Live opening · Posted 1 day ago

Senior DevOps Engineer With AWS

DataArt · Work From Home
Instahyre 10-14 yrs
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyDataArt
LocationWork From Home
Experience10-14 yrs
SourceInstahyre
Listed1 day ago

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About the role

Description supplied by the original job listing.

We are looking for an experienced Senior DevOps Engineer with AWS to help build and enhance scalable systems that improve the customer experience. In this role, you will be responsible for automating build, test, and deployment pipelines for the platform, ensuring reliable delivery processes and solutions that align with business and customer needs.
Responsibilities:
Design, build, and maintain robust CI/CD pipelines using GitLab CI and TeamCity.
Develop and manage reusable pipeline components: modules, templates, patterns, and shared jobs to promote efficiency and consistency.
Automate infrastructure provisioning and management using Terraform for AWS environments.
Implement and support release strategies (blue-green, canary, feature flags) and Git workflows (GitFlow, trunk-based).
Utilise Git tools and practices for version control, branching strategies, and code collaboration.
Build and maintain monitoring and visualisation solutions for pipeline health, performance, and deployment metrics.
Develop automation scripts and tools in Bash, Python, and/or PowerShell to streamline operational tasks and reduce manual effort.
Collaborate with development teams to integrate CI/CD best practices and ensure quality gate adherence.
Troubleshoot and resolve pipeline failures, perform root cause analysis, and implement preventive measures.
Contribute to the design and maintenance of reporting dashboards for quality, performance, and deployment status.
Requirements:
8+ years of hands-on experience in a DevOps, CI/CD, or automation engineering role.
Strong practical experience with GitLab CI for pipeline orchestration.
Solid understanding of release strategies and Git workflows in a collaborative environment.
Proficiency in Infrastructure as Code using Terraform for Cloud Providers.
Strong coding/scripting skills.
Kubernetes expertise.
Experience with scripting to automate manual tasks and developing AI solutions; knowledge of relevant libraries would be highly valuable.
Hands-on experience with AWS core services (EC2 S3 IAM, VPC, ECS/EKS, Lambda, etc. ).
Knowledge of pipeline optimisation, reusable components, and modular CI/CD design.
Ability to develop automation solutions beyond simple scripting - tooling, internal apps, or process automation.
Strong problem-solving skills and a proactive, iterative improvement mindset.
Good communication skills and ability to work in a team-oriented environment.
Nice to have:
Experience with monitoring platforms (Prometheus, Grafana, CloudWatch, Datadog, etc. ).
Experience with Amazon Bedrock.
Familiarity with containerization (Docker) and orchestration (ECS).
Knowledge of configuration management (Ansible, Chef, Puppet).
Previous exposure to financial services or regulated environments.
Experience in the finance domain.

Experience
10-14 yrs

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