Python Developer

Contractual | Long Term | INCIDENT MANAGEMENT , CLOUDBEES , ECS , ELASTIC SEARCH
Remote, USA
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Currently, we are looking for talented resources for one of our listed clients. If interested please reply to me with your updated resume or feel free to reach out to me for more details at 949-630-0325.


Title: Python Developer
Location: Remote
Duration: Long Term

 

Job Description:

  • Monitoring, Alerting and Communication
  • Manage and monitor production systems
  • Application Availability & performance issues
  • Data and Integration issues
  • Stakeholder communication 
  • Incident Management and root cause analysis
  • Facilitate the incident management
  • Guide the team on root cause analysis
  • Manage performance metrics
  • Work with stakeholders to identify & define the service level indicators and objectives
  • Measure and report the performance metrics
  • Program Fixes
  • Perform code changes addressing performance degradation 
  • Automation and tools
  • Work with the service delivery teams in developing and testing automation of repetitive and manual efforts.
  • Work closely with engineering teams on monitoring and performance management tools initiatives to improve system reliability and performance.
  • Team building
  • Help teams transition to SRE mind set 
  • Help with SRE adoption across teams

Qualifications:

  • Experience with monitoring and observability systems like Dynatrace, CA APM, Splunk etc
  • Experience in one or more programming languages Python, Java, Scala, PySpark as well as exposure to older programming languages
  • Experience with build and deployment pipeline technologies like Jenkins, Cloudbees, Terraform, UrbanCode Deploy, Ansible, Maven, GitHub
  • Experience working with relational databases or HDFS or cloud storage
  • Hands on experiences in AWS technologies – Cloud Watch, Step Functions, Lambda, Glue, EC2, Redshift, DynamoDB, SQS, ECS/EKS, Elastic Search, SnowFlake, Elastic Cache, databricks, TerraForm to name a few
  • Exposure to containerization – Docker and Kubernetes
  • Experiences with additional enterprise technologies: OpenShift, Kafka, Redhat, DataBricks