Assist in monitoring and maintaining system reliability and performance
Participate in incident management, triage, and root cause analysis
Develop basic automation scripts to reduce manual operational tasks
Collaborate with senior engineers to learn best practices in system design and maintenance
Follow established processes for service deployment and change management
Engage in knowledge-sharing sessions to enhance team learning

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent work experience)
Basic understanding of Linux/Unix administration, networking, and system troubleshooting
Familiarity with scripting languages such as Python, Bash, or PowerShell
Basic understanding of data concepts such as tables, schemas, ETL, and data freshness
Basic experience in CI/CD tools (e.g., Jenkins, GitHub Actions, or GitLab CI)
Awareness of cloud computing concepts (AWS, Azure, or GCP)
Good understanding of version control systems (Git)
Familiarity with developing AI based solutions
Ability to work in a fast-paced, collaborative environment
Exposure to data engineering or analytics workflows and platforms such as working with SQL, data pipelines, or BI tools
Interest in reliability concepts applied to data systems, such as pipeline retry, checkpointing, or schema evolution

Software Development Engineer, Level 1

Key skills