Site Reliability Engineer

Roles & Responsibilities:

• Ensure high system reliability and uptime.
• Develop and maintain monitoring systems.
• Lead incident response and root cause analysis.
• Automate repetitive tasks for efficiency.
• Perform capacity planning and resource scaling.
• Lead infrastructure as code (e.g., Terraform, Kubernetes).
• Collaborate with development and operations teams.
• Maintain clear documentation and share knowledge.
• Optimize system and application performance.
• Ensure security and compliance standards are met.
• Define, measure, and monitor Service Level Objectives (SLOs) and Service-Level Agreements (SLAs) to align with business goals.
• Drive continuous process and system improvements.
• Define guidelines, standards, strategies, security policies and organizational change policies to support the Data Lake

• Masters degree in computer science or engineering field and 1 to 3 years of relevant experience OR
• Bachelors degree in computer science or engineering field and 3 to 5 years of relevant experience OR
• Diploma and Minimum of 8+ years of relevant work experience

Must-Have Skills:

• Proficiency in programming/scripting (Python, Java).
• Experience in Linux/Unix system administration.
• Experience with cloud platforms (AWS, Databricks, Azure, Snowflake).
• Proficiency in containerization and orchestration (Docker, Kubernetes).
• Knowledge of Infrastructure as Code (Terraform, Ansible).
• Familiarity with monitoring and logging tools (Prometheus, Grafana).
• Understanding of CI/CD pipelines (Jenkins, GitLab CI/CD).
• Strong networking knowledge and troubleshooting skills.
• Understanding of security principles and compliance.
• Familiarity with database management (SQL and NoSQL).
• Strong troubleshooting and debugging skills.
• Experience in performance optimization.
• Experience with backup and storage solutions.

• Familiarity with the use of AI for development productivity, such as GitHub Copilot, Databricks Assistant, Amazon Q Developer or equivalent.
• Knowledge of Agile and DevOps practices.
• Skills in disaster recovery planning.
• Familiarity with load testing tools (JMeter, Gatling).
• Basic understanding of AI/ML for monitoring.
• Knowledge of distributed systems and microservices.
• Data visualization skills (Tableau, Power BI).
• Strong communication and leadership skills.
• Understanding of compliance and auditing requirements.

• Excellent analytical and solve skills
• Excellent written and verbal communications skills (English) in translating technology content into business-language at various levels
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation
• Ability to handle multiple priorities successfully
• Team-oriented, with a focus on achieving team goals
• Strong problem-solving and analytical skills.
• Strong time and task leadership skills to estimate and successfully meet project timeline with ability to bring consistency and quality assurance across various projects.