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Quantium

AI-powered analytics and GenAI solutions

Engineering Lead

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Engineering degree (B.E. or M.E.) in Computer Science, Information Technology, Electronics and Communications, or equivalent, with 10+ years of industry experience, including at least 3 years in a technical leadership role.
  • A proven track record of designing and delivering enterprise-grade full-stack applications across frontend and backend systems.
  • Experience engineering enterprise-grade applications in the Microsoft technology stack (.NET, C#, ASP.NET Core), on-premises or in the cloud.
  • Experience troubleshooting and solving complex web applications involving complex technology stacks.
  • Experience with technical accountability for managing multiple applications simultaneously and leading a team of around five to eight engineers.
  • Experience with ASP.NET Core MVC and Razor Pages; Angular, React, TypeScript, JavaScript, JavaScript-based build tools, and LESS/SASS.
  • Experience with .NET, .NET Core, C#, API design and development, RESTful services, SQL, NoSQL, and high-volume CRUD concepts.
  • Knowledge of identity, access, and security technologies that apply across applications.
  • Knowledge of Microsoft Azure or Amazon Web Services, containerization, and Kubernetes.
  • Strong knowledge of distributed version control systems such as Git and experience working in Agile teams that practice continuous integration and continuous delivery.
  • Deep understanding of design patterns, data structures, algorithms, object-oriented programming, SOLID, and REST.
  • Strong written and verbal communication skills for working with team members and stakeholders.
  • Excellent judgment and the ability to balance strategic thinking with tactical execution.
  • Ability to take end-to-end ownership, focus on results, maintain high standards, and execute effectively.
  • Ability to mentor, coach, and develop junior and mid-level engineers.
  • Experience designing systems for scalability, reliability, and performance optimization.

Responsibilities

  • Design and architect full-stack solutions, ensuring scalability, performance, and security across frontend and backend systems.
  • Establish and champion coding standards, design patterns, and best practices to drive engineering excellence across the team.
  • Provide technical leadership and mentorship to engineers, fostering growth and capability development aligned with the engineering capability framework.
  • Collaborate with product managers, delivery managers, and stakeholders to translate business requirements into well-architected technical solutions.
  • Lead technical discovery sessions, architecture reviews, and design forums for major features and system components.
  • Own and drive the engineering roadmap for assigned products and services, balancing technical debt reduction with feature development.
  • Design and implement continuous integration and continuous delivery pipelines, ensuring robust deployment practices and operational reliability.
  • Lead incident response, conduct post-mortems, and implement systemic improvements to prevent recurrence.
  • Drive adoption of cloud-native architectures and modern engineering practices across the team.
  • Contribute to cross-team technical initiatives, knowledge sharing, and the broader engineering community.
  • Participate in scrum meetings and partner with team members, including product and delivery managers.

About the Company

Quantium

AI-powered analytics and GenAI solutions

Quantium builds AI systems that run in production, combining traditional analytics, machine learning, and GenAI to support critical operations for large organizations. Its products work by collaborating with a client’s data and existing systems, then creating custom GenAI solutions and transforming business processes so AI can be deployed at scale across the organization. Unlike many firms, Quantium emphasizes long experience (23 years) and a hands-on approach that integrates data, technology, and the client’s priorities to deliver measurable financial results, not just technology. The company aims to help clients deploy AI-enabled solutions across their operations reliably, securely, and at scale, with a track record trusted by major brands and institutions.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Sydney NSW, Australia
Founded
2002

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