Platform automation Engineer

Intuitive•Sunnyvale, CA

21h•$174,300 - $295,000•Onsite

About The Position

Platform software engineer focused on eliminating manual toil across our data and analytics platform. You'll identify automation opportunities, build CI/CD pipelines, implement infrastructure-as-code, and create self-service tooling for our multi-cloud environment (AWS, Snowflake, Databricks, Airflow). Bridge data engineering and application development teams while systematically reducing operational overhead.

Requirements

5+ years in DevOps, platform engineering, or system software engineering roles
Proficiency in Python, SQL, and at least one compiled or VM language (C++, Java, C#, Go)
Strong experience with CI/CD tools and workflows (Git, github actions)
Strong Git skills including branching strategies and code review
Deep experience with infrastructure-as-code (Terraform/Terragrunt, Ansible, etc.)
Hands-on experience with AWS, Snowflake, Databricks, and Airflow
Familiarity with containerization (Docker, Kubernetes, ECS) and configuration management tools
Understanding of data pipeline architectures, orchestration patterns, and data analytics and ML concepts
Experience with automated testing, observability tools, and security best practices
Analytical mindset to identify automation opportunities and assess ROI
Strong communication and collaboration across technical teams
Pragmatic approach balancing ideal solutions with practical delivery
Self-motivated to proactively identify and address inefficiencies

Nice To Haves

Experience with additional data tools and platforms (Fivetran, dbt, airflow, Tableau, Posit)
Knowledge of event-driven architectures and streaming platforms (Kafka, Kinesis)
Familiarity with service mesh and API gateway patterns
Experience with policy-as-code tools (OPA, Sentinel, Cloud Custodian)
Background in software engineering or site reliability engineering
Certifications in AWS, Terraform, or relevant platforms

Responsibilities

Identify and prioritize automation opportunities by observing team workflows, analyzing manual processes, and assessing ROI and risk reduction
Design and implement integration patterns between platform components (AWS, Snowflake, Databricks, Airflow, dbt)
Build CI/CD pipelines for infrastructure, data pipelines, and application deployments using GitOps workflows
Develop infrastructure-as-code solutions using Terraform/CloudFormation for AWS, Snowflake, Databricks, and Airflow
Create self-service automation tools and monitoring solutions that enable team independence
Establish standards, testing frameworks, and deployment strategies for cross-platform automation
Collaborate with data engineering and application teams on automation needs, technical design, and best practices