Lead Application Support Engineer-Java/AWS

CGI•Pittsburgh, PA

1d•Onsite

About The Position

CGI is seeking a highly skilled Senior Application Support & Maintenance Engineer to support and enhance a business-critical enterprise application ecosystem. The role provides Level 2/3 production support, application maintenance, incident resolution, root cause analysis, release management, and continuous improvement across cloud-native applications, enterprise middleware, databases, integrations, and containerized workloads. It requires strong technical expertise and troubleshooting skills, and experience working in an ITIL-based Application Managed Services (AMS) environment supporting mission-critical operations. The engineer will also use AI-enabled tools and automation platforms to improve service quality, reduce resolution times, and optimize platform performance. The position must be performed onsite at the client’s office in Pittsburgh, Pennsylvania. The role supports a 24x7 on-call rotation for critical production incidents.

Requirements

At least 8 years supporting enterprise applications in production environments.
At least 5 years of Java full-stack development experience.
Experience working with Git and Maven.
Hands-on experience with Angular and AngularJS.
Experience working with RESTful web services.
Experience supporting large-scale integrated applications.
Experience with AWS cloud environments and containerized platforms.
Experience leading production incident resolution efforts.
Experience with Agile, Scrum, and DevOps delivery models.
Hands-on experience performing production root cause analysis and defect management.
Experience gathering and analyzing business and functional requirements.
Strong knowledge of Agile methodologies and SDLC practices.
Bachelor’s degree in Information Systems or a related field is listed as optional.
Ability to work onsite at the client’s Pittsburgh, Pennsylvania office.

Nice To Haves

Experience in telecommunications, utilities, infrastructure, or similarly complex enterprise environments.
Previous Application Managed Services (AMS) experience.
AWS Certified Developer Associate certification.
AWS Solutions Architect Associate certification.
Oracle Certified Java Professional certification.
Oracle WebLogic certification.
Oracle BPM/SOA certification.
ITIL Foundation v4 certification.
Certified Kubernetes Application Developer (CKAD) certification.
Jenkins Certified Engineer certification.
Microsoft Azure Fundamentals certification.
AI or Generative AI certifications, such as Copilot, AWS AI, or Azure AI.

Responsibilities

Provide Level 2/3 support for business-critical production applications.
Collaborate with Level 2/3 support teams, infrastructure teams, architects, and business stakeholders during major incidents.
Investigate and resolve complex application, integration, database, and middleware issues.
Lead troubleshooting for Priority 1 and Priority 2 incidents.
Perform root cause analysis and implement permanent corrective actions.
Develop, maintain, and enhance enterprise applications and APIs.
Implement approved change requests and platform improvements.
Analyze system requirements and provide technical solution recommendations.
Refactor legacy applications and support modernization initiatives.
Participate in code reviews and enforce development standards.
Support technical debt remediation activities.
Support application deployments across development, test, staging, and production environments.
Coordinate release validation, rollback planning, and deployment readiness activities.
Participate in change management and CAB reviews.
Support CI/CD pipeline implementation and maintenance.
Support applications hosted on AWS cloud environments.
Troubleshoot containerized applications running on Docker and Kubernetes/EKS.
Monitor application performance, availability, and reliability.
Assist with cloud infrastructure automation and operational improvements.
Participate in capacity planning and performance optimization initiatives.
Use AI-assisted operational support tools to improve incident detection and resolution.
Leverage Microsoft Copilot and AI-driven analytics platforms to accelerate problem investigation.
Identify opportunities for automation and self-healing capabilities.
Maintain runbooks, technical documentation, knowledge articles, and operational procedures.
Support cross-training activities and knowledge transfer sessions.
Contribute service improvement recommendations.
Ensure operational knowledge is documented and retained across the support organization.
Participate in a 24x7 on-call rotation for critical production incidents.