Our Engineering and Emerging Technologies (EET) team works side by side with customers to articulate a vision for success and then make it happen. We know success doesnt happen by accident. It takes the right team of people working together on the right solutions for the customer. We are looking for a seasoned DevOps Engineer who will be a key driver to make this happen.
In this position you will be part of the team building best in class enterprise data analytics platform. Learn and grow using Azure Infrastructure DevSecOps Databricks SAFe incremental delivery philosophy with highly supportive peers constantly sharing subject matter expertise. Were looking for an engineer that loves working the latest technologies and embraces a growth mindset.
Responsibilities :
Implement best in class cloud-based solutions in Azure using infrastructure as code (Terraform)
Deploy setup and run infrastructure configurations for various Azure services
Manage and optimize Databricks clusters ensuring high availability performance and security
Architect and implement scalable reliable and secure platform solutions
Manage Kubernetes clusters including deployment pipelines tuning and troubleshooting
Write Python based APIs and design relational data models
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 Kubernetes Containers and serverless functions
Develop maintain and improve continuousintegration / continuousdelivery (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 application metrics collection and log aggregation 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 thats pushing boundaries
Required Qualifications :
Bachelors degree in Computer Science Information Systems Engineering or other related scientific or technical discipline
3 years of experience with Kubernetes and containers
3 years of experience with Python API development and relational database modeling
3 years of experience in setting up CI / CD Pipelines with integration with open-source plugins.
Proficiency in Databricks administration including cluster management performance tuning and security
3 years of experience in DevOps / Agile / Scrum environments and development sAFE Framework a plus.
3 years of experience with monitoring tools like Application Insights Prometheus or Datadog
3 years of experience with open technologies and related Infrastructure as Code (IaC) tools JIRA including Docker Kubernetes GitHub Git and others.
3 years of strong hands-on experience with configuration management cloud orchestration and automation tools with Azure environments.
3 years experience with provisioning and managing infrastructure as well as applications in Azure cloud environments.
2 years of experience with identifying and implementing automation for ContinuousIntegration / ContinuousDeployment.
2 years experience writing infrastructure as code using Terraform
Candidate must be U.S. Citizen
Candidate must be able to obtain and maintain a Public Trust
Candidate must reside in the US be authorized to work in the US and work must be performed in the US
Working at ICF
ICF is a global advisory and technology services provider but were not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges navigate change and shape the future.
We can only solve the worlds toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer . Together our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records.
Reasonable Accommodations are available including but not limited to for disabled veterans individuals with disabilities and individuals with sincerely held religious beliefs in all phases of the application and employment process. To request an accommodation please email and we will be happy to assist . All information you provide will be kept confidential and will be used only to the extent to provide needed reasonable accommodations.
Read more about workplacediscriminationrigh t s or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.
Candidate AI Usage Policy
At ICF we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted . This policy is in place to maintain the integrity and authenticity of the interview process.
However we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed candidates are instructed to contact us in advance at . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
Pay Range - There are multiple factors that are considered in determining final pay for a position including but not limited to relevant work experience skills certifications and competencies that align to the specified role geographic location education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is :
$98124.00 - $166810.00
Nationwide Remote Office (US99)
Required Experience :
Senior IC
Key Skills
APIs,C / C++,Computer Graphics,Go,React,Redux,Node.js,AWS,Library Services,Assembly,GraphQL,High Voltage
Employment Type : Full-Time
Experience : years
Vacancy : 1
Monthly Salary Salary : 98124 - 166810
Senior Engineer Remote • Reston, Virginia, USA