Sr. Soft Engineer

Job highlights

• Bachelor s degree in computer science,similar technical field of study,or equivalent practical experience. .
• Experience: 4-7 Year.
• . AI Exposure. Hands-on experience delivering one or more: - AI-enabled product features

Today, through BHN s single global platform, businesses of all kinds can tap into the world s largest network of branded payment solutions. BHN helps businesses grow revenue, increase loyalty, motivate and reward their teams, disburse funds and engage consumers. Branded payment solutions include the issuance and distribution of gift cards, egifts, corporate payouts and rewards, along with the technology to deliver these products in seamless, integrated ways. BHN s network spans the globe with more than 400,000 consumer touchpoints. Learn more at BHN.com.

Overview:

BHN is building a digital platform and products that bring people and brands together. We facilitate cross channel payments via cash-in, cash-out and mobile payments. By leveraging blockchain, smart contracts, serverless technology, real time payment systems, we are unlocking the next million users through innovation.

Our employees are our biggest assets! Come find out how we engage, with the biggest brands in the world. We look for people who collaborate, who are inspirational, who have passion that can make a difference by working as a team while striving for global excellence. You can expect a strong investment in your professional growth, and a dedication to crafting a successful, sustainable career for you. Our teams are composed of highly talented and passionate A players, who are also invested in mentoring and enabling the best qualities. Our vibrant culture and high expectations will kindle your passion and bring out the best in you!

Responsibilities:

SSE is an experienced engineer responsible for end-to-end ownership of services and features.
They are expected to handle ambiguity, make technical decisions within their teams scope,
mentor junior engineers, and drive implementation from requirements through production.
They contribute heavily to architecture but do not own organization-wide technical strategy

Technical Ownership

• Own the design and delivery of medium-to-large features and services.
• Break down ambiguous business requirements into technical solutions.
• Drive implementation decisions within assigned services and product areas.
• Ensure systems meet reliability, scalability, security, and performance requirements.

Full Stack Development

• Design and build backend services, APIs, and event-driven systems.
• Develop and maintain frontend applications using React and TypeScript.
• Improve application architecture and maintainability.

AI & Automation

• Design and implement AI-enabled product capabilities.
• Build workflow automation solutions and business process integrations.
• Design and implement RAG-based applications and intelligent search solutions.
• Evaluate tradeoffs when integrating AI into products.
• Guide teams on practical AI implementation approaches.

Reliability & Operations

• Troubleshoot complex production issues.
• Drive root cause analysis and long-term fixes.
• Improve observability, monitoring, and operational readiness.
• Optimize system performance and cost.

Mentorship

• Mentor junior engineers.
• Conduct code reviews and design reviews.
• Share technical knowledge and engineering best practices.

Collaboration

• Partner with Product Managers and stakeholders to refine requirements.
• Identify missing requirements and NFRs.
• Participate in architecture discussions and technical planning.

Qualifications:

Bachelor s degree in computer science, similar technical field of study, or equivalent practical experience.

Experience: 4-7 Year

Required Skiils:

Backend

• Strong Java Spring Boot and/or Python
• Microservices
• Distributed systems
• SQL and NoSQL databases
• Redis
• Kafka

Frontend

• React
• TypeScript
• Frontend architecture
• Performance optimization

Cloud & DevOps

• AWS, Azure, or GCP
• Docker
• CI/CD
• ECS

System Design

• Scalability
• Reliability
• Security
• Performance optimization
• Tradeoff analysis

AI Exposure

Hands-on experience delivering one or more:

• AI-enabled product features
• LLM integrations
• Workflow automation
• RAG applications
• AI assistants
• Intelligent document processing

Employment is contingent upon the successful completion of a background check.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.