Enveda Therapeutics, Inc. (d/b/a/ Enveda) seeks Sr. Software Engineer in Boulder, CO.
SOC Job Code: 15-1252
Job Duties: Design, build, and maintain scalable infrastructure for data engineering and analytics workloads in Databricks and Azure. Collaborate with data scientists, platform engineers, and DevOps to enable seamless integration between Databricks, data lakes, and other cloud services. Implement and manage CI/CD pipelines, infrastructure as code (Pulumi) and monitoring systems to support data platform operations. Drive improvements in security, observability, and automation for Azure and Databricks clusters, jobs, and user environments. Mentor junior engineers and contribute to infrastructure best practices, documentation, and internal tooling development.
Job Requirements: Bachelor’s degree in computer science, information science, software engineering, data engineering, or a related field and five (5) years of related employment experience. Position requires five (5) years of experience with the following: Python; Administration of cloud services AWS and/or Azure; Infrastructure as code tools (e.g., Terraform, Pulumi, or cloud formation); Databricks or equivalent distributed computing frameworks; Data engineering pipelines, orchestration tools (e.g. Airflow, Dagster, or Prefect), and workflow management; CI/CD pipelines, GitOps, and Container orchestration (e.g. Docker, Kubernetes); Monitoring and observability tools (e.g. Grafana, DataDog, Prometheus, Cloudwatch).
Position allows telecommuting.
Salary offered: $225,680/yr. + 90% Medical, Dental, Vision | 401k Match | Flexible PTO | Adoption Assistance
Send CV to: [https://jobs.lever.co/enveda/fb5c55c1-1fb9-42bb-a47f-d5e1c46b65e4], Ref: #SSE-BCO
#LI-DNI
Skills Required
- Bachelor's degree in computer science, information science, software engineering, data engineering, or related field.
- Five years of related employment experience.
- Five years experience with Python.
- Five years administration of cloud services (AWS and/or Azure).
- Five years with infrastructure-as-code tools (Terraform, Pulumi, or CloudFormation).
- Five years with Databricks or equivalent distributed computing frameworks.
- Five years with data engineering pipelines and orchestration tools (Airflow, Dagster, or Prefect).
- Five years with CI/CD pipelines, GitOps, and container orchestration (Docker, Kubernetes).
- Five years with monitoring and observability tools (Grafana, DataDog, Prometheus, CloudWatch).
What We Do
At Enveda, we are systematically translating molecules found in medicinal plants into new drugs for challenging diseases. Our platform harnesses nature's complexity with the help of cutting-edge advancements in knowledge graphs, machine learning, and metabolomics.
