We are looking for a Mid-Level Full Stack Engineer with strong hands-on expertise in the .NET ecosystem and working experience in Java (Spring Boot). This role demands deep technical ownership, strong problem-solving skills, and the ability to learn quickly and make things work in complex systems.

The engineer is expected to actively leverage AI tools to improve development speed, code quality, test coverage, and security posture.

Key Responsibilities

• .NET & Backend Engineering (Core)
• Design, develop, and maintain applications using .NET and C#
• Build and maintain WPF applications using MVVM architecture
• Develop and consume RESTful APIs
• Write clean, testable, and maintainable code following SOLID principles
• Debug and resolve complex functional and performance issue

As a Software Engineer, you will be responsible for the entire software life cycle—from design, development, testing, and release to ongoing maintenance. You will translate business needs into functional software and build solutions that are scalable, maintainable, and adaptable. By focusing on technical excellence, automation, and well-structured design, you will contribute to continuous delivery and high-quality software development.

You will work in a non-hierarchical environment that fosters collaboration, transparency, and trust. With full ownership and accountability, you will be focused on creating value, driving growth, and delivering exceptional customer and business outcomes.

WHO YOU’LL WORK WITH
You will be part of the Omni Product Discovery team within the Backend Center of Excellence (CoE) at H&M Group. We empower customers with a seamless shopping experience through intuitive and self-guided product discovery available on their own devices, enabling omni-availability both in-store and online.

You will collaborate closely with cross-functional teams, including developers, product managers, UX designers, and business stakeholders to create innovative and scalable solutions.

Responsibilities

1. Participation in development and best practices for industrialization
2. Implementation of complex developments and new features
3. Researching solutions through technology monitoring, studies and prototypes on new tools, languages or practices that bring value to end users
4. Drafting technical documentation
5. Focus on development quality to facilitate maintenance

Mandatory Technical Skills

1. Solid mastery of Java/Spring
2. Good knowledge of the GitLab platform
3. Use of containerization solutions (Docker & Kubernetes)
4. Good to have Angular experience

Methodological and interpersonal skills

1. Experience with agile methodology
2. Ability to work in an international environment (good level of English required)
3. Keen interest in:
4. Software engineering transformation (DevSecOps, continuous delivery, automation)
5. Cloud transformation (containers, micro-services, orchestration)

We are seeking an enthusiastic and detail-oriented Product Owner to join our dynamic team in Bengaluru, India. As a Product Owner, you will play a pivotal role in bridging the gap between our product vision and development execution. 

The Product Owner will lead the development of fraud detection and prevention products within a FinTech environment. This role focuses on maximizing product value by defining and prioritizing features that reduce financial crime, improve customer trust, and meet regulatory requirements. You will work closely with engineering, data science, risk, and compliance teams to deliver scalable, real-time fraud solutions.

This is an excellent opportunity for a visionary professional who thrives in an agile environment and is passionate about building products that make a real impact.

• Partner with Product Managers to develop, maintain, and communicate a clear and compelling product roadmap aligned with strategic business objectives
• Create and prioritize a healthy, well-organized product backlog, ensuring all features and user stories are clearly defined with acceptance criteria
• Write comprehensive user stories and conduct detailed requirements analysis to translate complex business needs into actionable development tasks
• Define sprint goals and collaborate with development teams during planning activities to ensure clarity and alignment on deliverables
• Conduct user journey mapping and usability testing to understand customer needs and validate product decisions with data-driven insights
• Formally accept completed work and ensure it meets quality standards and acceptance criteria before release
• Manage cross-team dependencies and communicate build progress, forecasted delivery timelines, and product performance to stakeholders
• Support product discovery activities through elaboration of features from the roadmap, conducting ROI analysis to determine approval for build
• Ensure Non-Functional Requirements are created, maintained, and tested against throughout the product lifecycle
• Actively participate in agile ceremonies and scaled agile events, promoting agile values and driving continuous improvement through inspect and adapt cycles
• Leverage business systems knowledge, industry requirements, and practical implications to support informed product priorities
• Analyze product performance metrics and KPIs to recommend data-driven solutions and approaches to the Product Manager

• Own the product vision and roadmap for fraud detection and prevention capabilities

• Translate business, risk, and regulatory requirements into clear user stories and acceptance criteria

• Manage and prioritize the product backlog based on fraud risk, customer impact, and ROI

• Collaborate with data science teams on fraud models, rules engines, and machine-learning initiatives

• Work closely with engineering teams to deliver real-time and batch fraud solutions
  Partner with Risk, Compliance, AML, and Operations teams to ensure regulatory alignment

• Define and monitor KPIs such as fraud loss reduction, false positives, approval rates, and customer friction

• Support model lifecycle management (feature changes, monitoring, retraining, explainability)

• Ensure solutions comply with regulatory and data privacy requirements (e.g., PSD2, GDPR, PCI DSS)