| Location | Atlanta, GA |
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Senior Data Platform/DevOps Engineer
Remote in Georgia, & 3 others
Data DevOps& 15 others
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We are seeking a driven and highly skilled Senior Data Platform/DevOps Engineer to join a leading company in the oil and gas industry.
In this role, you will work alongside Software Engineers, Machine Learning Engineers, and Data Engineers to understand their technical needs and help translate them into reliable, scalable data platform solutions.
You will contribute to building, maintaining, and improving Enterprise Data Platform components - including custom data and platform products that enhance reliability and accessibility - with guidance from senior team members where needed.
Responsibilities
Contribute to the design, deployment, and maintenance of on-premises, hybrid, and cloud data infrastructure
Build and improve custom data and platform products that increase reliability, accessibility, and ease of use for internal teams
Implement and support monitoring, alerting, and automation solutions to ensure platform reliability and performance
Assist with performance tuning and optimization of data platform components and storage engines
Apply data security best practices, including AAA, encryption, and secrets management to protect sensitive information
Communicate with internal customers (Software Engineers, Machine Learning Engineers, and Data Engineers) to gather feedback and support their day-to-day needs
Support platform upgrade and migration activities in line with the development roadmap
Requirements
3+ years of experience in similar roles (DevOps, DataOps, or DBA), including hands-on experience building custom data and platform products for reliability and accessibility
Background in Linux administration and core DevOps tooling
Expertise in Kubernetes (K8S), Git, and Vault for secrets management
Proficiency in distributed storage administration, including Ceph, along with object stores
Competency in CloudNativePG (CNPG), MongoDB, Neo4j, or etcd
Familiarity with data platform tools such as Trino, Apache Airflow, or Apache NiFi
Excellent command of written and spoken English (B2+ level)
Nice to have
Skills in CI/CD pipelines, Prometheus, and Grafana
Understanding of Data Lakehouse architecture on on-premises, hybrid, and/or cloud infrastructure
Knowledge of MinIO (S3 compatible) and Apache Iceberg
Experience with PostgreSQL, Elasticsearch, and Redis
Familiarity with Apache Spark and Apache Kafka
Capability to use Terraform and/or Ansible