5.0 - 9.0 years

0 Lacs

pune, maharashtra

On-site

As a Data and Software Engineer at Barclays, you will be responsible for building and maintaining systems that collect, store, process, and analyze data. This includes developing data pipelines, data warehouses, and data lakes to ensure accuracy, accessibility, and security of all data. To succeed in this role, you should have experience in developing responsive web interfaces and complex UI using technologies like HTML5, CSS3, SCSS, JavaScript (ES6+), and Angular 16+. Proficiency in Angular, React, TypeScript, JavaScript, and CSS/SCSS is essential. Additionally, experience with visualization tools like HiCharts, D3.js, or Chart.js is highly valued. Candidates with a deep understanding of design systems, component libraries, and front-end architecture will be preferred. Experience in designing for AI/ML platforms, data-heavy dashboards, or GenAI interfaces using tools like Figma or Adobe XD is desirable. In this position based in Pune, your key responsibilities will include building and maintaining data architecture pipelines, designing data warehouses and data lakes, developing processing and analysis algorithms, and collaborating with data scientists on machine learning models. Depending on the leadership level, you may be expected to contribute to strategy setting, resource planning, and policy management. If in a leadership role, you should demonstrate leadership behaviors such as listening, inspiring, aligning, and developing others. For individual contributors, being a subject matter expert, guiding technical direction, and training less experienced specialists will be crucial. Overall, all colleagues at Barclays are expected to embody the company values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive in their daily actions.,

Posted 1 day ago

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Solution Architect Techvantage Systems

10.0 - 14.0 years

0 Lacs

thiruvananthapuram, kerala

On-site

You are an experienced Solution Architect with a solid background in software architecture and a good understanding of AI-based products and platforms. Your main responsibility will be to design robust, scalable, and secure architectures that support AI-driven applications and enterprise systems. In this role, you will collaborate closely with cross-functional teams, including data scientists, product managers, and engineering leads, to ensure the alignment of business needs, technical feasibility, and AI capabilities. Your key responsibilities will include architecting end-to-end solutions for enterprise and product-driven platforms, such as data pipelines, APIs, AI model integration, cloud infrastructure, and user interfaces. You will guide teams in selecting appropriate technologies, tools, and design patterns for building scalable systems. Additionally, you will work with AI/ML teams to understand model requirements and facilitate their smooth deployment and integration into production environments. In this role, you will define system architecture diagrams, data flow, service orchestration, and infrastructure provisioning using modern tools. Furthermore, you will collaborate with stakeholders to translate business requirements into technical solutions, emphasizing scalability, performance, and security. Your leadership will be crucial in promoting best practices for software development, DevOps, and cloud-native architecture. You will also conduct architecture reviews to ensure compliance with security, performance, and regulatory standards. To be successful in this role, you should have at least 10 years of experience in software architecture or solution design roles. You should demonstrate expertise in designing systems using microservices, RESTful APIs, event-driven architecture, and cloud-native technologies. Hands-on experience with major cloud providers like AWS, GCP, or Azure is essential. Familiarity with AI/ML platforms and components, data architectures, containerization, DevOps principles, and the ability to lead technical discussions are also required skills. Preferred qualifications include exposure to AI model lifecycle management, infrastructure-as-code tools like Terraform or Pulumi, knowledge of GraphQL, gRPC, or serverless architectures, and previous experience in AI-driven product companies or digital transformation programs. In return, you will have the opportunity to play a high-impact role in designing intelligent systems that drive the future of AI adoption. You will work alongside forward-thinking engineers, researchers, and innovators, with a strong focus on career growth, learning, and technical leadership. The compensation offered is competitive and reflective of the value you bring to the role.,

Posted 2 days ago

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