Role & responsibilities

Job Title: Reliability Engineer (Full Stack + Cloud Ops)

Location: Remote / Hybrid -Pune
Company: Proctortrack

About the Role

We are looking for a Reliability Engineer who can bridge application development and cloud operations to ensure the Proctortrack platform is secure, scalable, and highly reliable.

This role is critical in delivering a consistent, high-quality experience for enterprise customers operating at scale. You will work across the stackfrom Django/MySQL application layers to cloud infrastructuredriving system reliability, performance, and operational excellence.

Key Responsibilities

- Own end-to-end reliability of the Proctortrack platform across application and infrastructure layers
- Monitor, troubleshoot, and resolve production issues with strong ownership and urgency
- Improve system performance, uptime, and scalability of Django-based services and MySQL databases
- Design and implement observability (logging, metrics, alerting) across services
- Collaborate with engineering teams to identify reliability gaps and proactively drive solutions
- Optimize database performance, query efficiency, and data handling at scale
- Build and enhance deployment, rollback, and incident response processes




- Strengthen cloud infrastructure reliability (GCP/AWS) across compute, networking, and storage
- Drive automation to reduce manual effort and minimize human error
- Lead post-incident analysis and translate learnings into system improvements

Preferred candidate profile

Required Skills & Experience

- 48 years of experience in Backend Engineering, SRE, or DevOps roles
- Strong hands-on experience with Django (Python) in production environments
- Solid understanding of MySQL, including performance tuning and query optimization
- Experience with cloud platforms (GCP preferred, AWS acceptable)
- Hands-on experience with monitoring & observability tools (e.g., Prometheus, ELK, Grafana)
- Robust debugging and problem-solving skills in distributed systems
- Familiarity with CI/CD pipelines and deployment strategies
- Good understanding of system design, scalability, and fault tolerance

Nice to Have

- Experience with high-scale, real-time systems
- Exposure to Redis, caching strategies, and asynchronous processing
- Understanding of security and compliance in enterprise environments
- Prior experience in video streaming or proctoring systems

📌 Remote Work (Hybrid ) || Reliability Engineer (Full Stack + Cloud Ops)
🏢 Verificient
📍 Pune