Production Support Engineer - React, Python, AWS & Microservices

Category: Software Development/ Engineering

Main location: United States, Louisiana, Lafayette

Position ID:J0826-1997

Employment Type: Full Time

Position Description:

We are seeking an experienced Production Support Engineer to provide L2/L3 production support for enterprise applications built using React, Python, APIs, and microservices architecture. The ideal candidate will have strong troubleshooting and application support experience across front-end, backend, database, caching, integrations, and cloud environments.

The role requires a hands-on problem solver who can investigate complex production issues, analyze application and infrastructure logs, perform root cause analysis, automate operational activities using Python, and collaborate effectively with development, infrastructure, database, and business teams. Experience with AWS, MongoDB, Redis, Dynatrace, Splunk, and Generative AI technologies is highly desirable.

This is a Full-Time, On-Site employment opportunity located in Bloomfield, CT or Lafayette, LA in a Hybrid Model.

Your future duties and responsibilities:

. 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.

Required qualifications to be successful in this role:

At least 6-8 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 Kore.ai, 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.
. 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.

Education: Bachelor's degree in computer science or related field.

#LI-ARK1

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $80,600.00 $218,200.00.

CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
. Learning opportunities and tuition assistance
. Wellness and Well-being programs

Skills:

• Artificial Intelligence
• Dynatrace
• Full Stack Development
• Java
• Microservices
• React JavaScript
• Typescript
• Production Control&Management