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DevOps/Middleware Engineer (Alpharetta)
DevOps/Middleware Engineer (Alpharetta)Flexton Inc. • Alpharetta, GA, United States
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DevOps / Middleware Engineer (Alpharetta)

DevOps / Middleware Engineer (Alpharetta)

Flexton Inc. • Alpharetta, GA, United States
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  • [job_card.full_time]
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Role : DevOps / Middleware Engineer

Payrate : $70 / hr on W2

Location : , Alpharetta, GA

Duration : 6+months

This is 3 days per week (hybrid) role.

Job Description :

  • Performs as an individual contributor of DevOps / middleware team that builds and supports exceptional customer-facing applications with challenging business use cases, existing systems and operational problems.
  • Experience working on various middleware application servers and containers from monolithic to modern versions.
  • Apply middleware infrastructure automation code with utmost attention to scalability, security and performance and with an end-to-end mindset from conception to delivery and production support, owning capacity specifications, quality, release deployments and monitoring of production health.
  • The candidate must also have some Shell / Perl / Python scripting language experience and be able to use this to implement changes in pipelines.
  • Maintains technical documentation on any implementations, README files up-to-date, and status pages of the projects along with Release team handover.
  • Collaborates closely with Engineering leadership, Product Managers, Designers, Test Automation and other teams to define, prioritize, sequence and scope middleware around business and functional areas.
  • Accurately scopes effort, identifies risks and clearly communicates trade-offs with team members and other stakeholders.
  • Instruments infrastructure and application performance monitoring, capacity management, alerting, tools instrumentation and metrics (KPI) management.
  • Perform impact assessment of product (hardware, software) upgrades, patching, migration and hot fixes.
  • Assists in planning, coordinating, and executing projects across various environments (Regression, Performance, Production and Post-production).
  • Supports and collaborates with other Engineers through evaluation, design analysis, and development phases.
  • Familiarity on common issues that causes builds / deployments to fail such as out of memory, disk full, missing libraries or security certificates etc.
  • Proven track record of handling & troubleshooting various critical Production and nonproduction applications end to end & infrastructure technical issues, providing comprehensive root cause.
  • This list is not all-inclusive, and you are expected to perform other duties as requested or assigned such as On-call rotation and knowledge sharing sessions as part of the team.

Skills / Experience :

  • OS (Unix / Linux) From the basic Application administration and maintenance support perspective.
  • Knowledge about DNS, DHCP, Load balancer, DMZ, Firewalls, whitelisting, TCP / HTTP / SOAP / RESTAPI etc.
  • Configuration Management Tools with Ansible / Chef / Puppet and scripting with Shell, Perl, python, Jason, YAML, PowerShell etc.
  • CI / CD Pipeline - GitHub Actions, Jenkins, CloudBees, Artifactory, Maven Canary & Blue / Green deployment with High availability of applications.
  • Middleware - Experience using any Enterprise servers like WebLogic, JBoss, Tomcat, Apache, proxy setup and security patching support .
  • Containerization - Leveraging Docker / Podman and Kubernetes for application deployment, ensuring portability across cloud platforms.
  • Cloud technologies - AWS / Azure on Load balancer, DNS, virtual machines (EC2), storage solutions (S3, EBS), and networking components (VPC, Route 53)
  • Security Okta, SiteMinder, LDAP, AD, Entra ID, RBAC, SSL certificates lifecycle management, OpenSSL, Keytool, CSR and MFA knowledge.
  • Monitoring Tools - Preferably with any of these : Datadog, AppDynamics, Kibana, Splunk, Nagios, Dynatrace, Grafana etc.
  • Troubleshooting experience on Production & Non-production issues with infrastructure knowledge and in-depth root cause analysis.
  • Knowledge and exposure to Agile Kanban / Scrum process and methodologies.
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