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Specialist - Software Engineering - AppOps Engineer (Cloud & Kubernetes)LTM • United States
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Specialist - Software Engineering - AppOps Engineer (Cloud & Kubernetes)

LTM
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

Role description
Role Overview:
We are looking for an AppOps Engineer with strong experience in release management, deployment, and production support in a cloud-native environment.
The role focuses on ensuring stable, reliable, and scalable application operations, especially in upper environments (PPD/Prod), through effective deployment practices, monitoring, and issue resolution.
The ideal candidate should have hands-on experience with Kubernetes, GitLab-based deployments, and troubleshooting production issues, along with strong collaboration and communication skills.
Key Responsibilities:
1). Manage release and deployment activities across environments (especially PPD and Production)
2). Create, review, and manage Merge Requests (MRs) in GitLab as part of deployment workflows
3). Follow Git branching strategies and ensure proper version control practices
4). Monitor deployments using Argo CD (GitOps) and ensure successful rollout of applications
5). Handle production readiness, release coordination, and deployment windows
6). Work closely with Dev teams, QA, and stakeholders during deployments and testing cycles.
Monitor system health using:
1). Dynatrace (application performance monitoring)
2). Splunk (log analysis)
3). Moog soft ( tracking & correlation)
Perform incident troubleshooting and root cause analysis:
1). Pod failures
2). Deployment/configuration issues
3). Kafka connectivity, network, and environment issues
Technical Skills Required:
1).
Cloud & Kubernetes:
Strong hands-on experience with AWS (EKS), CloudWatch and other services.
2).
Solid understanding of:
Kubernetes architecture
3).
Pod lifecycle:
Deployments, Services, ConfigMaps
4). Experience using kubectl commands for troubleshooting
5).
Strong experience with:
GitLab and Git branching strategies.
6). Experience with Argo CD for application deployment and monitoring, Understanding of GitOps-based deployment model.
7). Hands-on experience with Helm charts, Helm lint, Managing application configurations using Helm.
8).
Monitoring & Observability:
Dynatrace (APM monitoring), Splunk (logs & debugging) and Moogsoft (s & incidents)
9).
Scripting & OS:
Linux and Shell / Bash / PowerShell
10). Ability to troubleshoot at system and application level, Messaging & Integration
11). Basic knowledge of Kafka (producers, brokers, connectivity issues)
12).
Scheduling / Batch:
Experience with Control-M for job scheduling and monitoring
13). Experience working in Agile environment (Scrum / SAFe)
14).
Participation in:
Sprint planning and PI planning
15). Use of Jira (task tracking) and Confluence (documentation)
16). Continuous Integration and Continuous Integration
17). DAST Scanning mechanism.
Good to Have:
1). Understanding of banking/payment systems and environments
2). Experience working with multi-environment setups (QA, PPD, PROD)
3). Exposure to Chaos Testing / resilience validation
Soft Skills:
1). Strong communication and coordination skills
2). Ability to handle production-critical environments calmly
3). Good problem-solving and analytical thinking
4). Ability to work both independently and in teams
5). Proactive approach towards learning and improvement
  • United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

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