Develops, configures, or modifies basic to moderately complex integrated business application solutions by designing and coding component-based applications using programming languages.
REQUIREMENTS:
- Strong customer service skills including verbal and written communications; customer-focused with the ability to effectively communicate with management, co-workers, and customers.
- Experience administering SaaS applications like Google workspace, Atlassian, Okta, Slack
- Hands-on experience working and supporting Mac and Windows OS
- Experience and knowledge of scripting languages to develop automation workflows and integrations for repetitive manual tasks
- Superior time management skills including a sense of urgency and proactive approach.
- Capable to manage multiple tasks/ projects simultaneously
- Excellent analytical and problem-solving skills.
- Demonstrated ability to work independently and in a team environment.
- Self-motivated to research resolutions to technical issues independently and learn new technologies with limited guidance
- Familiar with SSO/SAML, SCIM, 2FA, and Oauth flows
- Experience with API integrations
- Flexibility to work during the holidays and an on-call rotation
PROFESSIONAL BACKGROUND / SKILLS:
- Bachelor's degree in Computer Science or related degree or related experience required.
- CompTIA A+ certification a plus
- 6+ years of relevant technical experience in a Help Desk, System Admin, or Desktop Support role
- Strong Knowledge of Google Suite, Atlassian, and Okta administration
- Strong Knowledge of scripting languages (Python, Google Script, etc)
- Strong computer aptitude and understanding of IT concepts, operating systems, business applications, and network systems.
- Experience in software development and knowledge of scripting languages.
- Strong ability to evaluate the impact of new needs, as well as associated applications, systems, and processes
- Strong ability to work both individually and in a team environment
At CloudBees, we truly believe that the more diverse we are, the better we serve our customers. A global community like Jenkins demands a global focus from CloudBees. Organizations with greater diversity—gender, racial, ethnic, and global—are stronger partners to their customers. Whether by creating more innovative products, or better understanding our worldwide customers, or establishing a stronger cross-section of cultural leadership skills, diversity strengthens all aspects of the CloudBees organization.
In the technology industry, diversity creates a competitive advantage. CloudBees customers demand technologies from us that solve their software development, and therefore their business problems, so that they can better serve their own customers. CloudBees attributes much of its success to its worldwide work force and commitment to global diversity, which opens our proprietary software to innovative ideas from anywhere. Along the way, we have witnessed firsthand how employees, partners, and customers with diverse perspectives and experiences contribute to creative problem solving and better solutions for our customers and their businesses.
- Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience.
- Own code for the products with responsibilities including but not limited to designing, developing, testing, maintenance of products.
- Building RESTful services and do DevOps.
- Talking to customers and business teams to suggest improvement areas in product flows.
- Create peer learnings for team members and build context for new teammates
- Help with building the company's tech team and iterating on the hiring framework.
- Provide regular feedback to your team (peers and managers) to ensure continuous improvement.
- Keeping abreast with the latest technologies and working on your skills regularly.
Skills & Requirements
- Good knowledge and experience of working with backend systems; designing server-side architecture, including production maintenance experience are must-haves.
- At least 1-8 years of experience in any programming languages like Java, Ruby, PHP, Python, and Node.js(Node.js preferred).
- Understanding of micro-services-oriented architecture.
- Experience with Databases design (SQL, NoSQL) and analytics
- Experience in driving and delivering complex features/software modules from technical design to launch.
- Expertise with unit testing & Test Driven Development (TDD)
- Have empathy for the users you build for
Good to have
- Experience in the fintech industry
- Experience leading design and implementation of robust and secure web services
- To appoint Block Sales Manager in their respective Districts.
- To manage sales operations in assigned district to achieve revenue goals.
- To supervise sales team members on daily basis and provide guidance whenever needed.
- To identify skill gaps and conduct trainings to sales team.
- To work with team to implement new sales techniques to obtain profits.
- To assist in employee recruitment, promotion, retention and termination activities.
- To conduct employee performance evaluation and provide feedback for improvements.
- To contact potential customers and identify new business opportunities.
- To stay abreast with customer needs, market trends and competitors.
- To maintain clear and complete sales reports for management review.
- To build strong relationships with customers for business growth.
• Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
• Experience in selecting features, building and optimizing classifiers using machine learning techniques.
• Prior experience with data visualization tools, such as D3.js, GGplot, etc..
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Basic understanding of the banking industry is value add
Develop, process, cleanse and enhance data collection procedures from multiple data sources.
• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
• Work closely with product teams to implement algorithms with Python and/or R.
• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
• Facilitate integration with enterprise applications using APIs to enrich implementations











