14 days ago
India (city not specified)Staff+
Responsibilities
- Build and maintain tooling and infrastructure that enables autonomous data-pipeline delivery.
- Own monitoring, alerting, and data operations practices for a reliable platform.
- Operate Kafka for cross-team event-driven architecture.
- Deploy and maintain services and open-source Helm charts using Terraform and Kubernetes.
- Run high-throughput, low-latency processing on Databricks/Spark and cloud-native services on AWS.
- Support dbt transformations and Airflow or similar orchestration across the platform.
- Partner with product, analytics, and infrastructure teams on platform design and delivery.
- Troubleshoot production issues and drive corrective fixes.
- Adopt AI tools and automation to improve team performance, decision-making, and output quality.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or a related field.
- At least five years of experience building data or platform engineering systems in production.
- Strong coding skills in Python or Java.
- Experience operating production data platforms on AWS and supporting downstream teams.
- Hands-on experience with Kubernetes and Terraform.
- Experience running Kafka or a similar message broker in event-driven systems.
- Working knowledge of Databricks/Spark, dbt, and Airflow.
- Understanding of data modeling, data quality, and relational and non-relational databases such as Postgres and SQL Server.
- Familiarity with testing frameworks and observability tooling.
- Bonus: dashboarding, Flink or kdb, full commercial-system lifecycle development, and crypto experience.
Benefits
- Competitive base salary and discretionary bonus.
- Company-paid health and protective benefits for employees and eligible dependents.
- Free virtual coaching and counseling sessions.
- Opportunities to learn about the crypto industry.
- Employee Resource Groups.
- Benefits may vary depending on location.
Tech Stack
Apache AirflowApache FlinkApache KafkaApache SparkAWSDatabricksdbtHelmJavaKubernetesMicrosoft SQL ServerPostgreSQLPythonTerraform
Categories
Data EngineeringDevOps
About Galaxy
Galaxy provides an institutional digital-assets platform spanning trading, advisory, asset management, staking, self-custody, and tokenization, and it builds and operates AI/HPC data-center infrastructure. Founded in 2018 and headquartered in New York, the public company operates the Helios campus in Texas and is developing a multi-gigawatt U.S. capacity pipeline. It monetizes through fees, market activities, and infrastructure services for financial institutions and enterprises across North America, Europe, the Middle East, and Asia.