Production Support Engineer

Compunnel

$75K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field
  • 5+ years of experience in IT
  • 2+ years in Level 3 Production Management with Java applications
  • Experience with Azure Cloud applications
  • Expertise in observability and reliability tools for cloud-native environments
  • Strong skills in analyzing and troubleshooting distributed applications
  • Experience with Python and Java codebases

Responsibilities

  • Maintain the stability and reliability of critical Settlements flow
  • Support systems and their end-users
  • Execute project tasks to enhance the production environment
  • Resolve complex technical and business challenges
  • Act as a liaison between support and development teams for incident resolution
  • Manage critical incidents and provide stakeholder communication
  • Enhance system performance and observability
  • Develop automated reliability solutions in collaboration with engineering teams
  • Implement telemetry systems for applications and APIs
  • Provide metrics data for SLIs and SLOs
  • Automate systems for increased uptime and risk mitigation

Benefits

  • Opportunity for significant career potential
  • Collaborative work environment with Software Developers and Infrastructure Engineering teams
  • Focus on enhancing system performance and reliability
  • Participation in cutting-edge cloud technologies
  • Engagement in a culture of sharing ideas and collaboration
Full Job Description
JOB SUMMARY
This role is responsible for the stability and resilience of critical Settlements flow, encompassing diverse technologies across on-premises and cloud platforms. The specialist will support systems and their end-users while dedicating equal time to project tasks aimed at improving the production environment. They will leverage technical and domain expertise to resolve complex technical and business challenges, acting as a liaison between support and development teams to ensure effective problem resolution within the production management team. This position requires managing critical incidents with concise communication, ensuring stakeholders are consistently updated. The focus will be on enhancing system performance, observability, scalability, and reliability by collaborating with Software Developers and Infrastructure Engineering teams to develop automated reliability solutions. The role involves implementing observability and telemetry systems for applications and APIs, providing data for SLIs and SLOs, and drill-down metrics. Automation will be used to evolve systems, increasing uptime velocity and mitigating risk, with an opportunity to improve codebase in a growing area offering significant career potential.

Key Responsibilities
• Maintain stability and resilience of critical Settlements flow.
• Support systems and their end-users.
• Perform project tasks to improve the production environment.
• Solve complex technical and business challenges using technical and domain expertise.
• Act as a buffer between support and development teams for production problem resolution.
• Manage critical incidents and communicate updates to stakeholders.
• Improve system performance, observability, scalability, and reliability.
• Automate reliability solutions with Software Developers and Infrastructure Engineering.
• Implement observability and telemetry systems for applications and APIs.
• Provide data for SLIs, SLOs, and drill-down metrics.
• Use automation to evolve systems, increase uptime, and mitigate risk.

Required Qualifications
• Bachelor's degree in Computer Science or related field.
• 5+ years of experience in the IT industry.
• At least 2 years in Level 3 Production Management in a multiple application environment with Java-based applications.
• Experience supporting applications deployed on Azure Cloud.
• Expert knowledge of observability and reliability tools and techniques in a cloud-native environment.
• Expertise in analyzing, debugging, and troubleshooting large-scale distributed applications across software, infrastructure, and database layers.
• Experience working with Python and Java codebases.
• Strong cross-team communication and collaboration skills.
• Eagerness to share ideas and openness to others' input.

Preferred Qualifications
• Terraform or GitHub.
• Azure Kubernetes, Azure Spring Apps, Azure Web Apps, Azure SQL, Kafka, Azure Service Bus.
• Experience instrumenting application services endpoints for logging, metrics, and events using Azure Monitor/Datadog/Prometheus/Grafana.
• Experience with observability design principles.

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