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Job Description
We're looking for an experienced
AWS DevOps Engineer to modernize and streamline the delivery pipeline for our web platform.
The goal is to enable
reliable daily production deployments using robust CI/CD pipelines, zero-downtime deployment strategies, QA automation, security scanning, and feature-flag based releases.
You will collaborate with engineering and QA teams to improve deployment reliability, reduce lead time, and implement scalable DevOps practices.
### Responsibilities
- Design and optimize
CI/CD pipelines on AWS (GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline / CodeBuild / CodeDeploy).
- Implement
blue/green or canary deployments with fast rollback capability.
- Integrate
automated tests (smoke, API, UI) into PR and commit workflows.
- Integrate
SAST security scanning into pipelines (SonarQube, Snyk, GitHub Advanced Security, etc.).
- Implement
feature flags (LaunchDarkly, Unleash, or similar) to decouple deploy from release.
- Set up
monitoring, logging, and alerting (CloudWatch, Prometheus/Grafana, ELK).
- Document DevOps standards and deployment runbooks.
### Requirements
- Strong AWS production experience (
EC2, ECS/EKS, Lambda, RDS, S3, VPC, IAM).
- Experience building
production CI/CD pipelines with automated tests and quality gates.
- Experience implementing
blue/green or canary deployments.
- Infrastructure as Code experience (
Terraform preferred).
- Scripting skills (
Python or Bash).
### What to Include in Your Proposal
To confirm you read this post, start your proposal with the word
BlueDeploy.
Also answer briefly:
- How would you design a CI/CD pipeline to enable
safe daily deployments on AWS?
Which tools would you choose for:
- CI/CD
- Infrastructure as Code
- Feature flags
- Monitoring
Please keep your proposal
under 200 words and focus only on relevant DevOps experience.
Also include
2–3 examples of similar AWS DevOps projects you have worked on.
Contract duration of less than 1 month. with 30 hours per week.
Mandatory skills:
CI/CD, CI/CD Platform, Deployment Automation, DevOps, Kubernetes, Docker, Containerization, Git, Linux System Administration, Amazon Web Services
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