Principal Cloud Engineer

Responsibilities for this

Position Location:

Any Location /

Remote Full Part/Time:

Full time

Job Req:

RQ227174

Type of Requisition:

Regular Clearance Level Must Currently Possess:

None Clearance Level Must Be Able to

Obtain:

None Public Trust/Other Required:

None Job Family:

IT Infrastructure and Operations Job Qualifications:

Skills:

AWS CloudFormation, Cloud Architectures, Cloud Computing, Infrastructure Automation, Solution Architecture Certifications:

None Experience:

6 + years of related experience

US Citizenship Required:

No Job Description:

Advance how our customers operate while you advance your career. Join GDIT as a Cloud Engineer Principal and build an impactful career in enterprise IT, collaborating with people who are driven and resourceful like you. As a Cloud Engineer Principal, the work you'll do at GDIT will be impactful to the mission of Healthcare Fraud prevention Partnership (HFPP) Trusted Third party (TTP). You will play a crucial role in the mission of fighting fraud waste and abuse.

MEANINGFUL WORK AND PERSONAL IMPACT

Design, implement, modernize, and operationally support AWS-based cloud environments and hybrid cloud infrastructure. Develop and maintain cloud architecture patterns, reference architectures, reusable templates, and engineering standards for secure, scalable, resilient, and cost-effective platforms. Independently drive complex cloud initiatives, owning detailed design and implementation across infrastructure, application support, data engineering, cybersecurity, networking, and operations domains. Design, deploy, document, and validate multi-environment cloud infrastructure, including development, test, staging, production, and disaster recovery environments. Configure and manage AWS services to meet business, mission, security, availability, and performance requirements. Design and manage Amazon VPC environments, including subnets, route tables, network access control lists, security groups, private connectivity, DNS, load balancing, and network segmentation. Implement and maintain identity and access management practices, including AWS IAM roles, users, groups, policies, least-privilege access, privileged-access controls, and federation strategies. Develop and maintain infrastructure-as-code solutions using AWS CloudFormation, and equivalent automation frameworks. Build and improve automation for cloud provisioning, configuration management, image deployment, bootstrapping, scaling, monitoring, remediation, and operational workflows. Implement and improve observability capabilities using Amazon CloudWatch and related monitoring, logging, alerting, tracing, and dashboarding tools. Perform incident response, root-cause analysis, problem management, capacity planning, performance tuning, and reliability improvements for production cloud environments. Implement security-by-design practices, including vulnerability management, encryption, secrets management, logging, audit readiness, security monitoring, and compliance alignment. Implement cloud and on-premises integration solutions, including connectivity, identity, data movement, backups, storage, and operational support models. Support Linux and Windows environments, clustered file systems, storage, networking, SAN, backup, and large-scale data platforms as applicable. technical upgrades, platform enhancements, lifecycle management, and migration activities, including containerization of legacy workloads. Develop technical documentation, including architecture diagrams, engineering standards, implementation plans, runbooks, system design documents, operating procedures, and knowledge articles. Conduct proof-of-concept efforts and technical evaluations for emerging cloud, automation, data, security, and AI technologies. Develop and system, integration, performance, security, resiliency, and disaster recovery testing. Provide technical mentorship, code and design reviews, and practical guidance to cloud engineers, systems administrators, and DevOps practitioners. Communicate technical findings, risks, dependencies, tradeoffs, and recommendations clearly to management, customers, and technical stakeholders. Identify and implement opportunities to improve engineering efficiency, platform reliability, customer experience, security posture, automation, and cloud cost management. Use and extend AI-assisted engineering workflows, including AI-powered code generation, infrastructure-as-code development, documentation, code review, and operational automation. AI-assisted development practices while maintaining security, governance, and quality controls. Evaluate and adopt AI-enabled tools-such as Claude Code, Amazon Q Developer, or equivalent approved enterprise tools-to accelerate scripting, infrastructure automation, troubleshooting, and operational workflows. Support cloud capabilities for AI and data workloads, including secure data access, compute, storage, networking, model deployment, monitoring, and cost controls using services such as Amazon Bedrock, Amazon SageMaker, or comparable platforms. guardrails for responsible AI use, including protection of sensitive data, prompt and output review practices, access controls, audit logging, and human oversight. Use AIOps concepts and tools to improve event correlation, anomaly detection, operational triage, predictive capacity planning, and automated remediation.

WHAT YOU'LL NEED TO SUCCEED

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline; equivalent combination of education, technical training, and relevant experience may be considered. 6-10 years of progressive experience in cloud engineering, systems engineering, DevOps, infrastructure engineering, site reliability engineering, or a related technical discipline. Demonstrated hands-on experience designing, deploying, administering, and supporting AWS cloud environments in production. Strong experience with AWS services across compute, networking, identity, storage, monitoring, security, and automation domains. Experience designing and managing AWS networking, including VPCs, subnets, route tables, security groups, network ACLs, private connectivity, load balancers, DNS, and firewall integration. Strong knowledge of AWS IAM, access control, authentication and authorization concepts, least privilege, encryption, secrets management, and cloud security best practices. Hands-on experience with infrastructure as code using AWS CloudFormation, Terraform, or similar tools. Experience implementing CI/CD pipelines and autom... Visit the Employer site for more details