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Key skills for this role
We're looking for Platform Engineers who combine strong infrastructure chops with real backend engineering depth. You'll build and operate the systems, services, and agent infrastructure that let product teams move fast and reliably — from data access layers and event-driven pipelines to the agent first architecture that will transform our ability to scale. Your work will directly allow us to scale the amount of high quality data we are able to deliver to our customers.
We are looking to grow our team of Platform Engineers, and are hiring at multiple levels.
What You'll Do
Design and build agent infrastructure that allows us to safely and reliably speed up workflows from engineering and operation teams
Design and implement event-driven data flows using event brokers, CDC connectors, schema registries, event routing, and dead letter queues — ensuring events flow reliably and failures are visible and recoverable
Build the systems that track how data moves through the platform (lineage), enforce who can access what (governance and RBAC), and log what happened (auditing), including PII handling, retention policy enforcement, and audit infrastructure for enterprise and regulatory compliance
Set strategy and architecture for build systems, testing frameworks, and CI/CD pipelines, and drive the transition toward robust, automated continuous deployment
Instrument services with OpenTelemetry, define and monitor SLOs (query latency, pipeline success rates, service reliability), and build alerting that catches issues before they become incidents — you will be on-call for the systems you build
Contribute to infrastructure cost visibility and optimization — query cost estimation, workload right-sizing, and routing data to the most cost-effective storage tier for its access pattern
Collaborate with engineers, product managers, and designers to bring consistency and high standards to codebases, infrastructure, and processes
What You'll Bring
5+ years building platform infrastructure, backend services, or data systems in production — you have built and operated pipelines, data access layers, distributed services, or ETL/ELT systems at scale
Strong proficiency in Python, and experience designing REST APIs for internal services and developers
Strong background in distributed systems and cloud platforms (AWS preferred) — hands-on experience with services like S3, RDS, EKS, EventBridge, and IAM, and comfort working in a Terraform-managed environment
Familiarity with data orchestration tools (Prefect, Airflow, or Dagster) and transformation frameworks (dbt)
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Understanding of data governance concepts — RBAC, PII handling, audit logging, data lineage
Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact
Ability to work in a fast-paced environment with strong technical communication skills
Fluency with modern developer tooling and a willingness to adopt new tools quickly — the team evaluates and integrates new tooling regularly to improve velocity and reliability
Nice to Have
Experience building shared libraries or SDKs consumed by multiple teams — versioning, backwards compatibility, migration support
Experience with event-driven architectures — CDC, event buses, schema registries, at-least-once delivery semantics
Experience with OpenTelemetry, ClickHouse, or similar observability infrastructure
Prior work in regulated environments (SOC 2, FedRAMP, HIPAA) where compliance requirements shaped system design
Experience with Ray or similar frameworks for distributed compute workloads
Experience in hyper-growth startup environments or scaling engineering orgs
Prior experience as a Tech Lead, Team Lead, or hands-on Engineering Manager
Why This Role
You'll have meaningful ownership over the infrastructure and services that every product team and customer deployment depends on. This isn't a maintenance role — you'll be making foundational architecture decisions that shape how the company scales, with a team that cares deeply about reliability, craft, and moving fast without breaking things.
Snorkel is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel embraces diversity and provides equal employment opportunities to all employees and applicants for employment.
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of 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 law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We're looking for Platform Engineers who combine strong infrastructure chops with real backend engineering depth. You'll build and operate the systems, services, and agent infrastructure that let product teams move fast and reliably — from data access layers and event-driven pipelines to the agent first architecture that will transform our ability to scale. Your work will directly allow us to scale the amount of high quality data we are able to deliver to our customers.
We are looking to grow our team of Platform Engineers, and are hiring at multiple levels.
What You'll Do
Design and build agent infrastructure that allows us to safely and reliably speed up workflows from engineering and operation teams
Design and implement event-driven data flows using event brokers, CDC connectors, schema registries, event routing, and dead letter queues — ensuring events flow reliably and failures are visible and recoverable
Build the systems that track how data moves through the platform (lineage), enforce who can access what (governance and RBAC), and log what happened (auditing), including PII handling, retention policy enforcement, and audit infrastructure for enterprise and regulatory compliance
Set strategy and architecture for build systems, testing frameworks, and CI/CD pipelines, and drive the transition toward robust, automated continuous deployment
Instrument services with OpenTelemetry, define and monitor SLOs (query latency, pipeline success rates, service reliability), and build alerting that catches issues before they become incidents — you will be on-call for the systems you build
Contribute to infrastructure cost visibility and optimization — query cost estimation, workload right-sizing, and routing data to the most cost-effective storage tier for its access pattern
Collaborate with engineers, product managers, and designers to bring consistency and high standards to codebases, infrastructure, and processes
What You'll Bring
5+ years building platform infrastructure, backend services, or data systems in production — you have built and operated pipelines, data access layers, distributed services, or ETL/ELT systems at scale
Strong proficiency in Python, and experience designing REST APIs for internal services and developers
Strong background in distributed systems and cloud platforms (AWS preferred) — hands-on experience with services like S3, RDS, EKS, EventBridge, and IAM, and comfort working in a Terraform-managed environment
Familiarity with data orchestration tools (Prefect, Airflow, or Dagster) and transformation frameworks (dbt)
Understanding of data governance concepts — RBAC, PII handling, audit logging, data lineage
Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact
Ability to work in a fast-paced environment with strong technical communication skills
Fluency with modern developer tooling and a willingness to adopt new tools quickly — the team evaluates and integrates new tooling regularly to improve velocity and reliability
Nice to Have
Experience building shared libraries or SDKs consumed by multiple teams — versioning, backwards compatibility, migration support
Experience with event-driven architectures — CDC, event buses, schema registries, at-least-once delivery semantics
Experience with OpenTelemetry, ClickHouse, or similar observability infrastructure
Prior work in regulated environments (SOC 2, FedRAMP, HIPAA) where compliance requirements shaped system design
Experience with Ray or similar frameworks for distributed compute workloads
Experience in hyper-growth startup environments or scaling engineering orgs
Prior experience as a Tech Lead, Team Lead, or hands-on Engineering Manager
Why This Role
You'll have meaningful ownership over the infrastructure and services that every product team and customer deployment depends on. This isn't a maintenance role — you'll be making foundational architecture decisions that shape how the company scales, with a team that cares deeply about reliability, craft, and moving fast without breaking things.
Snorkel is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel embraces diversity and provides equal employment opportunities to all employees and applicants for employment.
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of 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 law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Snorkel AI delivers high-quality specialized datasets for training frontier large language models and enterprise AI, using programmatic labeling and data-centric approaches to accelerate model development.
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