Cloud Site Reliability Engineer
1 month ago
Transformative Solutions Expert
ZS is a global firm that transforms healthcare and beyond through innovative solutions. As a Cloud Site Reliability Engineer, you will work with our team to analyze, maintain, and nurture our cloud solutions to support our clients. Your expertise will ensure the stability of our environment by analyzing the current state, designing solutions, and implementing them.
Key Responsibilities:
- Analyze the current state of our cloud solutions and design appropriate solutions to implement.
- Coordinate emergency responses, perform root cause analysis, and identify solutions to prevent re-occurrences.
- Work with the team to identify ways to increase MTBF and lower MTTR for the environment.
- Review each application stack and execute initiatives to reduce failures, defects, and issues with overall performance.
- Identify and implement more efficient system procedures.
- Maintain environment monitoring systems to provide visibility into the state of deployed products/solutions.
- Perform root cause analysis on incoming infrastructure alerts and work with teams to resolve them.
- Maintain performance analysis tools and identify adverse changes to performance, working with teams to resolve them.
- Research industry trends and technologies and promote adoption of best-in-class tools and technologies.
- Take the initiative to advance the quality, performance, or scalability of our cloud solutions by influencing architecture or design.
- Design, develop, and execute automated tests to validate solutions and environments.
- Troubleshoot issues across the entire stack – infrastructure, software, application, and network.
Requirements:
- 3+ years' experience working as a Site Reliability Engineer or an equivalent position.
- 2+ years' experience with AWS cloud technologies and at least one AWS certification.
- 1+ years' experience functioning as a senior member in an infrastructure/software team.
- Hands-on experience with AWS services like EC2, RDS, EMR, CloudFront, ELB, API Gateway, CodeBuild, AWS Config, Systems Manager, Service Catalog, Lambda, etc.
- Full-stack IT experience with *nix, Windows, network/firewall concepts, source control (BitBucket), and build/dependency management and continuous integration systems (TeamCity, Jenkins).
- Expertise in at least one scripting language, Python preferred.
- Firm understanding of application reliability, performance tuning, and scalability.
- Exposure to big data technologies (Spark, Hadoop, Scala, etc.) stack is preferred.
- Solid knowledge of infrastructure and cloud-native services along with network technologies.
- Solid understanding of RDBMS and Cloud Database engines like Postgres SQL, MySQL, etc.
- Firm understanding of Clusters, Load balancers, and CDN.
- Experience in fault-tolerant system design.
- Familiarity with Splunk data analysis, Datadog, or similar tools is a plus.
- A Bachelor's degree (Master's preferred) in a related technical field.
- Excellent analytical, troubleshooting, and communication skills.
- Possess strong verbal, written, and team presentation communication skills. ZS is a global firm; fluency in English is required.
- This role requires healthy doses of initiative and the ability to remain flexible and responsive in a very dynamic environment.
- Ability to quickly learn new platforms, languages, tools, and techniques as needed to meet project requirements.
Perks & Benefits:
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options, and internal mobility paths and collaborative culture empower you to thrive as an individual and global team member.
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
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