Production Support Engineer

VLink founded in 2006 is a leading global provider of software engineering services with next-gen technologies and best-in-class talent. Our Headquarters are in the U.S and we have offices in 7 countries from North America-Europe to APAC with expansion plans in the Middle East. With over 1000 employees working globally VLink has helped SMBs and large enterprises achieve their business goals and gained the trust of Fortune-250 companies. VLink is Great Place to Work CertifiedTM and has been a consistent winner as- Best Places to Work in CT. Trust collaboration and accountability are the three elements that are at the core of VLinks work culture. We value our professionals providing comprehensive benefits and the opportunity for growth.

• Provide L2/L3 production support for enterprise applications built with React Python APIs and microservices.

• Troubleshoot UI backend service integration database cache and application performance issues.

• Support MongoDB operations including data validation connectivity query performance and indexing issues.

• Monitor and troubleshoot Redis Cache availability memory utilization expiration and synchronization problems.

• Support AWS-hosted applications including React UI deployments Amazon S3 CloudFront and related cloud services.

• Use Dynatrace and Splunk for application monitoring log analysis distributed tracing alert investigation and dashboards.

• Manage production incidents participate in incident bridges perform root-cause analysis and implement preventive actions.

• Develop Python scripts to automate health checks log analysis operational reporting and repetitive support activities.

• Use Generative AI prompt engineering RAG and AI-assisted tools for incident summarization troubleshooting and knowledge management.

• Support releases maintain runbooks communicate with stakeholders and participate in rotational on-call support.

• Provide L2/L3 production support for enterprise applications developed using React Python APIs microservices MongoDB Redis and AWS services.

• Monitor application availability performance and reliability and proactively identify production risks and service degradation.

• Troubleshoot end-to-end issues across the UI backend services APIs integrations databases caching layers and cloud infrastructure.

• Support MongoDB operations including connectivity data validation query optimization indexing and performance troubleshooting.

• Monitor and resolve Redis Cache issues related to availability memory utilization key expiration data synchronization and application connectivity.

• Support AWS-hosted applications and deployments involving Amazon S3 CloudFront React UI components and related cloud services.

• Use Dynatrace and Splunk for log analysis distributed tracing alert investigation performance monitoring dashboarding and production diagnostics.

• Manage production incidents by performing impact assessment participating in incident bridges coordinating resolution completing root-cause analysis and implementing preventive actions.

• Develop Python-based automation for application health checks log analysis alert enrichment operational reporting and repetitive support activities.

• Apply Generative AI prompt engineering RAG and AI-assisted tools to accelerate incident analysis generate incident summaries support troubleshooting and improve knowledge management.

• Support application releases by completing readiness checks validating deployments monitoring post-release performance and coordinating rollback or remediation activities when required.

• Create and maintain runbooks standard operating procedures troubleshooting guides knowledge articles incident records and operational documentation.

• Communicate incident status risks technical findings and recovery progress clearly to business stakeholders development teams infrastructure teams and leadership.

• Participate in rotational on-call support and continuously improve application stability support efficiency monitoring coverage and incident prevention.

• 612 years of overall IT experience including at least 4 years of L2/L3 production support for enterprise and business-critical applications.

• Strong hands-on experience supporting applications developed using React Python REST APIs microservices MongoDB Redis Cache and AWS services.

• Experience troubleshooting end-to-end production issues across the UI backend services APIs integrations databases caching layers and cloud infrastructure.

• Experience designing and building an enterprise alerting framework for proactive monitoring alert correlation notification escalation and incident prevention.

• Experience supporting Doctor Tools and clinician-facing applications including application availability integrations workflow issues and production performance.

• Strong experience managing incident and change queues including ticket prioritization assignment SLA tracking technical analysis change validation stakeholder communication and timely closure.

• Experience supporting MongoDB including connectivity query performance indexing data validation and production troubleshooting.

• Working knowledge of Redis Cache including availability memory utilization key expiration synchronization connectivity and performance issues.

• Practical experience using AI tools Generative AI prompt engineering and RAG for incident analysis troubleshooting operational automation incident summarization and knowledge management.

• Experience supporting migrating and operating AI-enabled IVR and contact-center solutions including Sierra AI for Health Services Amazon Connect Outbound Doctor Tools and related AI tools covering integrations monitoring incident resolution production stability and continuous improvement.

• Experience supporting AWS-hosted applications involving Amazon S3 CloudFront application deployments monitoring and related AWS services.

• Strong experience using Dynatrace and Splunk for log analysis distributed tracing dashboarding alert investigation performance monitoring and root-cause analysis.

• Proven experience managing major incidents incident bridges problem management root-cause analysis corrective actions and preventive measures.

• Experience developing Python automation scripts for health checks log analysis alert enrichment operational reporting and repetitive support activities.

• Experience supporting production releases deployment validation post-release monitoring rollback coordination runbooks SOPs and knowledge documentation.

• Ability to participate in rotational on-call support and communicate effectively with business stakeholders client teams development teams infrastructure teams and leadership.

VLink is an equal opportunity employer committed to fostering an inclusive environment where diversity is celebrated. All qualified applicants will be considered for employment without regard to race color religion sex sexual orientation gender identity national origin disability or veteran status. Employment is contingent upon successful completion of a background check.

This job application process may use AI-powered tools to assist in screening and evaluating applications based on objective job-related qualifications. AI is used solely to support the recruitment process and all final hiring decisions are made exclusively by our human recruitment team.

Applicant information will be handled in accordance with VLinks privacy policy.