Cloud Site Reliability Engineer
Indexed description
Responsibilities
As a Site Reliability Engineer (SRE), you will be responsible for:
- Supporting the design, implementation, and maintenance of our infrastructure, ensuring high availability, performance, and security.
- Collaborating with cross-functional teams to define and implement SLIs and SLOs.
- Identifying, troubleshooting, and resolving complex system and application issues, implementing monitoring and alerting solutions to proactively detect and address potential problems.
- Developing automation tools and scripts for managing, monitoring, and deploying infrastructure and applications.
- Working closely with the development team to ensure efficient and reliable deployment of new features and services.
- Continuously monitoring and maintaining a baseline of metrics and KPIs for system and application performance, scalability, and reliability
- Creating and maintaining comprehensive documentation for infrastructure, processes, and incident postmortems.
- Staying up to date with emerging trends and technologies in the field of site reliability engineering and driving the adoption of relevant best practices within the team.
- Utilizes AI-enabled tools (e.g., chatbots, content creation, competitive intelligence) to improve efficiency, accuracy, and streamline routine tasks while following company AI governance and data privacy standards.
- 3–5 years of experience working as an SRE, DevOps Engineer, or a similar role, with a proven record of accomplishment.
- Bachelor’s degree or equivalent in a related field.
- Strong knowledge of cloud computing platforms, such as AWS or Azure
- Proficiency in one or more programming or scripting languages, such as Python or PEARL, PowerShell, and ANSIBLE
- Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
- Familiarity with infrastructure as code (IaC) tools, such as Terraform, CloudFormation, or ARM templates.
- Solid understanding of networking concepts, including TCP/IP, DNS, and load balancing.
- Experience with monitoring and alerting tools, such as Prometheus, Grafana, Datadog, New Relic, logz.io.
- Experience with CI/CD pipelines and tools, such as Azure DevOps, Jenkins, GitLab, or GitHub Actions.
- Familiarity with database systems, both SQL and NoSQL.
- Knowledge of security best practices for infrastructure and application development.
- Industry certifications, such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect Expert
- Strong problem-solving skills and the ability to work independently or as part of a team.
- Excellent written and verbal communication skills.
- Must be able to succeed in a dynamic collaborative team environment and have excellent interpersonal and communication skills.
- Skills in prompting AI systems and assessing output quality.
- Ability in prompting AI systems and assessing output department.
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