Software Engineer – Platform

Snorkel AI

Platform Engineer building infrastructure, backend services, and event-driven data systems for Snorkel AI’s specialized enterprise AI platform. Shaping scalable architecture, reliability, governance, and developer workflows.

Posted 8/20/2026full-timeNew York City • California, New York • 🇺🇸 United StatesMid-LevelSenior💰 $220,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing platform infrastructure, backend services, and data systems, with a strong focus on event-driven architectures, CI/CD pipelines, and compliance frameworks. Proficient in Python and AWS services, with a solid understanding of data governance and distributed systems.

Highest-signal resume keywords

Platform Infrastructure DevelopmentEvent-Driven Data FlowsAWS Services (S3, RDS, EKS, EventBridge, IAM)CI/CD Pipeline StrategyData Governance and Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonREST API DesignDistributed SystemsETL/ELT SystemsTerraformOpenTelemetryData LineageRBACAudit LoggingCost Optimization

Soft Skills

Technical CommunicationCollaboration

Tools & Technologies

PrefectAirflowDagster

Industry Keywords

Continuous DeploymentData GovernanceEvent BrokersSchema RegistriesDead Letter Queues

Tech Stack

Tools & technologies

AirflowAWSCloudDistributed SystemsETLPythonTerraform

About the role

Key responsibilities & impact

Design and build agent infrastructure to safely and reliably accelerate engineering and operations workflows
Design and implement event-driven data flows using event brokers, CDC connectors, schema registries, event routing, and dead letter queues
Build data lineage, governance, RBAC, auditing, PII handling, retention policy enforcement, and enterprise compliance infrastructure
Set strategy and architecture for build systems, testing frameworks, and CI/CD pipelines
Drive the transition toward robust, automated continuous deployment
Instrument services with OpenTelemetry and define and monitor SLOs
Build alerting to detect issues before incidents; participate in on-call for systems built
Improve infrastructure cost visibility and optimization through query cost estimation, workload right-sizing, and storage-tier routing
Collaborate with engineers, product managers, and designers to improve codebases, infrastructure, and processes

Requirements

What you’ll need

5+ years building platform infrastructure, backend services, or data systems in production
Experience operating pipelines, data access layers, distributed services, or ETL/ELT systems at scale
Strong proficiency in Python
Experience designing REST APIs for internal services and developers
Strong background in distributed systems and cloud platforms
Hands-on experience with AWS services such as S3, RDS, EKS, EventBridge, and IAM
Comfort working in a Terraform-managed environment
Familiarity with Prefect, Airflow, or Dagster
Familiarity with dbt
Understanding of RBAC, PII handling, audit logging, and data lineage
Track record of leading complex engineering initiatives and delivering measurable impact
Strong technical communication skills
Fluency with modern developer tooling and willingness to adopt new tools quickly

Benefits

Comp & perks

Meaningful opportunities to shape priorities and initiatives
Opportunity to influence key strategic decisions
Career growth, learning, and shared success opportunities
Support for deepening technical expertise and exploring leadership opportunities
Opportunities to learn new skills across multiple functions
Reasonable accommodation for individuals with disabilities
Equal employment opportunities and non-discrimination protections