SRE \ Cloud Engineer

Description

Datarails is a financial planning and analysis platform that automates financial reporting and planning, while enabling finance teams to continue benefiting from the familiar spreadsheets and financial models of Excel.

Our cutting-edge platform and innovative technologies are trusted by businesses across various industries to optimize decision-making processes and drive growth.

About The Role

• Run the production environment by monitoring availability and taking a holistic view of system health
• Build software and systems to manage platform infrastructure and applications
• Improve reliability, quality, and time-to-market of our solution
• Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement
• Provide primary operational support and engineering for multiple large-scale distributed software applications
  
  

• Gather and analyze metrics from operating systems as well as applications to assist in performance tuning and fault finding
• Partner with development teams to improve services through rigorous testing and release procedures
• Participate in system design consulting, platform management, and capacity planning
• Create sustainable systems and services through automation and uplifts
• Balance feature development speed and reliability with well-defined service-level objectives
  
  

• A dynamic and collaborative work environment that fosters innovation and personal growth
• Opportunity to work with cutting-edge technologies and contribute to the advancement of data analytics.
• Competitive salary and comprehensive benefits package.
• A supportive and inclusive company culture that values diversity and promotes work-life balance
  
  

• 2-3 years of experience in Site Reliability Engineering (SRE), Cloud Engineering, or a combination of experience in these areas.
• Strong knowledge with cloud platforms like AWS, Azure, or Google Cloud.
• Knowledge of containerization technologies (Docker, Kubernetes) and orchestration tools.
• Expertise in monitoring and logging tools such as DataDog, Prometheus, Grafana, ELK stack.
• Familiarity with continuous integration/continuous deployment (CI/CD) pipelines.
• Knowledge of security best practices and experience implementing security measures in a production environment.
• Strong analytical and problem-solving skills, with a focus on continuous improvement and automation.
• GitOps concept and tools (ArgoCD, Flux) - an advantage
• Scripting knowledge (Bash, Python) - an advantage