QA Automation Lead Engineer – Network Security & Blockchain/Web3.js

Key Responsibilities 

Product & UI/UX Design: 

• Own end-to-end design of product experiences - flows, wireframes, mockups, prototypes, and final UI, 

• Create intuitive, accessible, and visually compelling interfaces for web and mobile platforms. 

• Work cross-functionally with product managers and engineers to bring features from idea to launch. Maintain and evolve a scalable design system and component library.

Brand Identity & Visual Design: Define and refine companie’s visual identity - logos, colors, typography, and brand guidelines. Ensure consistency across all brand touchpoints, including product, web, and marketing.

Marketing Collateral: Design assets for social media, performance ads, email campaigns, blog illustrations, and investor decks.

Requirements: 

• Experience: 4+ years in UI/UX design with a strong portfolio showcasing end-to-end product design and visual storytelling. 

• Education: Degree in design, visual communication, or a related field. 

• Design Foundations: Solid grasp of design principles, layout, typography, color theory, and accessibility. 

• Tools: Proficient in Figma (mandatory), Adobe Creative Suite (Photoshop, Illustrator, After Effects etc.) and Framer (optional) 

• Prior experience in financial products or complex dashboards is a strong plus. 

• Self-starter, detail-oriented, deadline-driven, and able to work methodically in a fast-paced environment.

About the company:

Combining cutting-edge ML models with expert human expertise, our client provides personalized financial planning to help you achieve your goals. Whether you're building wealth, optimizing taxes, planning for retirement, or leaving a legacy, Alphanso empowers you to plan smarter for your future goals.

Why This Role Matters

We’re looking for a Principal Engineer to lead the architecture and execution of our GenAI-powered, self-serve marketing platforms. You will work directly with the CEO to shape, build, and scale products that change how marketers interact with data and AI. This is intrapreneurship in action — not a sandbox innovation lab, but a real-world product with traction, velocity, and high stakes.

What You'll Do

• Co-own product architecture and direction alongside the CEO.
• Build GenAI-native, full-stack platforms from MVP to scale — powered by LLMs, agents, and predictive AI.
• Own the full stack: React (frontend), Node.js/Python (backend), GCP (infra), BigQuery (data), and vector databases (AI).
• Lead a lean, high-caliber team with a hands-on, unblock-and-coach mindset.
• Drive rapid iteration with rigor, balancing short-term delivery with long-term resilience.
• Ensure scalability, observability, and fault tolerance in multi-tenant, cloud-native environments.
• Bridge business and tech — aligning execution with evolving user and market insights.

What You Bring

• 8–12 years of experience building and scaling full-stack, data-heavy or AI-driven products.
• Fluency in React, Node.js, and Google Cloud (Functions, BigQuery, Cloud SQL, Airflow, etc.).
• Hands-on experience with GenAI tools (LangChain, OpenAI APIs, LlamaIndex) is a bonus.
• Track record of shipping products from ambiguity to impact.
• Strong product mindset — your goal is user value, not just elegant code.
• Architectural leadership with ownership of engineering rigor and scaling best practices.
• Startup or founder DNA — you’ve built things from scratch and know how to move fast without breaking things.

Who You Are

• A former founder, senior IC, or tech lead who’s done zero-to-one and 1-to-n scaling.
• Hungry for ownership and velocity — frustrated by bureaucracy or stagnation.
• You code because you care about solving real problems for real users.
• You’re pragmatic, hands-on, and grounded in first principles.
• You understand that great software isn't just shipped — it's hardened, maintained, and evolves with minimal manual effort.
• You’re open to evolving into a founding engineer role with influence over the tech vision and culture.

What You Get

• Equity in a high-growth product-led startup.
• A chance to build global products out of India with full-stack and GenAI innovation.
• Access to high-context decision-making and direct collaboration with the CEO.
• A tight, ego-free team and a culture that values clarity, ownership, learning, and candor.

Why YOptima?

YOptima is redefining how leading marketers unlock growth through full-funnel, AI-powered media solutions. As part of our growth journey, this is your opportunity to own the growth charter for leading brands and agencies globally and shape the narrative of a next-generation marketing platform.

Ready to lead, build, and scale?

We’d love to hear from you.

Role Description

This is a full-time client facing on-site role for a Data Scientist at UpSolve Solutions in Mumbai. The Data Scientist will be responsible for performing various day-to-day tasks, including data science, statistics, data analytics, data visualization, and data analysis. The role involves utilizing these skills to provide actionable insights to drive business decisions and solve complex problems.

Qualifications

• Data Science, Statistics, and Data Analytics skills
• Data Visualization and Data Analysis skills
• Strong problem-solving and critical thinking abilities
• Ability to work with large datasets and perform data preprocessing
• Proficiency in programming languages such as Python or R
• Experience with machine learning algorithms and predictive modeling
• Excellent communication and presentation skills
• Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Statistics, Data Science)
• Experience in the field of video and text analytics is a plus

Job Description:

As Azure Lead Data Engineer, you will have to take over the key activities of designing, coding, and implementing data solutions in the platform. With a focus on leveraging DBT for data transformation and modelling, as well as expertise in MDM tools, you will play a pivotal role in architecting scalable and performant data pipelines and warehouses. You will collaborate closely with cross-functional teams to understand business requirements, architect data solutions, and ensure successful project delivery. You will be leading a team of skilled engineers who will collectively deliver scalable, highly dependable data solutions that can cater to the customers.

Responsibilities:

• Lead the design, development, and implementation of data solutions on the Microsoft Azure platform.
• Architect data pipelines, data warehouses, and data lakes using Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
• Design and implement ETL processes to extract, transform, and load data from various sources into Azure data platforms, utilizing DBT for data transformation.
• Develop scalable and efficient data models to support analytics, reporting, and machine learning initiatives, with a strong emphasis on using DBT for modelling.
• Lead performance optimization efforts to ensure the efficient processing of large volumes of data.
• Mentor and coach junior team members, providing guidance on best practices, technical expertise, and professional development.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Stay abreast of emerging technologies and industry trends in data engineering and cloud computing.

Qualifications:

• BE Computer Science or a related field.
• ~10 years of experience in data engineering, designing, and implementing data solutions on the Microsoft Azure platform.
• Deep understanding of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
• Proficiency in DBT (Data Build Tool) for data transformation and modelling.
• Experience working with any Master Data Management (MDM) tools.
• Experience with data governance and metadata management tools such as Azure Purview or similar.
• Proficiency in programming languages such as Python, Scala, or Java.
• Experience with big data technologies such as Hadoop, Spark, and Kafka.
• Strong leadership skills with the ability to lead and mentor a team of engineers.

About Kloud9:

Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.

Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.

At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.

Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.

We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.

What we are looking for:

● 3+ years’ experience developing Data & Analytic solutions

● Experience building data lake solutions leveraging one or more of the following AWS, EMR, S3, Hive& Spark

● Experience with relational SQL

● Experience with scripting languages such as Shell, Python

● Experience with source control tools such as GitHub and related dev process

● Experience with workflow scheduling tools such as Airflow

● In-depth knowledge of scalable cloud

● Has a passion for data solutions

● Strong understanding of data structures and algorithms

● Strong understanding of solution and technical design

● Has a strong problem-solving and analytical mindset

● Experience working with Agile Teams.

● Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

● Able to quickly pick up new programming languages, technologies, and frameworks

● Bachelor’s Degree in computer science

Why Explore a Career at Kloud9:

With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers.

• Previous working experience as a PHP Developer for 3 years
• BS/MS  in Computer Science, Engineering or a similar relevant field
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Familiarity with limitations of PHP as a platform and its workarounds
• Proficient in PHP, HTML5, JavaScript, JQuery Expert
• Experience with PHP MVC frameworks (Symfony)

• 3-6 years of relevant work experience in a Data Engineering role.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing data pipelines, architectures, and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• A good understanding of Airflow, Spark, NoSQL databases, Kafka is nice to have.
• Premium Institute Candidates only