Backend Engineer (AI - ML)

As a Software Engineer at HBK, you will be an integral part of our platform team. This role primarily focuses on backend development, involving the design, build, and maintenance of scalable enterprise applications and backend services. You will work in a fully remote, self-organizing, agile environment, collaborating with some of the best developers in the industry. Candidates with AI/ML experience will have opportunities to contribute to our data-driven and intelligent platform initiatives.

The core responsibilities for the job include the following:

Design and Development:

• Enterprise Applications: Design and build scalable, high-performance enterprise applications that meet HBK's standards for quality and performance.
• Internal Developer Platforms: Ideate, build, and operate modern Internal Developer Platforms to accelerate the development of HBK software products.
• Coding Standards: Write clean, maintainable, and efficient code following industry best practices and coding standards.
• Code Reviews: Participate in and conduct thorough code reviews to ensure code quality and share knowledge among the team.
• Feature Implementation: Implement new features and enhancements based on the requirements and feedback from stakeholders.
• Ensure the consistent application of the HBK Design Systems to enhance UX/UI standards across all products.
• Testing: Ensure built-in quality across software products by conducting unit, component, functional, and non-functional testing, in harmony with DevOps practices and adhering to Test-Driven Development (TDD) principles.

Agile Collaboration:

• Team Engagement: Actively participate in daily stand-ups, sprint planning, retrospectives, and other Agile ceremonies.
• SAFe Practices: Participate in Program Increment (PI) Planning, System Demos, Inspect and Adapt (I& A), and other SAFe ceremonies.
• Pair Programming: Engage in pair programming to enhance code quality, share knowledge, and improve team collaboration.
• Sprint Goals: Collaborate with team members to achieve sprint goals and deliverables.
• Backlog Refinement: Participate in backlog refinement sessions to clarify requirements and plan future work.
• Continuous Improvement: Contribute to continuous improvement initiatives within the team.

Tech Stack and Innovation:

• Technology Exploration: Continuously explore and evaluate new technologies, tools, and frameworks that can improve the development process or product quality.
• Cross-Stack Development: Work across different layers of the technology stack, from front-end to back-end, as needed.
• Prototyping: Create prototypes to explore new ideas and validate potential solutions.
• Tech Debt Management: Identify and address technical debt to maintain codebase health and performance.

DevOps Culture:

• Utilize and maintain existing CI/CD pipelines to ensure smooth and efficient deployment processes.
• Infrastructure Management: Work with infrastructure tools and services to manage deployment, monitoring, and maintenance of applications.
• Incident Response: Participate in incident response and troubleshooting to ensure high availability and reliability of production systems as required.
• Performance Monitoring: Monitor application performance and optimize code and infrastructure to meet performance requirements.

Continuous Learning:

• Professional Development: Engage in continuous personal and professional growth through training, certifications, and attending conferences.
• Knowledge Sharing: Share knowledge with team members through presentations, workshops, and documentation.
• Feedback Integration: Actively seek and integrate feedback to improve skills and deliver high-quality work.

Requirements:

• Undergraduate degree in Computer Science or a related field, or equivalent practical experience.
• 3 plus years of experience developing scalable and resilient distributed systems using enterprise-grade technologies such as Python, Java, . NET, JavaScript, or equivalent modern platforms.
• Strong expertise in cloud-native technologies like Kubernetes and Azure.
• Proficiency in object-oriented programming, design, and architectural patterns.
• Solid understanding of backend design principles, RESTful APIs, microservices, and security best practices.
• Experience with Agile methodologies (XP, Scrum, or Kanban) and CI/CD.
• Experience with automated unit tests and exposure to TDD.

Nice to Have:

• Exposure to AI/ML model integration, intelligent automation, or data pipelines is a strong plus.
• Familiarity with modern front-end frameworks (e. g., React, Angular, Vue.js ).
• Good understanding of runtime environments (e. g., CLR, JVM).
• Background in open-source contributions.