Senior AWS DevOps Engineer
EPAM Systems
Darbo aprašymas
About the role
We are looking for a Senior AWS DevOps Engineer to drive automation, scalability and reliability across our cloud platform. You will work closely with development, operations and infrastructure teams to design, build and continuously improve CI/CD pipelines and infrastructure‑as‑code solutions in a large enterprise environment.
Key responsibilities
- Design, build and maintain CI/CD pipelines for application and infrastructure delivery using Git, GitLab CI, Jenkins, AWS CodePipeline and CodeDeploy.
- Develop and manage AWS cloud solutions with a focus on automation, security, scalability and high availability.
- Implement and evolve infrastructure‑as‑code using Terraform and AWS CloudFormation.
- Create and maintain scripts in Bash, Python, Shell and SQL to streamline deployment and operational workflows.
- Collaborate with development and infrastructure teams to define best practices for monitoring, logging and reliability.
- Support networking tasks across AWS and on‑premises environments and ensure compliance with AWS security best practices.
- Participate in tool enhancements, platform upgrades and continuous improvement initiatives.
Required profile
- 5+ years of hands‑on experience with AWS DevOps practices and cloud‑based delivery systems.
- Proven ability to build and integrate CI/CD pipelines using Git, GitLab CI/CD and Jenkins.
- Strong knowledge of AWS security, IAM roles, policies and networking fundamentals.
- Experience working in a large enterprise setting and collaborating with cross‑functional teams.
- Fluent English (B2+ level) and willingness to contribute to tooling and process improvements.
Required skills
- AWS (EC2, ECS, ECR, RDS, Aurora, DynamoDB, Lambda, SNS, SQS, Elasticsearch, CloudWatch)
- Terraform
- AWS CloudFormation
- CI/CD tools: Git, GitLab, Jenkins, AWS CodePipeline, AWS CodeDeploy
- Scripting: Bash, Python, Shell, SQL, Perl
- Configuration management: Ansible, Puppet, Rundeck
- Linux/Unix systems
- Networking across cloud and on‑premises environments
- Monitoring & observability: Datadog, Splunk, ELK Stack, Sumo Logic
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EPAM Systems