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L2 / L3 Production Support

L2 / L3 Production Support

LuxoftBengaluru, Karnataka, India
14 days ago
Job description

Project Description :

Luxoft is one of the leading service provider for Banking and Capital Market customers.

Luxoft has been engaged by an large Australian bank for providing L1 / L2 Application Monitoring and Production Support services for business-critical applications and interfaces on 24 / 5 basis on a managed outcome basis in the Global Markets business area. We are looking for motivated individuals who have relevant skills & experience and are willing to work in shifts.

Responsibilities :

  • Develop and maintain Unix shell scripts for automation tasks.
  • Write and optimize Python scripts for process automation and data handling.
  • Design, implement, and maintain scalable cloud infrastructure using AWS services (EC2, S3, Lambda, etc.).
  • Monitor and troubleshoot cloud environments for optimal performance.
  • Monitor and optimize system resources and automate routine administrative tasks and BAU tasks.
  • Production Environment monitoring & Issue Resolution.
  • Control SLA and notify management or the client in case of unexpected behavior.
  • Support end-to-end data flows and health and sanity checks of the systems and applications.
  • Escalate the issues (internally to Group lead / PM) with environment and application health.
  • Logs review and data discovery in database tables for investigation of workflow failures.
  • Investigate and supply analysis to fix application / configuration issues in the production environment.
  • Contact / chase responsible support / upstream / downstream / cross teams and ask for root cause analysis from them on issues preventing end-to-end flow to work as designed.
  • Regular update on issue status until addressed, notifying the client on status changes; expected time to address.
  • Participate in ad-hoc / regular status calls on application health with the client to discuss critical defects / health check status.
  • Working with business users service requests, which includes investigation of business logic and application behavior.
  • Work with different data format transformation processes (XML, Pipeline).
  • Work with source control tools (GIT / SVN) in order to investigate configuration or data transformation-related issues.
  • Work with middleware and schedulers on data flow and batch process control.
  • Focus on continuous proactive service improvement and continuous learning.
  • Ensure customer service excellence and guaranteed response within SLA timeline by actively monitoring support emails / tickets and actively working on them till the issue is fully remediated.
  • Ensuring all incident tickets are resolved in a timely and comprehensive manner.
  • Track and identify frequently occurring, high-impact support issues as candidates for permanent resolution.
  • Bachelor's Degree from a reputed university with good passing scores.

Mandatory Skills Description :

  • 7 to 12 years as a L2 / L3 Production Support along with Site Reliability Engineer having strong knowledge of Unix shell scripting
  • Develop and maintain Unix shell scripts for automation tasks.
  • Write and optimize Python or Shell scripts for process automation and data handling. Good knowledge of any scripting language would be fine.
  • Basic Knowledge on AWS services (EC2, S3, etc.).
  • Monitor and optimize system resources and automate routine administrative tasks and BAU tasks.
  • Good Understanding of Incident / Change / Problem Management process.
  • Required Skills :

  • Strong experience with Unix Shell Scripting.
  • Proficiency in Python Scripting for automation. Proficiency in any scripting language and have hands-on experience in automation.
  • Strong Knowledge of Database
  • Basic understanding of AWS services and cloud
  • Basic knowledge and experience supporting cloud applications.
  • Ability to troubleshoot and resolve technical issues in a Production Environment.
  • Nice-to-Have Skills Description :

  • Experience with containers (Docker, Kubernetes).
  • Familiarity with CI / CD pipelines, version control systems (e.g., Git).
  • Knowledge of Infrastructure-as-Code tools like Terraform.
  • Strong problem-solving and communication skills.
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