Site Reliability Engineer

Position Summary

As an SRE/Cloud Engineer - Observability, your primary responsibility revolves around enhancing the observability of our infrastructure. You play an important role in strategically optimizing resources and driving initiatives to ensure effective infrastructure management aligned with business objectives. Your focus lies in implementing tools and practices that enable comprehensive monitoring, logging, and tracing of system components and processes. By doing so, you contribute to improving system reliability, troubleshooting efficiency, and overall operational transparency.

Essential Functions/Responsibilities

The SRE/Cloud Engineer - Observability is accountable for the following functions and responsibilities:

• Configure and maintain monitoring tools (Prometheus, Grafana, AWS CloudWatch) for real-time visibility into system performance and health.
• Implement log management solutions (Elasticsearch, Fluentd, Kibana) to gain insights from application and system logs.
• Enhance observability strategies and tools to monitor the performance, availability, and reliability of distributed systems.
• Maintain robust monitoring and alerting solutions for timely issue detection and resolution.
• Promote best practices in observability, including logging, tracing, and metrics collection within development teams.
• Collaborate with development teams to ensure proper instrumentation of containerized applications for monitoring and observability.
• Utilize Kubernetes (K8s) for container orchestration, scalability, reliability, and efficient resource utilization.
• Assist in performance analysis, capacity planning, and optimizing system performance and resource utilization.
• Identify and address bottlenecks, inefficiencies, and potential failure points in the system.
• Assist in creating and enforcing cost control measures, monitor AWS resource utilization, and identify optimization opportunities to decrease infrastructure costs.
• Implement containerization strategies to improve deployment efficiency and resource utilization in the AWS environment.
• Contribute to the analysis of cloud resource usage patterns and identify opportunities for cost optimization.
• Perform technical assessment for SRE/ Cloud Engineer candidates
• Perform other duties as assigned.

Qualifications/Experience Required

• Bachelor's Degree background or relevant work experience, certification, or courses
• At least 3 years of experience specializing in roles such as Site Reliability Engineering (SRE) or similar, with a particular focus on improving observability within distributed systems.
• Experience in designing and implementing log collection, aggregation, and visualization systems using Fluentd, Fluentbit, prom-tail, Loki LokiQL, Logstash, OpenSearch, and AWS Athena.

• Experience in designing and implementing metric collection, aggregation, and visualization solutions using technologies like Prometheus PromQL, Grafana, cadvisor, metric-server, and Cloudwatch.
• Practical knowledge of trace collection, aggregation, and visualization methodologies employing tools such as Grafana tempo TraceQL, tail sampling, and open telemetry.
• Basic experience in Kubernetes, including using Kubectl, flux, and other tools for debugging and modifying cluster states and understanding containerization technology's limitations and usage within a Kubernetes cluster.
• Basic experience in containerization technology, particularly Docker and Containers, including its limitations and practical applications within a Kubernetes cluster environment.
• Basic experience in using Infrastructure-as-Code (IaC) tools (e.g., Terraform, Cloudformation) for provisioning and configuration management, including the ability to apply, modify, or delete modules and create custom Terraform modules.
• Basic experience in performing cloud system operations on AWS infrastructure, including backups, snapshots, and other administrative tasks.
• Practical knowledge of defining budgets, forecasting expenses, and building automated tools to identify cost trends and anomalies for cloud infrastructure
• Understanding of distributed systems architecture and best practices.
• Experience in using one or more scripting or programming languages (e.g., Python, Go) for automation and tooling development.
• Experience in managing and optimizing costs across multiple cloud accounts or subscriptions, with proficiency in cloud account management tools and techniques, is a plus point.
• Familiarity with multi-cloud or hybrid cloud environments, including the ability to navigate and leverage different cloud platforms simultaneously, is preferred.
• Experience at a AAA game studio or a software product company is preferred.
• AWS Certified Solutions Architect is a big plus.
• Experience working in a multinational technology startup is a big plus.
• Eagerness to learn new languages and technologies.
• Proficiency in written and verbal English language.
• Flexibility to adjust to work routines/schedules, as required, to meet the needs of the company and the expectations of customers.