Senior Full Stack Engineer responsible for developing and integrating AI tools in a HealthTech startup, providing impactful solutions for therapists' workflows.
About the role
- Platform Engineer responsible for building and managing Kubernetes platforms for Spark workloads at Comcast. Collaborating with data teams to ensure efficient data processing and cost optimization.
Responsibilities
- Architecting and managing platforms where Spark runs, such as Kubernetes clusters or cloud services
- Packaging Spark workloads and integrating with orchestration systems like Apache Flyte
- Deploying Infrastructure via Terraform/Ansible
- Troubleshooting job failures and execution anomalies
- Optimizing Spark configurations to reduce costs
- Building automation and tools in languages like Python, Java, or Scala
- Writing medium to complex SQL Queries
- Implementing monitoring systems for platform stability
- Working closely with data engineers and scientists
- Engaging with open-source communities to discuss technical challenges
- Creating and maintaining documentation for Kubernetes infrastructure
- Providing training and support to team members
Requirements
- Bachelor's degree in computer science or a related field, or equivalent experience
- Expertise in Apache Spark
- Proficiency in Python, Pyspark, and Scala/Java
- Proficient in Linux Scripting (Bash)
- Proficient in writing SQL
- Experience in CI/CD tools, Github
- Experience in using observability tools like Prometheus, Grafana
- Knowledge of networking concepts like TCP/IP, DNS, Load Balancer
- Automation via Terraform/Ansible
- Hands-on experience with cloud providers (AWS, Azure, GCP)
- Familiarity with technologies like Delta Lake, Apache Iceberg, Apache Kafka, Hadoop
- Strong analytical skills for debugging complex issues
- Strong communication and collaboration abilities
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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