Job description

Description 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 doesn't 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. We’re 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 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 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 that’s pushing boundaries Required Qualifications: • Bachelor’s 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 Continuous Integration/Continuous Deployment. • 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 we’re 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 world's 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 Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.  Read more about workplace discrimination rights 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 candidateaccommodation@icf.com. 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: $98,124.00 - $166,810.00 Nationwide Remote Office (US99)

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