Technical Lead(APP Cloud Amazon AWS)

• Orchestrating the design, deployment, and support of products in a Hybrid environment - BareMetal, Open Stack, and AWS.
  
• Researching and implementing solutions for fault tolerance, performance, capacity, and maintainability.
  
• Working in a CI/CD environment with a dedicated team of engineers and technologies including: Hadoop, Aerospike, Elasticsearch, HBase, Storm, Java, MySQL and more.
  
• Safeguarding services and infrastructure by performing security-related projects and tasks.
  
• Provide Tier 2 support to issues escalated from the NOC team. Work with development teams to resolve Tier 3 issues.
  
• Serve in a 24/7 on-call rotation as an escalation contact for service trouble incidents.
  
• Design, develop, and implement documentation and/or tools to facilitate the Operations and NOC team responsibilities and application maintenance
  

Required Technical Skills and Experience:

• Experience working with big data technologies i.e. Hadoop, Storm, Hbase, Hive, Kafka and/or other open source technologies related to this area.
  
• Data Operations experience - supporting revenue critical ETL jobs in a complex environment with thousands of realtime and batch pipelines. Up & Downstream data availability troubleshooting. Log and data integrity debugging
  
• Experience deploying and maintaining Low Latency Key Value DataStores: Aerospike; Redis; MemCache preferred.
  
• Hands-on Linux administration experience (RHEL or CentOS), including high availability, configuration, security, and patch management.
  
• Understanding of Linux network stack TCP/IP, HTTP, and DNS.
  
• Experience managing large server fleets is highly desired, using CI/CD tools, like Ansible, Terraform, Packer
  
• Hands-on experience with Git.
  
• Ability to participate in a rotating 24/7 on-call schedule.
  
• Experience with scripting languages such as Bash, Python, or Ruby preferred.
  
• Functional experience in relational databases and SQL. Should be capable enough in SQL to author data extraction queries to investigate performance and troubleshooting