Data Engineering / Software Engineer

Technical requirements

• This is a hands-on engineering role requiring strong operational experience supporting mission-critical production environments while driving platform modernization initiatives.
• In this role you will:
• Design, deploy, administer, and optimize enterprise Big Data platforms.
• Manage and support distributed technologies including: Apache Kafka, Hadoop / MapR, Aerospike.
• Build highly available, scalable, and resilient data infrastructure across multiple data centers.
• Perform capacity planning, performance tuning, troubleshooting, and root cause analysis for production environments.
• Automate infrastructure deployment, configuration management, and operational workflows using Infrastructure as Code and scripting.
• Collaborate with Software Engineering, Data Engineering, SRE, and Database teams to support new applications and platform requirements.
• Implement monitoring, alerting, and observability solutions to ensure platform health and availability.
• Participate in production support and on-call rotations for critical infrastructure.
• We’re looking for someone with:
• 4+ years of experience supporting large-scale Linux infrastructure.
• 4+ years of experience administering distributed Big Data platforms.
• Strong experience with Apache Kafka, Hadoop (MapR, Cloudera, Apache Hadoop, or similar), and Aerospike.
• Strong Linux system administration experience (RHEL, Rocky Linux, CentOS).
• Experience with relational databases such as PostgreSQL and MySQL.
• Experience troubleshooting distributed systems in production environments.
• Strong knowledge of networking fundamentals including DNS, TCP/IP, load balancing, and security.
• Experience with shell scripting (Bash, Python, or similar).
• Experience with monitoring platforms such as Grafana, Prometheus, Graphite, or similar.
• Experience working in highly available, 24x7 production environments.
• Ability to work independently in a fast-paced production environment.
• Passion for automation, operational excellence, and continuous improvement.
• Experience with Kubernetes and containerized workloads.
• Experience with Ceph or other distributed storage platforms.
• Experience with Infrastructure as Code tools such as Terraform or Spacelift.
• Experience with configuration management tools such as Puppet or Ansible.
• Experience with cloud platforms (AWS).
• Familiarity with CI/CD pipelines and DevOps practices.

Pay: From $140,000.00 per year

Work Location: Remote