
Senior Observability Platform Engineer
- Company name
- Klaviyo (website)
- Annual base salary
- $148,000 — $222,000
- Location
On-site from
- Posted on SalaryPine
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.
At Klaviyo, Platform Engineering is what you get when you treat operating complex systems as a software engineering problem. Our Observability Platform group applies that philosophy to how we collect, store, and surface signals about the health of our products and infrastructure. We build and run the shared observability stack—metrics, logs, traces, alerting, and developer-facing tooling—that enables every product and platform team at Klaviyo to understand how their systems behave in production and to ship changes with confidence.
As a Senior Observability Platform Engineer, you will design, build, and operate the core observability services that power Klaviyo’s monitoring and incident response. You’ll partner closely with product engineering, other platform teams, and security to define how we instrument services, standardize telemetry, and make it easy for engineers to debug issues in a fast-growing, distributed environment.
How you’ll make an impact
- Own observability platforms end-to-end – Design, implement, and operate scalable, highly available systems for metrics, logging, tracing, and alerting (e.g., Prometheus-compatible metrics, time‐series storage, log pipelines, distributed tracing backends).
- Build opinionated developer experiences – Create libraries, dashboards, runbooks, and self-service tooling that make “doing the right thing” for observability the easiest path for Klaviyo engineers.
- Set standards for telemetry – Define and evangelize best practices for instrumentation, SLOs, alerting, and incident readiness across services and teams.
- Drive reliability through data – Use observability data to identify performance bottlenecks, reliability risks, and architectural improvements, and collaborate with teams to address them.
- Automate everything – Treat infrastructure as code; build automation for provisioning, configuration, scaling, and upgrades of observability components.
- Mentor and multiply – Partner with engineers across Klaviyo to level up skills in debugging distributed systems, designing effective alerts, and using observability tools to make better product and reliability decisions.
- Utilize AI – 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.
What we’re looking for
- Strong software engineering experience in at least one modern language (e.g., Go, Python, Java) and comfort working in Linux-based production environments.
- Hands-on experience designing and operating observability systems at scale (for example: Prometheus / Cortex / Thanos / Mimir, OpenTelemetry, Grafana, alerting pipelines, log aggregation systems, or distributed tracing backends).
- A track record of improving reliability and performance of complex, distributed applications using telemetry and data-driven insights.
- Experience with infrastructure-as-code and modern cloud-native tooling (e.g., Terraform, Kubernetes, service meshes, CI/CD systems).
- Strong technical communication and collaboration skills—you’re comfortable partnering with many teams, writing clear documentation, and leading technical discussions.
- A mindset that values simple, well‐understood systems, iterative improvement, and a bias toward empowering other engineers rather than being on the critical path for every change.
Technologies we use (not exhaustive):
- Backend: Python, Django, Go
- Observability Platform: Chronosphere, Cortex, Prometheus, OTEL
- Testing Frameworks: Pytest
- Infrastructure and CI: AWS, Kubernetes, Terraform, Helm, Buildkite
- Data: MySQL, Redis, Kafka
Klaviyo is growing fast and we have opportunities for engineers who care deeply about reliability, developer experience, and building strong foundational platforms. Learn more about our engineering culture at https://klaviyo.tech/.
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Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. 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 For US Locations:$148,000—$222,000 USDGet 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.