Note: The job is a remote job and is open to candidates in USA. ICF is a mission-driven global advisory and technology services provider that delivers technology solutions to improve lives and address complex challenges. The Senior DevOps Engineer will build and operate AWS cloud infrastructure, automate application and infrastructure environments, and develop CI/CD pipelines for a healthcare reporting service. The role also involves cross-functional collaboration and implementing monitoring and security capabilities in development, integration, and production environments.
Responsibilities
- Implement best in class cloud-based solutions in AWS using infrastructure as code
- Deploy, setup, and run infrastructure configurations for various AWS services, utilizing Infrastructure as Code such as Terraform
- Engage with technical stakeholders including but not limited to application development, networking, infrastructure, information security, risk, enterprise identity and access management, and security operations
- Enable and optimize the automation of application and infrastructure environments
- Be part of a team where you collaborate to build cloud infrastructure, with an understanding of AMI, Containers and serverless functions
- Develop, maintain and improve continuous integration/continuous delivery (CI/CD) pipelines for delivering features, fixes and system updates in development, integration and production environments
- Set up, integrate, and maintain a scalable, stable set of CI/CD tools to support development, testing, and security scanning
- Implement Amazon CloudWatch, Splunk and other third party monitoring solutions to provide continuous monitoring capabilities, track all aspects of the system, infrastructure, performance, application errors and roll up metrics
- Analyze functional and non-functional business requirements, translate them into technical operational requirements, and propose CI/CD pipelines with tools and plugins
- Making a big impact as part of a small team that’s pushing boundaries
- Design and implement automated monitoring capabilities to generate dashboards with trends, useful messages, and immediate notifications, and provide real-time metrics using Splunk or similar services
Skills
- Outstanding writing and verbal communication abilities
- Meticulous attention to detail
- Bachelor's degree
- 3+ years of experience in setting up CI/CD Pipelines with integration with open-source plugins
- 3+ years of experience in DevOps/Agile/Scrum environments and development
- 5+ years of strong hands-on experience with configuration management, cloud orchestration and automation tools with AWS environments
- 5+ years of experience with provisioning and managing infrastructure as well as applications in AWS cloud environments
- 2+ years of experience with identifying and implementing automation for Continuous0Integration/Continuous0Deployment
- 5+ years of experience writing infrastructure as code using Terraform
- Ability to obtain and maintain a Federal Public Trust clearance
- Must reside in the United States, be authorized to work in the United States, and perform all work within the United States
- Must have lived in the United States for at least three (3) of the last five (5) years
- Must be able to travel approximately 5%
- Experience with Java software development
- Experience with Datadog
- Working knowledge of Linux
- Design and implement automated monitoring capabilities to generate dashboards with trends, useful messages, and immediate notifications, and provide real-time metrics using Splunk or similar services
- Knowledge of multi-account architecture, leveraging tools such as AWS Control Tower, SCPs, GuardRails, and Transit Gateways
- Wide technology experience that may include cloud architecture, cloud migrations, applications development, networking, security, storage, analytics, or machine learning
- AWS Solution Architect (Associate or Pro) certification
- Familiar with standard concepts, practices, and procedures such as NIST, FISMA, FedRamp and Common Criteria regulations and standards
- Familiarity with the MLOps, machine learning lifecycle and product landscape, for example: Amazon SageMaker, Apache Airflow, Looker, Trifacta etc. You don't need to be an expert in all these
Benefits
- Remote work within the United States
- Core work hours are 9am - 5pm Eastern Time with the option to start earlier or work later depending on your time zone
- Learn and grow using AWS Infrastructure, DevSecOps, Agile Scrum, incremental delivery philosophy with highly supportive peers constantly sharing subject matter expertise
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