Lead Data Architect - Snowflake

About the Role

As an SDET II, you'll own significant parts of our test infrastructure and drive quality strategy across the engineering team. You'll design testing approaches for complex features, mentor junior engineers, and make architectural decisions that impact how we approach automation at scale.

What You'll Do

• Architect and implement test frameworks and infrastructure
• Design testing strategies for new features and platform capabilities
• Mentor SDET I engineers and conduct technical code reviews
• Refactor and optimize existing test suites for maintainability and performance
• Make architectural decisions about test design patterns and abstractions
• Build and manage AWS-based test environments and infrastructure
• Integrate testing earlier in the development lifecycle through cross-team collaboration
• Optimize CI/CD pipeline performance and test execution times
• Develop custom tooling and reporting to surface quality insights

Technical Requirements

Core Skills:

• Advanced TypeScript expertise: generics, decorators, advanced typing patterns, type inference
• Deep understanding of asynchronous programming, concurrency, and race condition prevention
• Strong software design principles with domain-driven design (DDD) approach
• Extensive experience with Playwright including deep knowledge of fixtures architecture
• Expert-level Git, GitHub, and distributed version control workflows
• Layered architecture design: understanding PCOM (Page Component Object Model) and POM patterns
• Object-oriented design in test frameworks—building scalable abstractions over linear scripts
• API testing and orchestration (REST/GraphQL integration with UI workflows)

Infrastructure & DevOps:

• AWS: EC2 configuration, CloudWatch log analysis, debugging cloud environments
• Terraform for infrastructure as code (plus)
• Docker: containerization, docker-compose, image management
• CI/CD debugging: analyzing pipeline failures, optimizing execution
• Advanced reporting: Allure configuration, Playwright HTML reports, custom reporting solutions

Additional Experience:

• Test infrastructure development and framework architecture
• Design patterns implementation (Factory, Builder, Facade, Composite)
• Performance optimization at scale
• npm ecosystem and package management

Responsibilities

Develop and maintain web and backend components using Python, Node.js, and Zoho tools

Design and implement custom workflows and automations in Zoho

Perform code reviews to maintain quality standards and best practices

Debug and resolve technical issues promptly

Collaborate with teams to gather and analyze requirements for effective solutions

Write clean, maintainable, and well-documented code

Manage and optimize databases to support changing business needs

Contribute individually while mentoring and supporting team members

Adapt quickly to a fast-paced environment and meet expectations within the first month

Leadership Opportunities

Lead and mentor junior developers in the team

Drive projects independently while collaborating with the broader team

Act as a technical liaison between the team and stakeholders to deliver effective solutions

Selection Process

1. HR Screening: Review of qualifications and experience

2. Online Technical Assessment: Test coding and problem-solving skills

3. Technical Interview: Assess expertise in web development, Python, Node.js, APIs, and Zoho

4. Leadership Evaluation: Evaluate team collaboration and leadership abilities

5. Management Interview: Discuss cultural fit and career opportunities

6. Offer Discussion: Finalize compensation and role specifics

Experience Required

5- 7 years of relevant experience as a Software Developer

Proven ability to work as a self-starter and contribute individually

Strong technical and interpersonal skills to support team members effectively

Strong Technical Project Manager / Program Manager / Delivery Excellence profile

Mandatory (Experience 1) – 9+ years of overall experience, with minimum 5+ years in Project/Program Management / PMO / Delivery Governance roles in SaaS or technology-driven organizations

Mandatory (Experience 2) – Hands-on experience managing Agile delivery across multiple teams, including sprint planning, tracking, retrospectives, and release governance using Jira / Confluence

Mandatory (Experience 3) – Prior experience in at least one technical function (e.g., QA, development, testing, or technical project coordination) to effectively interface with engineering teams

Mandatory (Core Skills 1) – Strong communication, stakeholder management, and executive-level reporting capability (interfacing with CTO / leadership teams)

Mandatory (Core Skills 2) – Ability to coach cross-functional teams in Agile methodologies (Scrum/Kanban) and drive organization-wide Agile maturity

Mandatory (Company) - B2B SaaS or technology-driven Companies only (Preferred B2B SaaS in RetailTech, ERP, OMS, POS, E-commerce SaaS, Logistics)

Mandatory (Location)—Candidate should be based out of Delhi NCR or nearby.

Preferred

Preferred (Certification) – PMP, CSM, or CMMI-related certifications are a plus

Preferred (Quality Frameworks) – Exposure to CMMI / ISO or enterprise-level quality governance frameworks

Job Description:

Role: Data Scientist

Responsibilities:

 Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

 Perform data cleaning, feature engineering, and exploratory data analysis.  

Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

Ability to translate complex machine learning problem statements into specific deliverables and requirements.

Should have worked with major cloud platforms such as AWS, Azure or GCP.

Working knowledge of SQL and no-SQL databases.

Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

Strong understanding of evaluation and monitoring metrics for machine learning projects.

At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand.

Responsibilities

• Lead the CV and DS Team
• Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant).
• Your work will include formulation and development of a Machine Learning models to solve the underlying problem.
• You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo
• Statistical data modelling and machine learning research.
• Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes
• Conduct applied research to model complex dependencies, statistical inference and predictive modelling
• Technological conception, design and implementation of new features
• Quality assurance of the software through planning, creation and execution of tests
• Work with a cross-functional team to define, build, test, and deploy applications

Requirements:

• Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields.
• 3-4 years of experience with computer vision and data science.
• Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques).
• Experience building production-quality and well-engineered Computer Vision and Data Science products.
• Experience in image processing, algorithms and neural networks.
• Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform
• Solid Python engineering skills and experience with Python, Tensorflow, Docker
• Cooperative and independent work, analytical mindset, and willingness to take responsibility
• Fluency in English, both written and spoken.

Qualifications:

- Bachelor's degree in Computer Science Engineering, or a related field (or equivalent experience).

- At least 7 years of experience in back-end development, specifically with Node.js.

- Strong understanding of JavaScript and TypeScript would be a plus.

- Experience with asynchronous programming and event-driven architecture.

- Familiarity with RESTful APIs and/or GraphQL.

- Proficient in working with databases (e.g., PostgreSQL).

- Knowledge of version control systems, particularly Git.

- Experience with cloud services (e.g., Azure Cloud) and containerization tools (e.g., Docker).

- Strong problem-solving skills and the ability to work independently as well as part of a team.

- Excellent communication and collaboration skills.

Key Areas of Responsibility

• Participate in project discovery/analysis, design, and deployment planning.
• Document business requirements and functional specifications using Microsoft’s Surestep methodology (GAP Fit analysis and Functional Requirements Documentation).
• Analyze client business processes and recommend ways to improve or re-engineer for optimum performance.
• Implement and deploy Dynamics 365 Business Central software (design, configure, train, support).
• Understand user and system requirements and identify specific enhancement customizations if necessary.
• Provide data migration and conversion services.
• Deliver application training in online and in a one-on-one environment.
• Provide basic technical support for project life cycle as well as complex support issues.
• Manage client expectations, the project team (internal and external) all while providing superior customer service.
• Work with application developers during design, development, and testing phases.
• Draft end user documentation.
• Assist in presales demos and related activities

Required Candidate Profile:

• Should have worked in multiple versions of Dynamics NAV and D365 Business Central for international clients.
• Should have completed at least 6-7 full life cycle implementation (Full Life Cycle = General Ledger, Accounts Receivable, Accounts Payable, Fixed Assets, Budget, Cash flow, SCM, Inventory, Decret Manufacturing).
• Background or strong career interest in finance or business analysis.
• Possess a strong, professional work ethic.
• Excels at team collaboration.
• Demonstrated problem-solving and decision-making skills.
• Strives to provide exceptional customer service and high client satisfaction.
• Strong verbal, written and organizational skills.
• Must be fluent in English – both verbal and written

Title:                            Test Automation Engineer (Senior)

Type:                            Permanent

Region:                      India (Mumbai)

Location: Hybrid

About the Role:

Join our dynamic QA Automation Team and take your career to the next level! We are looking for Senior Level Automation Engineers to join our team and grow with us long term. You will have the opportunity to work with cutting-edge technologies and bring your expertise in using Bash, JavaScript, testing APIs, web services, and webpages, Cloud (Azure, AWS, GCP. This is a hybrid role, meaning you will need to spend 1-2 days in the office each week.

Responsibilities:

·       Develop and execute automation scripts using open-source tools

·       Identify, record, document thoroughly and track bugs

·       Perform thorough regression testing when bugs are resolved

·       Monitor debugging process results

·       Track quality assurance metrics, like defect densities and open defect counts

·       Create detailed, comprehensive, and well-structured test plans and test cases

·       Estimate, prioritize, plan, and execute testing activities

·       Stay up to date with new testing tools and test strategies

Required Experience:

·       At least 5 years’ experience in test automation for Senior Level.

·       Proven work experience in web-based and/or mobile based quality assurance best practices

·       Strong knowledge of software QA methodologies and processes

·       Strong experience with automated testing tools (e.g., JMeter, Selenium)

·       Scripting experience using Bash, JavaScript or NodeJS

·       Experience in testing APIs, webservices, and webpages

·       Experience in writing clear, concise, and comprehensive test plans and test cases.

·       Experience in working in an Agile/Scrum development process

·       Knowledge of Continuous Integration and Continuous build

·       Experience working with Cloud (Azure, AWS, GCP)

·       Advanced experience in defect management and prioritization

·       Excellent analytical skills, with demonstrable experience driving issues to resolution

·       A good eye for identifying opportunities to add greater value and accuracy to our current testing processes

·       Experience with High Traffic Public Web Sites, security testing, scalability, and performance challenges of server-side code, knowledge of Kubernetes, Docker, or any container orchestration

About Ovyo

Ovyo works globally with companies in the TV, Media & Networks industries including household content brands and operators. Our people provide consulting services to build the platforms, test the apps, and drive the programmes that shape the way the world watches video and connects. Our management team is in the UK, and we have technical, and operations teams based in India, South Africa, Europe, and the Americas.

What you need to have: