Staff Software Engineer, Service Configuration & Deployment

San Francisco (CA)

On-site

USD 177,000 - 365,000

Full time

8 days ago

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Job summary

Pinterest is seeking a Staff Software Engineer to own the end-to-end technical strategy for configuration and coordination infrastructure. You will partner with Traffic, Compute, Observability, and Cloud Architecture to deliver scalable, high‑performance solutions at scale.

You will drive the long‑term vision, migrate legacy substrates to modern platforms, and design high‑quality control planes and APIs that empower engineers and automated agents while maintaining strict data governance and

Qualifications

Minimum 10 years experience in high-scale infrastructure and distributed environments, with a track record of architecting or managing business-critical backend substrates in production settings.
Proven expertise in orchestrating cross-functional technical strategies for control-plane systems (e.g., experiments, feature flags, or ML config), unifying disparate teams around standardized and safe rollout methodologies.
Advanced proficiency in distributed coordination and substrate design capable of navigating complex consistency models, failure domains, and the engineering of resilient, high-leverage abstractions.
Experience aligning configuration surfaces with deployment pipelines and orchestration frameworks (e.g., IaC or CI/CD), with a focus on mitigating architectural circularity and reducing service owner toil.
History elevating senior engineering talent while steering parallel workstreams, synthesizing loosely coupled initiatives into a unified technical vision and executable roadmap.
Ability to catalyze execution via AI-enabled workflows (e.g., design synthesis, analytical phases, or documentation) while ensuring rigorous accountability through data validation, peer review, and metric-driven verification.
Extreme ownership and professional integrity: safeguarding data, maintaining human-in-the-loop oversight for automated outputs, and taking full responsibility for long-term architectural outcomes.
Bachelor's/Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.

Responsibilities

Orchestrate the long‑term technical vision for configuration ecosystems to ensure feature flags, ML settings, and experiments utilize unified paved paths.
Spearhead the transition from legacy substrates by migrating mission‑critical use cases to modern platforms.
Architect the next generation of control plane interfaces and diagnostic surfaces.
Direct the integration of coordination stacks within the broader deployment and multi‑region landscape.
Leverage AI to catalyze infrastructure design and analytical phases, utilizing assistant‑enabled workflows to synthesize partner requirements into executable roadmaps.