Software Engineer

Key Responsibilities

• Design, develop, test and deploy scalable software modules and microservices for SentraForge's ai cloud and GPU-as-a-Service platform, following secure coding and clean-code principles.
• Build and maintain RESTful / gRPC APIs, backend services and internal tools that enable customers to provision, manage and monitor GPU compute, storage and networking resources.
• Develop cloud-native applications using containers (Docker), orchestration platforms (Kubernetes) and Infrastructure-as-Code tools, ensuring high availability and fault tolerance.
• Contribute to CI/CD pipelines for automated builds, testing, code quality checks and seamless deployments across development, staging and production environments.
• Implement automation scripts and workflows to streamline infrastructure operations, resource scheduling and routine data-centre tasks, reducing manual intervention.
• Support monitoring, logging and observability (e.g., Prometheus, Grafana, ELK) to track system health, performance metrics and SLA adherence for large-scale infrastructure.
• Write unit, integration and performance tests; participate in debugging, root-cause analysis (RCA) and resolution of production issues in coordination with senior engineers.
• Optimise application performance, database queries and resource utilisation to deliver low-latency, cost-efficient services to enterprise and research customers.
• Participate in code reviews, design discussions and sprint ceremonies within an Agile / Scrum framework, collaborating closely with platform, DevOps, product and customer success teams.
• Maintain clear technical documentation – design notes, API specifications, runbooks and knowledge-base articles – to support knowledge sharing and operational continuity.
• Stay updated on emerging technologies in AI/ML infrastructure, GPU computing, distributed systems and cloud architecture, and contribute ideas to improve the platform.

What We're Looking For

• B.Tech / B.E. in Computer Science, IT, ECE or related fields
• Strong fundamentals in Data Structures, Algorithms, OOP and DBMS
• Proficiency in at least one programming language – Python, Go, Java or C++
• Basic understanding of Linux, computer networking, Git and REST APIs
• Exposure to cloud platforms (AWS / Azure / GCP), Docker or Kubernetes is a plus
• Academic projects, internships or hackathons in AI/ML, cloud or systems will be an advantage
• Strong problem-solving skills, eagerness to learn and good communication

Why Join SentraForge ai

• Work on cutting-edge AI and GPU cloud infrastructure at scale
• Structured learning, mentorship and hands-on exposure from day one
• Collaborative, high-ownership engineering culture
• Competitive compensation and benefits
• Clear career growth path

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