Machine Learning Engineer
Scribd, Inc.
AirflowApacheAWSAzureCloudGoGoogle Cloud PlatformGRPCPythonRubyRuby on RailsSaltStack+3 more
Senior Software Engineer II, Ads Data Solutions
Instacart
full-time
Posted on:
Origin: • 🇨🇦 Canada
Visit company websiteSalary
💰 CA$193,000 - CA$214,000 per year
Job Level
Senior
Tech Stack
AirflowAWSGoGRPCPythonRubySparkSQL
About the role
- Co-own technical roadmap, design and ship scalable data-intensive systems for Ads Data Solutions at Instacart
- Lead architecture for reusable, scalable systems across off-platform workflows, cleanrooms, taxonomy automation, and the Ads Data Solutions Platform
- Evolve core abstractions, testing, CI/CD, observability, and cost efficiency; proactively drive modernization
- Expand and harden integrations with external advertising platforms and design privacy-forward activation and identity workflows
- Build measurement ingestion pipelines for performance signals (reach, frequency, conversions)
- Extend cleanroom orchestration and governance tooling, develop reusable query templates and partner configurations, and optimize pipelines for cost and performance
- Lead intake automation and release workflow improvements for Ads Taxonomy to reduce manual effort and cycle time
- Assist with platform modernization, developer tooling improvements, and contribute to on-call/SLO strategy
- Use AI-assisted tools daily for design, coding, tests, and docs; define team prompt patterns and AI-first workflows
- Translate ambiguous requirements into pragmatic phases (POC, pilot, production) with clear SLAs/SLOs
- Champion security-by-design, data governance, and privacy compliance across pipelines
- Mentor L4/L5 engineers, set code quality and review standards, and build cross-team partnerships with Ads Manager, Measurement Science, Data Platform, Privacy/Legal, and external platforms
Requirements
- 8+ years of software engineering experience (typically 10+ for this level)
- Proven senior-level impact delivering and operating large-scale backend/data systems
- Strong in Python and one of Ruby or Go
- Experience building services/APIs (REST/gRPC) and integrations with third-party APIs (e.g., Meta, Google, The Trade Desk)
- Data pipelines experience with DBT and Airflow; Spark/Databricks; advanced SQL and performance tuning
- Experience with Snowflake and AWS; cost-aware design
- Workflow orchestration experience (e.g., Temporal) and event-driven patterns
- Experience with ad-tech/programmatic and measurement integrations
- Experience with cleanrooms (Snowflake DCR, shares/listings) and secure data collaboration
- Identity/matching experience (UID2, RampID) and deconfliction
- Working knowledge of privacy and compliance practices (GDPR/CCPA) in data workflows
- CI/CD, containers, test strategy experience; observability (metrics/logs/tracing) with tools like Datadog
- Incident readiness and SLO thinking
- Demonstrated, recent hands-on use of AI-assisted development tools (e.g., GitHub Copilot, Cursor, OpenAI-based assistants)
- Experience defining reusable prompts/workflows for team use and contributing to AI-enabled internal tools or automation
- Ability to evaluate when to apply AI vs. deterministic systems; familiarity with evaluation, guardrails, and security/privacy implications in AI usage
- Clear technical writing and stakeholder management skills; ability to drive consensus and unblock execution
- Mentorship experience for engineers up to L5 and acting as an IC tech lead (no direct reports)
- Must be eligible to work and be located in Canada (Ontario, Alberta, British Columbia, or Nova Scotia)
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