Hello,

Hope you are doing good!!

We at Cerebra Consulting, Inc. have an exciting job opening with one of our clients. Please go through the job description below and if you are interested, share your update resume with contact details.

Position: Back End Developer (Sr.) (ONLY W2 )-3 openings

Location: Dallas, Texas --- Hybrid Onsite Locals

Duration: Contract to hire

Working on the latest Gen AI technologies! Long-term project!

Required Skills

MUST have Senior-level experience in Python, Azure, Docker, Kubernetes

Back-end Developer (Sr):

Responsibilities:

• Collaborate with cross-functional teams to design, develop, and maintain scalable backend services.
• Utilize your expertise in multi-cloud environments, specifically Azure and AWS, to optimize cloud-based solutions.
• Work with Docker and Docker Compose for local development, testing, and troubleshooting of backend services.
• Deploy and manage microservices on cloud platforms such as AKS/EKS.
• Conduct performance testing using tools like JMeter to ensure optimal system functionality.
• Implement CI/CD pipelines with modern tooling, including Jenkins, Helm, and ML Ops.
• Apply Kubernetes knowledge to deploy, test, and troubleshoot services, using kubectl for effective cluster management.
• Design and implement microservices architecture and adhere to best practices and design patterns.
• Monitor and maintain Kubernetes environments, utilizing tools like Prometheus and Grafana for effective monitoring and alerting.

Qualifications:

• Proven experience working on multi-cloud environments, particularly Azure and AWS.
• Strong proficiency in Docker and Docker Compose for local development and testing.
• Hands-on experience deploying microservices on AKS/EKS.
• Familiarity with performance testing tools, such as JMeter, for optimizing backend services.
• In-depth knowledge of CI/CD tooling, including Jenkins, Helm, and ML Ops.
• Solid understanding of Kubernetes, including deployment, testing, and troubleshooting using kubectl.
• Experience with microservices architecture and design patterns.
• Familiarity with Kubernetes monitoring and alerting tools, including Prometheus and Grafana.