Site Reliability Engineer

As a Site Reliability Engineer at Workable, your main responsibilities include developing tools and automations to enhance operational efficiency, deploying and monitoring cloud services, and collaborating closely with developers to design and troubleshoot production systems. You'll also focus on ensuring system availability, scalability, and performance, alongside capacity planning and capacity analysis.

To apply for the Site Reliability Engineer role at Workable, candidates should ideally have a BS/MS degree in Computer Science or Engineering, along with at least 2 years of relevant work experience. Strong analytical and troubleshooting skills, programming knowledge in a language like Go, Python, or C++, and experience with Kubernetes and major cloud providers such as GCP and AWS are also essential.

At Workable, collaboration is at the core of our work culture. Site Reliability Engineers work in highly cross-functional teams, sharing knowledge and expertise with developers and other stakeholders. We emphasize open communication and provide an environment where engineers can innovate, learn from each other, and contribute ideas to enhance our products and processes.

A Site Reliability Engineer at Workable will work extensively with modern technologies such as Kubernetes for container orchestration, various major cloud platforms like GCP and AWS, and automation tools like Ansible and Terraform. You’ll also engage with monitoring systems, logging frameworks, and potentially both relational and NoSQL databases.

Workable offers a comprehensive range of benefits to its Site Reliability Engineers, including health coverage, competitive salary with performance bonuses, a flexible hybrid work model, top-tier tools for productivity, a mobile data plan, tasty office meals to keep energy levels up, and a generous time-off policy to ensure balance in life.

When discussing your experience with Kubernetes, highlight specific projects you've worked on, the challenges you faced, and how you optimized deployment processes. Share your knowledge of Kubernetes features like scaling, load balancing, and how you utilize custom resources within this orchestration tool.

To effectively troubleshoot cloud service performance issues, start by discussing systematic approaches. Mention monitoring tools you've used, how you analyze logs and system metrics, and steps taken to identify bottlenecks, whether they are in network latency, server resource saturation, or application-level issues.

Addressing security in SRE roles requires a proactive approach. Discuss how you implement best practices such as regular audits, automated security tests in CI/CD pipelines, and staying updated with security patches. Mention your experience with tools that aid in monitoring security breaches.

When describing a project focused on enhancing system reliability, highlight a specific challenge you faced, the strategies you implemented to address it, and the measurable improvements you achieved. Discuss tools and methodologies applied, such as redundancy techniques or automated failover systems.

Emphasize the significant role automation plays in reducing manual tasks and improving efficiency. Talk about your experience with scripting tools, implementing Infrastructure as Code (IaC), and how automating deployments and monitoring frees up time for more complex problem-solving.

When discussing collaboration with developers, provide a concrete example that illustrates how you worked together to solve a problem or improve a system. Highlight your focus on open communication, feedback loops, and how your insights contributed to a more robust product.

Provide details about the monitoring and logging tools you've worked with, such as Prometheus, Grafana, ELK stack, or others. Elaborate on how you've set up alerts, dashboards, and logs to track performance and troubleshoot issues effectively.

Discuss your process for capacity planning, including how you analyze current usage, forecast future needs based on trends, and ensure resources scale elastically. Mention any tools you use for monitoring and prediction and how you communicate requirements with the team.

Be specific about the programming languages you know, such as Go, Python, or C++. Explain how you use these languages, whether it's for scripting automation tasks, developing microservices, or building tools that aid in monitoring and deployment.

Your answer should reflect a genuine interest in Workable's mission and culture. Discuss what excites you about working with innovative HR technology, the collaborative culture, and how you believe your skill set aligns perfectly with the responsibilities of the Site Reliability Engineer role.