Senior Backend Infrastructure Engineer

About the role

• We are looking for an Infrastructure Software Engineer with 5+ years of experience to help design, build, and scale the systems that power our platform. This role is ideal for someone who thrives in fast-paced environments, enjoys building reliable infrastructure from the ground up, and takes full ownership of the software lifecycle from design and deployment to monitoring and optimization.
• You will focus on backend services , data models , APIs , and cloud infrastructure , ensuring our systems are secure, scalable, and observable. You’ll play a key role in shaping how code moves from development to production, improving deployment workflows, and building the tooling that keeps our platform fast and dependable.

Responsibilities

• Develop and Maintain Scalable Applications : Design, build, and maintain robust web applications using modern front-end and back-end technologies.
• Architect Scalable Solutions : Contribute to the system architecture and make high-level design decisions.
• Architect Modular Infrastructure: Write code in an extremely modular way to all for reuse and scalable maintenance across multiple implementations.
• Collaborate Cross-Functionally : Work closely with product managers, designers, and other engineers to define, develop, and launch new features.
• Optimize Performance : Ensure applications are efficient, secure, and performant at scale.
• Stay Ahead of Trends : Continuously research and implement the latest industry best practices, tools, and technologies .
• Mentor & Guide : Provide technical guidance and mentorship to junior engineers.

Requirements

• Education : Degree in Computer Science, Software Engineering, or a related field.
• Experience : 5+ years of hands-on experience in full-stack development.
• Backend & Cloud Engineering :
• • Deep expertise with Node.js , TypeScript , and API design (RESTful & serverless).
  • Strong experience architecting and deploying production systems on AWS (ECS, Lambda, CloudWatch, Route53, etc.).
  • Proficiency with Docker containerization and infrastructure-as-code tools such as AWS CDK or CloudFormation .
  • Strong understanding of Linux , shell scripting , and core networking concepts (DNS, VPC, load balancing, etc.).
• DevOps & CI/CD : Deep experience with Docker, GitHub, and CI/CD pipelines . Experience with deployment workflows, environment provisioning, and observability tooling.
• Database Knowledge : Experience with PostgreSQL, Supabase, and other databases .

Bonus Skills

• Experience with serverless or event-driven architectures.
• Familiarity with AI/ML infrastructure or integrating LLMs in backend systems.
• Background building SaaS platforms with multi-tenant or microservice architectures.
• Exposure to monitoring, alerting , and performance tuning of distributed systems.