Software Engineer II, Reliability

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Software Engineer II, Reliability (Dublin) Team Overview: As a Software Engineer II, Reliability, you will help ensure Klaviyo’s critical platforms are reliable, scalable, and sustainable while enabling rapid product development. We treat reliability as a core product feature and use software engineering to solve complex systems and operational challenges. Our work spans infrastructure, security, and software engineering, and focuses on building and operating systems that are reliable, secure, and performant at scale. The SRE team’s charter is to build and operate foundational services and infrastructure, reduce operational toil through automation, and continuously improve systems based on real production learnings. Your work will directly impact how Klaviyo engineers build software and how customers experience our platform every day. How You’ll Make an Impact: As a Software Engineer II, Reliability, you will contribute to the reliability and operational excellence of Klaviyo’s platforms by working on well-scoped projects and owning services with support from senior engineers. You will: Build, operate, and improve production systems with a focus on reliability, scalability, and performance Apply software engineering principles to automate operational tasks and reduce manual toil Contribute to the design and implementation of systems using established SRE best practices Help define and measure SLIs and SLOs for services you support Improve observability through metrics, dashboards, logging, and tracing Participate in on-call rotations and respond to production incidents with guidance and support Assist with incident investigation and contribute to post-incident reviews and follow-up actions Perform basic analysis around system behavior, capacity usage, and scaling characteristics Identify reliability issues or operational pain points and work with teammates to address them Collaborate with product, platform, and security engineers to ship reliable systems Write and maintain clear operational runbooks and system documentation Who You Are: You are an early-to-mid career SRE who is comfortable operating production systems and eager to deepen your expertise in reliability engineering. You: Have experience operating cloud-native production systems and services Write production-quality code (e.g. Python, Go, or similar) to automate operations and improve reliability Understand common failure modes in distributed systems, such as dependency failures, resource exhaustion, and partial outages Have experience working with containerized workloads and platforms (e.g. Kubernetes) in production environments Are comfortable participating in on-call rotations and diagnosing straightforward production issues Have experience using observability tools and responding to alerts Are familiar with SRE concepts such as SLIs, SLOs, and error budgets, and are learning how to apply them in practice Have hands-on experience with infrastructure as code or declarative configuration (e.g. Terraform, Kubernetes manifests) Can follow incident response processes and contribute meaningfully during outages Are comfortable receiving feedback, learning from incidents, and improving your systems over time You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. Nice to Have: Experience supporting security-sensitive systems or internal platforms Familiarity with AWS or other cloud providers Exposure to messaging or asynchronous systems (e.g. Kafka, RabbitMQ, Celery) Interest in performance testing, capacity planning, or resilience work Practical experience with algorithms and data structures Tech Stack: Klaviyo’s platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include: Python / Django / FastAPI MySQL / Redis / Memcached RabbitMQ / Celery / Apache Kafka / Apache Pulsar AWS / Terraform / Kubernetes Location & Work Model: This role is based in Dublin, Ireland and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position. At Klaviyo, we value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Our salary range reflects the cost of labour in the country where the job post is advertised. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range in Local Currency: €76.000 — €114.000 EUR This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process . For more information about how we process your personal data, see our Job Applicant Privacy Notice . Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job