Job Description

Primary Function of 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.

Job 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

Qualifications

Required Qualifications
Technical Skills
• 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

Working Style
• 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

Preferred Qualifications
• 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

What You'll Deliver
• CI/CD pipelines for infrastructure, data, and application deployments
• Infrastructure-as-code modules for AWS, Snowflake, Databricks, and Airflow
• Self-service tools and automation frameworks
• Integration patterns and monitoring solutions
• Automation roadmaps with ROI analysis
• Documentation and runbooks

Education
• Minimum Education Bachelor's degree in computer science or similar

Engagement Details
• Type: Full-time position
• Duration: Ongoing
• Location: Onsite/Sunnyvale, CA
• Travel: Minimal

Additional Information

Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.

We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.