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Cloud Software Engineer – Observability Platform

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25 Sep 2026Apply before
Opportunity details

About this role.

AI Summary

ClickHouse is seeking a senior Cloud Software Engineer to build and operate high-scale observability systems across its Observability Platform and Internal Observability teams. The role focuses on distributed telemetry ingestion, processing, storage, provisioning, autoscaling, reliability, and cost efficiency at trillions of events per day. Candidates need 5+ years of production systems experience, strong Go skills, Kubernetes expertise, cloud experience, and familiarity with infrastructure-as-code, GitOps, and telemetry tooling. This remote Canada role includes operational ownership, incident response, architecture work, and close collaboration with product, infrastructure, and service teams.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThis is a senior production engineering role involving distributed systems at exceptional scale, on-call incident response, and end-to-end ownership. Success requires strong technical judgment across reliability, performance, capacity, cost, and ambiguous operational problems.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$185,000
US market range$155k–$225k
AI insightNo numeric salary range is disclosed in the posting, so these are estimated US-market annual base-salary figures in USD for a senior cloud/software engineer specializing in observability, distributed systems, Kubernetes, and production infrastructure. Actual compensation may differ by location, level, equity, and total-compensation structure.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe a high-severity production incident involving a distributed system that you owned. How did you respond and prevent recurrence?

I would first stabilize customer impact through mitigations such as traffic shedding, rollback, scaling, or failover while maintaining clear incident communication. After recovery, I would use logs, metrics, traces, and dependency analysis to identify the root cause, then deliver a corrective engineering change with tests, alerts, runbooks, and a post-incident review focused on systemic prevention.

How would you design a telemetry ingestion pipeline that handles hundreds of millions of events per second?

I would separate ingestion, durable buffering, processing, and storage into independently scalable components, using partitioning and backpressure to protect downstream systems. The design would include idempotency where needed, quotas and tenancy isolation, load-aware autoscaling, retention controls, dead-letter handling, and observability for latency, loss, saturation, and cost.

What practices do you use to operate Kubernetes services reliably?

I use declarative deployment and configuration management, resource requests and limits, health checks, autoscaling, disruption budgets, progressive delivery, and actionable service-level indicators. I also ensure dashboards, alerts, runbooks, capacity planning, and regular failure-mode testing are in place so operational readiness is built into the service.

How have you used Terraform, Helm, and GitOps to improve infrastructure delivery?

I manage reusable infrastructure modules and versioned Helm charts through peer-reviewed pull requests, automated validation, and policy checks. A GitOps controller reconciles approved changes into environments, which creates an auditable deployment path, reduces configuration drift, and enables controlled rollbacks.

How do you make tradeoffs between reliability, performance, and cloud cost for a platform service?

I begin with explicit service-level objectives and workload measurements, then identify the highest-impact bottleneck or cost driver. I evaluate alternatives with production-like benchmarks and incremental rollouts, selecting the option that meets reliability targets while improving efficiency and documenting the operational consequences.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

About ClickHouse

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.

The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.

We’re on a mission to transform how companies use data. Come be a part of our journey!

ClickHouse is looking for an experienced engineer to join our Observability organization. We are hiring across two closely aligned teams: Observability Platform and Internal Observability.

Together, these teams build and operate the systems behind ClickHouse’s internal observability and ClickStack Cloud. Our platforms process trillions of events per day, sustaining throughput in the hundreds of millions of events per second. The experience we gain operating observability at ClickHouse scale feeds directly back into the platform and product we provide to customers.

The Observability Platform team builds shared systems for telemetry ingestion, durable buffering, processing, storage, autoscaling, and service provisioning. The Internal Observability team operates ClickHouse’s company-wide observability platform and works with engineering teams to improve reliability, debugging, and operational efficiency.

This is a software engineering role at the intersection of distributed systems, cloud infrastructure, and production operations. You will build systems, operate what you build, respond to incidents, and turn recurring operational problems into durable software and automation.

Your background may be in backend engineering, infrastructure, SRE, or systems engineering. What matters most is your ability to solve ambiguous production problems, make sound engineering tradeoffs, and take ownership from design through operation.

What you’ll do

  • Design, build, and operate distributed systems that ingest, process, and store telemetry at very high scale.
  • Own the reliability, performance, capacity, and cost-efficiency of telemetry pipelines and storage systems.
  • Participate in the on-call rotation, help resolve production incidents, and drive root-cause fixes through to completion.
  • Build software and automation that eliminate repetitive operational work and make the platform easier to operate.
  • Identify architectural bottlenecks and help shape the roadmap for the next stage of scale.
  • Work closely with product, infrastructure, and service teams across ClickHouse.
  • Contribute to architecture and design reviews and help raise engineering quality across the team.

How you work

  • You take ownership and proactively improve the systems around you.
  • You are comfortable debugging unfamiliar distributed systems in production.
  • You make pragmatic tradeoffs between reliability, performance, delivery speed, and cost.
  • You communicate clearly in a remote, async-friendly environment.
  • You prefer incremental delivery: ship a focused solution, validate it in production, and improve it based on evidence.
  • You address the underlying cause of operational problems rather than repeatedly treating the symptoms.

Technical experience

  • 5+ years of experience building and operating production systems at scale.
  • Strong proficiency in Go.
  • Experience building and operating services on Kubernetes.
  • Experience with infrastructure-as-code and GitOps tooling such as Terraform, Helm, and Argo CD.
  • Production experience with at least one major cloud provider: AWS, GCP, or Azure.
  • Hands-on experience with telemetry systems such as OpenTelemetry, Prometheus, Grafana, or comparable technologies.

Bonus points

  • Experience with ClickHouse.
  • Experience with high-throughput ingestion, streaming, queueing, or storage systems.
  • Experience building multi-tenant cloud services.
  • Experience optimizing infrastructure for both performance and cost.
  • Experience with TypeScript.

#LI-Remote

Compensation

For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.

These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.

An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.

If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.

Perks

  • Flexible work environment – ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
  • Healthcare – Employer contributions towards your healthcare.
  • Equity in the company – Every new team member who joins our company receives stock options.
  • Time off – Flexible time off in the US, generous entitlement in other countries.
  • A $500 Home office setup if you’re a remote employee.
  • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.

Culture – We All Shape It

As part of a rapidly scaling start up, you will be instrumental in shaping our culture.

Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.

Equal Opportunity & Privacy

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please see here for our Privacy Statement.

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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