Senior Software Engineer, Query

CircleCI

. Build AI-natively, using AI as the default starting point for approaching and solving engineering problems .

Posted 10/16/2026full-timeRemote • Canada, United StatesSenior💰 CA$156,500 - CA$215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building data-intensive systems and ingestion pipelines, with a strong focus on performance tuning and schema design. Proficient in using AI tools to enhance engineering approaches while ensuring data reliability and correctness.

Highest-signal resume keywords

AI-Native EngineeringClickHouse Database ManagementGo Programming LanguageData Ingestion Pipeline DesignPerformance Tuning for High-Volume Workloads

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSchema DesignConcurrency ManagementEvent-Driven ArchitectureAnalytical DatastoresTime-Series DatastoresQuery Performance TuningService IntegrationIdempotency UnderstandingFailure Recovery

Soft Skills

MentoringDesign Discussion LeadershipQuality Improvement through Feedback

Tools & Technologies

HoneycombDatadogRollbar

Industry Keywords

Data-Intensive SystemsProduction Backend SystemsDelivery GuaranteesBackpressure ManagementLatency and Reliability Concerns

Tech Stack

Tools & technologies

ReactTypeScriptGo

About the role

Key responsibilities & impact

Build AI-natively, using AI as the default starting point for approaching and solving engineering problems
Own and harden the ClickHouse-based storage layer
Design schemas for known and emerging access patterns
Tune ingestion and query performance for production-scale data
Design and own ingestion from event streams and durable Temporal workflows
Ensure data arrives reliably, remains queryable in transit, and does not slow critical-path services
Evolve the platform into the default path for historical queries
Build indexing, caching, and tiered storage for performance
Lead design discussions, document architecture decisions, and determine data-domain migration priorities
Use Honeycomb, Datadog, and Rollbar to monitor ingestion lag, query latency, and data correctness
Take ambiguous data problems from design through production
Fix immediate issues and address the underlying team practice, process, or system

Requirements

What you’ll need

Daily use of AI tools and ability to discuss how they have changed engineering approaches and where they fall short
Experience building or owning data-intensive systems, ingestion pipelines, event-driven architectures, or analytical and time-series datastores
Understanding of tradeoffs between transactional and analytical storage
Experience designing schemas and tuning queries for high-volume workloads
Experience with ClickHouse or another columnar database is a strong plus
Strong Go skills, or strong comparable-language skills with willingness to work in Go
Go interface design, data modeling, service integration, and concurrency
Familiarity with React and TypeScript is a plus
Understanding of delivery guarantees, idempotency, backpressure, and failure recovery
Experience leading the design of complex systems and making deliberate tradeoffs
Experience raising quality through reviews, mentoring, and direct feedback
5+ years building and operating production backend systems
Experience serving real users and treating latency, reliability, and correctness as design concerns

Benefits

Comp & perks

Reasonable accommodation for applicants and employees with disabilities
Equal employment opportunity and affirmative action
Ability to request human-only application review
Ability to opt out of AI interview note-taking without affecting candidacy