Senior DevOps Engineer (10+ years)

  • Posted 7 hours ago | Updated 7 hours ago

Overview

Remote
$70 - $80
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

Apache Kafka
DevOps
Kubernetes
Continuous Integration
Amazon Web Services
Terraform
Reporting
Extract
Transform
Load

Job Details

Key Responsibilities:

  • Design, implement, and manage scalable, secure, reliable and effective data solutions focus on streaming and event-driven logging using AWS services such as MSK (Managed Streaming for Apache Kafka), Lambda, EC2, ECS, Glue, S3, and Athena.
  • Collaborate with cloud solution architects, network engineers, analysts, program managers, and other engineering teams to understand logging requirements and develop effective data ingestion, data analytics and reporting solutions
  • Monitor and troubleshoot failure or performance issues in data solutions.

Requirements

  • Design, implement, and manage scalable, secure, reliable and effective data solutions focus on streaming and event-driven logging using AWS services such as MSK (Managed Streaming for Apache Kafka), Lambda, EC2, ECS, Glue, S3, and Athena.
  • Collaborate with cloud solution architects, network engineers, analysts, program managers, and other engineering teams to understand logging requirements and develop effective data ingestion, data analytics and reporting solutions
  • Monitor and troubleshoot failure or performance issues in data solutions.

Qualifications:

- Bachelor s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.

- Proven experience as a DevOps Engineer, Data Engineer, or similar role, with a focus on data solutions.

- Strong experience in data ingestion, data modeling, data storage, ETL, and reporting, with a focus on streaming and event-driven logging using AWS services (MSK, Lambda, EC2, ECS, Glue, S3, etc).

- Proficiency in Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.

- Experience with CI/CD tools and practices.

- Familiarity with containerization technologies (e.g., Docker, Kubernetes) is a plus.

- Strong scripting skills in languages such as Python, Bash, or similar.

- Excellent problem-solving skills and the ability to work in a fast-paced environment.

- Strong communication and collaboration skills, with the ability to work effectively in a team.

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