Hudson Manpower
Platform Engineer III
Cincinnati, Ohio, United States · Mid
Sponsorship not specifiedDetected 404 days ago
JavaScriptPythonJavaRubyPHPElixirAWSGCPDockerKubernetesAnsibleLinuxPlatform EngineeringKafkaSparkData EngineeringCybersecurityHadoop
About the role
- Job Title: Platform Engineer III Location: Remote USA TOP SKILLS: comprehensive vulnerability management Java Platform Engineering What You'll Do Responsible for building outstanding software solutions to drive the success of a business. Build various aspects of the company's infrastructure to power innumerable conversations at scale. Primary
- Responsibilities: • Maintain the company platform uptime, performance, stability, and scalability • Design, guide, mentor and challenge system architecture and design with others • Develop and maintain a public API • Develop best possible, most robust, and extensible solutions from feature requests • Work with big data technology (Kafka, Hadoop, Spark, etc)
Responsibilities
- Maintain the company platform uptime, performance, stability, and scalability
- Design, guide, mentor and challenge system architecture and design with others
- Develop and maintain a public API
- Develop best possible, most robust, and extensible solutions from feature requests
- Work with Data Scientists to develop rich value-added features
- Work with DBA to create ETL and Data Warehouse system
- Define and implement various strategies covering everything from subnets to backups to fog networking/computing configuration and deployments.
- Define and implement deployment strategies for client-facing and internal tool systems.
Requirements
- Experience in software/systems development.
- Working knowledge of at least one of the following languages: PHP, Ruby, Python, JavaScript, Elixir, Go or comparable.
- Strong experience with cloud providers such as AWS, Digital Ocean, Google Cloud, etc.
- Strong understanding of IT security best practices.
- Experience with automation/configuration software (puppet, ansible), and/or orchestration software (docker swarm, kubernetes, etc).
- Experience with administration of at production scale.
Benefits
- Building tools and processes to support analytics, monitoring, machine-learning and data-warehousing platforms.
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