Java Engineer
Required skills
- Java development
- Python programming
- scripting
- AWS cloud services
- cloud-based application development
- Terraform
- CI/CD pipelines
- automated deployment processes
- enterprise environments
- application resiliency
Nice to have
- centralized logging
- log aggregation
- observability platforms
- monitoring
- logging technologies
- ELK
Role summary
Seeking a Java Engineer with 5+ years of professional software engineering experience to join a team in Plano, TX. The role requires strong hands-on experience with Java development, Python programming, and AWS cloud services. Responsibilities include developing, maintaining, and supporting applications in enterprise environments, with a focus on cloud-based application development, Infrastructure as Code using Terraform, and CI/CD pipelines. Understanding of application resiliency, security, and production stability is crucial. Experience with AI-assisted development tools is also required. This is an in-person role for W2 candidates only, locals to Plano, TX.
Job
Title: Java Engineer
Location:
Plano, TX- In Person Interview (Locals Only)
Open for W2 only- No c2c/1099 or third party resumes
Due to the nature of the roles client is only
accepting USC/GC /GC EAD only no other visas accepted.
Required
Qualifications
- 5+ years of professional software engineering experience.
- Strong hands-on experience with Java development.
- Practical experience with Python programming and scripting.
- Hands-on experience with AWS cloud services and cloud-based application development.
- Experience with Terraform and Infrastructure as Code (IaC).
- Working knowledge of CI/CD pipelines and automated deployment processes.
- Experience across the Software Development Life Cycle (SDLC).
- Strong troubleshooting, debugging, and problem-solving skills.
- Experience developing, maintaining, and supporting applications in enterprise environments.
- Understanding of application resiliency, security, and production stability.
- Experience working in Agile development environments.
- Hands-on exposure to enterprise-approved AI-assisted software development tools and responsible AI usage.
Preferred
Qualifications
- Experience with centralized logging, log aggregation, and observability platforms.
- Knowledge of monitoring and logging technologies such as ELK, Splunk, Grafana, OpenTelemetry, or similar tools.
- Experience with cloud platform modernization initiatives.
- Familiarity with microservices and event-driven architecture.
- Exposure to Azure or Google Cloud Platform (GCP).
- Experience supporting distributed systems and cloud infrastructure platforms.
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