Lead DevOps Engineer
Lead DevOps Engineer
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Job Description
ICF is a leading provider of consulting services and technology solutions to governments and commercial clients in the India United Kingdom Europe and globally. Since 1969 we have combined a passion for our work with deep industry expertise to tackle our clients most important challenges.
Job Description:
We are seeking a highly skilled and motivated Cloud DevOps Engineer with a strong background in computer science software development cloud networking and security principles. The ideal candidate will have extensive experience in cloud technologies and DevOps practices and will be responsible for designing implementing and maintaining scalable and secure cloud infrastructure.
Key Responsibilities:
- Design deploy and manage scalable secure and reliable cloud infrastructure.
- Implement DevSecOps practices to enhance security across the development lifecycle.
- Automate the deployment monitoring and management of cloud-based applications.
- Collaborate with cross-functional teams to ensure seamless integration and continuous delivery.
- Build and manage CI/CD pipelines to streamline development and deployment processes.
- Monitor system performance troubleshoot issues and optimize infrastructure for cost and efficiency.
- Ensure adherence to security and compliance best practices across all cloud environments including permission sets Service Control Policies (SCPs) and other advanced security principles or Azure policies RBAC controls.
- Architect and implement robust cloud networking solutions including VPCs hub-and-spoke models and cross-cloud provider connectivity.
- Leverage SecOps technologies like Microsoft Defender Rapid7 Splunk or similar tools to enhance system security and visibility.
- Drive cost optimization efforts by analyzing infrastructure usage and implementing strategies to minimize costs while maintaining performance and reliability.
- Stay up-to-date with industry trends and emerging technologies to drive innovation.
Qualifications:
- Experience of 8-12 years across Infrastructure Automation on Cloud Platforms
- Experience in software development and cloud DevOps (internships projects or coursework).
- Strong knowledge of cloud platforms such as AWS Azure or Google Cloud.
- Proficiency in cloud networking concepts including VPC design subnetting hub-and-spoke architectures and hybrid or multi-cloud connectivity.
- Expertise in scripting and automation tools such as Python Bash Terraform Ansible CloudFormation Azure ARM or Pulumi.
- Experience with CI/CD tools like Jenkins GitLab CI CircleCI or GitHub Actions.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Strong understanding of security best practices including permission sets and Service Control Policies (SCPs).
- Knowledge of SecOps technologies such as Rapid7 Splunk or other similar tools.
- Knowledge of Cloud AI Services like AI Foundry or SageMaker or Bedrock is a plus
- Knowledge of Cloud Data Technologies like Azure Synapse AWS Glue Snowflake or Databricks is a plus
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Bachelors degree in computer science or a related field.
Preferred Qualifications:
- Certifications in cloud technologies (e.g. AWS Certified Solutions Architect Azure DevOps Engineer Expert).
- Experience with infrastructure as code (IaC) and configuration management.
- Knowledge of Service Catalogs is a plus.
- Knowledge of Azure Dev Center is a plus.
- Exposure to AI/ML and Generative AI technologies is a plus.
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.At ICF we are committed to ensuring a fair and equitable 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 accommodations that involve 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.
Employment Type
Full-Time
