Senior AWS Cloud DevOps Engineer (Kubernetes, CI/CD)

IBM

Boston (MA)

Hybrid

USD 140,000 - 190,000

Full time

14 days+
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Job summary

IBM Consulting in Boston is seeking a senior software engineering-focused professional to advance hybrid cloud and AI initiatives. You will work in IBM Consulting FutureNow Centers delivering deep technical expertise to public and private sector clients globally, with a focus on scalable data pipelines and cloud-native architectures.

The role emphasizes DevOps, CI/CD, containerized workloads, and event-driven data processing, requiring a Bachelor's degree and experience across Python,

Qualifications

  • Bachelor's Degree is required.
  • Experience with DevOps, CI/CD pipelines, Kubernetes deployments, and cloud environments.
  • Experience building data pipelines and handling scalable data processing.

Responsibilities

  • Advanced python coding skills – with a Software Engineering Background and understanding of good code quality and design patterns.
  • Good understanding of DevOps principles, namely:
  • Automation via CI/CD pipelines
  • Running containerized applications
  • Understanding of Kubernetes and it’s deployments (helm charts)
  • knowledge of AWS cloud environment
  • Experience with event/messaging services, preferably Rabbit MQ, Kafka from a developer perspective
  • Experience in building large-scale pipelines for data (here documents) processing, aspects like rate limiting, retries in case of failures, resilience, observability of pipeline status, avoidance of bottlenecks..

Skills

Python programming
DevOps practices
CI/CD pipelines
Containerization
Kubernetes
AWS
Messaging systems
Data pipelines

Education

Bachelor's Degree

Tools

Docker
Kubernetes
RabbitMQ
Kafka
AWS

Job description

IBM Consulting in Boston is seeking a senior software engineering-focused professional to advance hybrid cloud and AI initiatives. You will work in IBM Consulting FutureNow Centers delivering deep technical expertise to public and private sector clients globally, with a focus on scalable data pipelines and cloud-native architectures.

The role emphasizes DevOps, CI/CD, containerized workloads, and event-driven data processing, requiring a Bachelor's degree and experience across Python,

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