Sr. AWS & Kafka Developer Cloud Engineer
Job Description
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Written by AI from the job title and company, not by Accroid Inc, so some details may not match this job. The employer's own page has the real description.
Job Overview
Accroid Inc. is seeking a highly skilled Sr. AWS & Kafka Developer Cloud Engineer who will play a pivotal role in designing, implementing, and maintaining robust cloud solutions using AWS and Kafka. The successful candidate will collaborate with cross-functional teams to enhance cloud infrastructure and optimize data processing pipelines while ensuring best practices in security, scalability, and performance. This position demands a proactive approach to problem-solving and a deep understanding of cloud architectures and microservices.
Job Responsibilities
- Design and implement scalable and highly available AWS cloud solutions.
- Develop and maintain Kafka-based messaging systems for real-time data processing.
- Collaborate with data scientists and engineers to optimize data integration workflows.
- Monitor and troubleshoot existing cloud applications to ensure optimal performance.
- Establish and enforce best practices for security and compliance in cloud applications.
- Participate in architecture discussions and contribute to technical design decisions.
- Document technical specifications, architectural designs, and project progress.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- A minimum of 5 years of experience in cloud engineering, specifically with AWS services.
- Strong proficiency in Kafka, including setup, configuration, and management.
- Experience with containerization technologies such as Docker and Kubernetes.
- Solid understanding of RESTful APIs, microservices architecture, and cloud design patterns.
- Familiarity with DevOps practices and CI/CD pipelines.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Technologies & Tools
The Sr. AWS & Kafka Developer Cloud Engineer will work predominantly with Amazon Web Services (AWS), including services such as EC2, S3, Lambda, and RDS. Additionally, the role involves utilizing Apache Kafka for data streaming and integration, alongside tools like Terraform for infrastructure automation. Familiarity with monitoring and logging tools such as Prometheus, Grafana, and CloudWatch will also be beneficial for maintaining system reliability and performance.
Ideal Candidates
Ideal candidates for this position will possess strong analytical skills and a detail-oriented mindset, coupled with the ability to work collaboratively in a team environment. They will demonstrate adaptability to new technologies and methodologies, as well as a continuous learning attitude. Effective communication skills and a strong sense of ownership for project deliverables are essential traits that will contribute to their success in this role.
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