What You Should Bring:

• System Reliability & Performance: Maintain high availability and performance of production systems.

• Incident Management & Response: Monitor system health, troubleshoot issues, and respond to incidents to minimize downtime.

• Automation & Infrastructure as Code (IaC): Develop scripts and automation tools for deployment, monitoring, and infrastructure management.

• Strong problem solving and analytical skills and highly adaptable to changing circumstances.

• Experience in reliability engineering and monitoring practices, environments, and tools (e.g., cloud ecosystem preferably AWS, monitoring/observability, configuration management, etc.).

• Experience with programming and scripting languages (e.g., Java, Javascript, Python, etc.) within context of automation tools

• Experience with large-scale databases, data movement and analytics tools (e.g., RDS, DynamoDB, etc.)

• Experience with ITIL v4 processes, framework, and tools that support it (e.g., ServiceNow).

• Experience with testing frameworks and methodologies (unit, integration, and end-to-end testing) for ensuring application quality and reliability. Knowledge of debugging and performance optimization tools for diagnosing and resolving issues.

• Proficient understanding of code versioning tools and continuous integration (CI/CD). 

• Participate in code reviews and provide constructive feedback to improve code quality and maintainability.

• Troubleshoot and resolve front-end issues, optimizing performance, and continuously improving the user experience. Ability to perform root cause analysis (using techniques like 5 Whys, fishbone diagrams, or fault tree analysis) to identify and address the underlying causes of quality issues.
• Demonstrate continuous improvement experience with automation or applying technology to improve performance.

Basic Qualifications:

• Bachelor’s Degree in Computer Science, Information Technology or related technical field

• 8+ years of overall experience with atleast 5+ years experience in Full Stack Software Engineering including:

  • Experience with programming (Java, JavaScript ,Go, Python,)

  • Experience with Containers, Databases (SQL/No SQL)

  • Experience with CI/CD, Cloud and GitHub technologies

  • Experience with Automation tools

  • Experience in configuration management (Terraform, Ansible, Puppet, Chef)

    • Experience in monitoring/logging tools (Prometheus, Grafana, ELK, Datadog)