Senior Full Stack Developer at E - INFOSOL developing cloud applications and supporting Java solutions. Collaborating with teams and managing cloud infrastructure in a secure environment.
About the role
- Software Engineer developing scalable data platforms for Benchling's biotechnology solutions. Collaborating with teams to build data-driven capabilities for internal and external customers.
Responsibilities
- Build next generation Data Platform with scalable data ingress/egress for internal and external customers
- Define and design data transformations and pipelines for cross-functional datasets, while ensuring that data integrity and data privacy are first-class concerns regarded proactively, instead of reactively
- Define the right Service Level Objectives for the batch & streaming pipelines, and optimize their performance
- Designing and creating CI/CD pipelines for platform provisioning, full lifecycle management. Building the platform control panel to operate the fleet of systems efficiently
- Work closely with the team across Application and Platform to establish best practices around usage of our data platform
Requirements
- Have 2+ years of experience or a proven track record in software engineering
- Strong experience in backend engineering and distributed systems
- Strong experience with scripting language (such as Python)
- Experience with deployment and configuration management frameworks such as Terraform, Ansible, or Chef and container management systems such as Kubernetes or Amazon ECS
- Driven by creating positive impact for our customers and Benchling's business, and ultimately accelerating the pace of research in the Life Sciences
- Comfortable with complexity in the short term but can build towards simplicity in the long term
- Strong communicator with both words and data - you understand what it takes to go from raw data to something a human understands
- Willing to work onsite in our SF office 3 days a week
- Experience with data analytics and warehouse solutions (e.g. Snowflake, Delta Lake), data processing technologies (e.g. Kafka, Spark), schema design, and SQL are a plus!
Benefits
- Competitive total rewards package
- Broad range of medical, dental, and vision plans for employees and their dependents
- Fertility healthcare and family-forming benefits
- Four months of fully paid parental leave
- 401(k) + Employer Match
- Commuter benefits for in-office employees and a generous home office set up stipend for remote employees
- Mental health benefits, including therapy and coaching, for employees and their dependents
- Monthly Wellness stipend
- Learning and development stipend
- Generous and flexible vacation
- Company-wide Winter holiday shutdown
- Sabbaticals for 5-year and 10-year anniversaries
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