Staff Software Engineer - Machine Learning Platform & Pipelines
Job Description
- Experience working directly with Data Science teams and with machine learning technologies , specifically jupyter notebooks and kubeflow
- Ability to build and maintain CI/CD pipelines
- Knowledge of big data technologies - apache spark and flink
- Experience working with multiple teams at the same time
- Experience designing best-in-class systems for high availability and low latency
- Experience with build pipelines and tools like Gradle and Teamcity
Tech Stack:
- AWS, GCP, Azure
- Kubernetes, Docker, gRPC, Linux
- Kubeflow, Spark, EMR, Airflow, Looker, Flink
- Redshift, MySQL, Cassandra, DynamoDB
- Java, Python, Typescript, Groovy, Gradle, Kotlin, Scala
- Teamcity, GitHub Actions
- Terraform, Cloudformation
- ELK, Loggly, Datadog, Prometheus, Grafana, PagerDuty
Responsibilities :
- Establish and contribute to system design and architecture
- Provide system-level and design feedback on architecture and implementation plans
- Actively work alongside internal stakeholders to manage and prioritize engineering initiatives, infrastructure changes, maintenance, and new feature requests.
- Mentor and coach team members individually with the right balance of direction and support.
- Establish and provide technical vision and help set the direction for technology areas
- Implement technical solutions to problems and new features.
Qualifications
- 5+ years of relevant software development experience
- Programming across multiple languages
- Ability to understand product requirements and develop innovative solutions across the full technology stack.
- Excellent problem-solving skills
- Excellent communication skills
#LI-Remote
(Colorado and New York City only*) Minimum salary of $ 190,000 + bonus + equity + benefits. Our salaries are determined by role, level, and location. The salary minimum displayed on each job posting reflects the minimum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation listed in US role postings reflect the base salary only, and does not include bonus, equity, or benefits.
Benefits in our US offices:
- 4-day workweek
- Discretionary Time Off Policy (Unlimited!)
- BetterHelp Online Therapy Membership
- Dedicated learning budget through Learnerbly
- 401K Match
- Stock Options
- Annual Performance Bonus or Commissions
- Paid Parental Leave (12 weeks)
- Health Insurance
- Dental Insurance
- Vision Insurance
- Flexible Spending Account (FSA)
- Short Term and Long Term Disability Insurance
- Life Insurance
- Company Social Events
- Signifyd Swag
Date Posted
12/19/2022
Views
7
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