> Markdown version of [/jobs/ext/4562216-senior-aws-production-support-engineer](https://www.wearedevelopers.com/jobs/ext/4562216-senior-aws-production-support-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior AWS Production Support Engineer *

- **Company:** Cgi Inc.
- **Location:** Lafayette, CA, United States
- **Experience:** Expert
- **Salary:** $95,700.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Automation of Tests, Cloud Computing, Information Systems, Databases, Continuous Integration, DevOps, Domain Name System (DNS), Network Troubleshooting, Routing, Release Management, Apigee, Firewalls (Computer Science), Backend, Gitlab, Git, Gitlab-ci, Kubernetes, Information Technology, Low Latency, Deployment Automation, Performance Monitor, ArcSight Event Correlation, Cloudwatch, Splunk, Servicenow
- **Published:** November 4, 2026
- **Apply:** https://www.juju.com/job/7_F6D613739652687B2AB6495F760962B1

## About the Role

Position Description:CGI is seeking an Senior AWS Production Support Engineer with 5+ years of experience supporting production applications and enterprise infrastructure in AWS and hybrid environments.
This role supports critical applications, APIs, and shared services in a financial services environment, with a focus on troubleshooting, observability, incident management, and release support. This position is required in one of the following locations: Lafayette, LA, Knoxville, TN, or Birmingham, ALYour future duties and responsibilities:You will lead critical incident response and root cause investigations, troubleshoot API traffic through Apigee Hybrid, and resolve application, infrastructure, and connectivity issues.
Responsibilities include maintaining Splunk and CloudWatch dashboards and alerts, troubleshooting GitLab CI/CD pipelines, supporting complex releases, and creating automation that improves reliability and reduces manual work.
The role works closely with engineering, cloud, network, API, and business teams to coordinate changes, communicate service impacts, and drive operational improvements. Required qualifications to be successful in this role:. 5+ years of experience supporting production applications and enterprise infrastructure across AWS and hybrid environments. . Expert Splunk and AWS CloudWatch skills, including dashboards, logs, metrics, alerts, event correlation, root cause analysis, and monitoring optimization. . Hands on Kubernetes and Apigee Hybrid troubleshooting, including deployments, ingress, API errors, latency, timeouts, and backend connectivity. . Strong network troubleshooting skills covering DNS, routing, ingress and egress traffic, firewalls, certificates, ports, and proxies. . Advanced Git/GitLab and CI/CD experience, including branching, releases, runners, variables, artifacts, deployment strategies, and pipeline troubleshooting. . Experience leading critical incidents,
application releases, and escalations, using ServiceNow or similar ITSM tools for Incident, Problem, Change, and Service Request Management. . Ability to create automation scripts, document findings, communicate service impacts, and present improvement recommendations to technical teams and management. . Deep expertise in at least two areas and intermediate knowledge in three others: cloud infrastructure, security, system operations, networking, databases, and development/DevOps.
Educational Requirements: . achelor's degree in Computer Science, Information Systems, or a related field. . AWS certification required. . Active AWS Certified Solutions Architect Professional or AWS Certified DevOps Engineer Professional preferred.
Other Information: 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.