Description

You will combine software engineering expertise with IT operations to ensure the reliability, availability, scalability, and performance of critical systems and services.

Responsibilities

• Design, implement, and maintain automated solutions to ensure application and service high availability and resilience.
• Respond to production incidents, develop downtime minimization protocols, conduct post-mortems, and implement preventive measures.
• Set up and manage monitoring systems to track performance metrics and address potential system issues proactively.
• Analyze system performance, identify bottlenecks, and optimize for speed and resource utilization.
• Leverage automation tools to reduce manual interventions and ensure process repeatability.

Required Skills

• 8+ years of total professional experience.
• Expertise in end-to-end observability solutions (Elastic Observability, Elastic APM, Distributed Tracing, OpenTelemetry).
• Proficiency in Linux/Unix system administration and cloud infrastructure (AWS, Azure, Google Cloud).
• Strong programming skills in Java, Python, Go, Bash, Spring Boot, or PySpark.
• Experience with data management and warehousing technologies like MongoDB and Snowflake.
• Familiarity with CI/CD tools and configuration management (Jenkins, Ansible, Terraform).
• Experience with containerization and orchestration using Docker and Kubernetes/EKS.
• Solid understanding of networking, databases, and distributed systems.
• Proven experience managing incident response and post-mortem processes.

Key Skills

Education

Any Graduate