Mumbai, Maharashtra, India
Information Technology
Full-Time
Nexifyr Consulting Pvt Ltd
Overview
Job Summary:
We are looking for a Backend + DevOps Engineer who is passionate about designing scalable backend systems, automating infrastructure, and ensuring highly available, fault-tolerant production environments. You will work on performance-critical services, develop infrastructure for real-time applications, and deploy across cloud-native environments.
Responsibilities :
- Design and implement core backend services and RESTful APIs using Python (FastAPI) for data-intensive applications
- Architect and scale backend systems that manage large datasets and high throughput workloads
- Manage CI/CD pipelines , automate infrastructure using Terraform/Ansible , and maintain robust GitOps workflows
- Orchestrate containerized applications using Docker & Kubernetes across production and staging environments
- Monitor system performance and ensure uptime using observability tools such as Prometheus, Grafana , and ELK stack
- Implement best practices in code quality, security, and system hardening across DevOps workflows
- Manage and optimize cloud infrastructure on AWS, GCP, or Azure to support scalable deployments
- Ensure seamless integration of backend systems with AI/ML inference pipelines and other microservices
- (Bonus) Contribute to performance-critical modules in C++ , especially for visualization or graphics-heavy backend tasks
Requirements:
- 5+ years of hands-on experience in backend development and DevOps/Production Engineering
- Strong command over Python (FastAPI) and backend architectural design
- Deep understanding of Docker, Kubernetes , and cloud platforms (AWS/GCP/Azure)
- Proficiency in writing scalable, modular, and secure APIs
- Experience with infrastructure as code (Terraform, Pulumi, Ansible)
- Familiarity with database systems like PostgreSQL, Redis, and MongoDB
- Solid knowledge of Linux-based systems , scripting, and automation
- (Bonus) Experience with graphics programming in C++
- Familiarity with load testing , horizontal scaling , and zero-downtime deployments
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