Site Reliability Engineer

Who are we

Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, health care, and manufacturing.

The Role

• Plan, manage, and oversee all aspects of a Production Environment for Big Data Platforms.
  
• Define strategies for Application Performance Monitoring, Optimization in Prod environment
  
• Respond to Incidents and improvise platform based on feedback and measure the reduction of incidents over time.
  
• Ensures that batch production scheduling and process are accurate and timely.
  
• Able to create and execute queries to big data platform and relational data tables to identify process issues or to perform mass updates, preferred.
  
• Performs ad hoc requests from users such as data research, file manipulation/transfer, research of process issues, etc.
  
• Take a holistic approach to problem solving, by connecting the dots during a production event through the various technology stack that makes up the platform, to optimize meantime to recover.
  
• Engage in and improve the whole lifecycle of servicesfrom inception and design, through deployment, operation and refinement.
  
• Analyze ITSM activities of the platform and provide feedback loop to development teams on operational gaps or resiliency concerns.
  
• Support services before they go live through activities such as system design consulting, capacity planning and launch reviews.
  
• Support the application CI/CD pipeline for promoting software into higher environments through validation and operational gating, and lead  in DevOps automation and best practices.
  
• Maintain services once they are live by measuring and monitoring availability, latency and overall system health.
  
• Scale systems sustainably through mechanisms like automation and evolving systems by pushing for changes that improve reliability and velocity.
  
• Work with a global team spread across tech hubs in multiple geographies and time zones.
  
• Ability to share knowledge and explain processes and procedures to others.
  

Requirements

• Support day-to-day operations of Hadoop and Big Data platforms including HDFS, Nifi, YARN, Hive, Spark, Kafka, and ZooKeeper in non-prod and prod environments.
  
• Perform routine cluster administration tasks such as service restarts, monitoring, log analysis, and basic troubleshooting.
  
• Assist with Spark and Kafka pipeline support, issue triage, and incident resolution under guidance from senior engineers.
  
• Cloud platforms (AWS, Azure, PCF)
  
• Programming and scripting (Python, Go, Bash)
  
• Monitoring and observability tools
  
• DevOps and CI/CD practices
  
• Incident response and troubleshooting
  
• Execute standard operating procedures for upgrades, patching, certificate renewals, and access provisioning.
  
• Use Unix/Linux skills (shell scripting, process analysis, filesystem troubleshooting) to resolve platform issues.
  
• Contribute to automation efforts using Jenkins, Chef and/or Ansible, following existing playbooks and patterns.
  
• Work closely with application teams to onboard workloads and ensure adherence to platform standards.