Senior Site Reliability Engineer, Klaviyo

• Knowledge of Linux operating systems and computer networking
• Experience writing code in a programming language such as Python, Ruby, Go, etc
• Experience administering cloud-based infrastructure (e.g. AWS)
• Ability to troubleshoot production issues related to computer infrastructure, configuration, monitoring, deployments, and continuous integration and delivery
• Ability and willingness to learn
• Ability to communicate clearly and mentor and coach others on a team
• Ability to participate in an on-call rotation

• The SRE team builds foundational backend services as well as tooling and automation to allow product teams to release and scale their software reliably and predictably
• SREs are team players who embed themselves within product teams as needed to advance the architecture and performance of software systems and train their peers in topics such as debugging distributed systems, building self-healing applications and eking out every drop of performance possible
• Internally, we call this role Senior Site Reliability Engineer on the Platform Infrastructure team
• As a Senior Site Reliability Engineer you will own multiple foundational Klaviyo services and make a big impact on the productivity of our product engineering teams
• Vision: Offer a programmatically accessible catalog of durable, reliable, and easy to use and maintain infrastructure components enabling quality product delivery and maintenance
• Mission: Provide self-service tooling that enables use of our infrastructure components in a consolidated, consistent fashion via API-bound schemas and automation
• Ship foundational services to enable Klaviyo engineering to move faster with confidence
• Design and develop systems and processes that enable highly available & scalable systems
• Design, build and deliver software to dramatically improve the availability, scalability, latency, and efficiency of Klaviyo’s services
• Achieve break-throughs in systems throughput by identifying and eliminating bottlenecks
• Leverage technology such as Python, AWS, Django, Kubernetes, Bash, Terraform, MySQL, RabbitMQ, Redis, Cassandra, Postgresql to advance Klaviyo’s platform
• Champion best practices by actively collaborating with other teams in a culture that values whiteboarding and technical design review
• Contribute to the company as a subject matter expert in multiple areas, constantly pushing yourself to be a better engineer and to level up all of your peers within your team and within Klaviyo
• Mentor and pair with other Klaviyo engineers to build better software by focusing on performance, self-healing system, configuration as code; defensive programming, application security, etc
• Participate in periodic on call duties with a focus on solving issues when they are discovered, preventing recurrences and minimizing alert fatigue
• Prototype and advocate for architectural improvements to achieve breakthrough results in Klaviyo systems’ operational scalability and reliability
• Work hand-in-hand with product-facing engineers to ship impactful code
• Perform quantitative investigation to understand and scale Klaviyo systems and manage the cross-functional effort to resolve scalability issues
• Produce and advocate for preventative, upstream solutions with internal stakeholders and external vendors and dependencies
• Confidently make informed, data-driven choices in a fast paced environment with competing priorities

• Private health care cover
• All full time employees receive equity
• Commuting allowance for when you do travel to the office,
• A very generous education allowance every year for you to spend on learning and development.
• Participation in Klaviyo ESPP
• Personal lifestyle allowance
• Flexible holiday scheme

Klaviyo is a marketing firm helping growth-focused eCommerce brands drive more sales with super-targeted, highly relevant email, Facebook and Instagram marketing campaigns. From personalised newsletters to automated emails when customers abandon their shopping carts, the marketing automation platform makes it easy for businesses to capture, store, analyze, and predictively use their own data to drive measurable, high-value outcomes.