Principal Cloud Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $136k - $184k / year

⏰ Full Time

🔴 Lead

☁️ Cloud Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.

📋 Description

• 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 • Drive complex cloud initiatives across infrastructure, application support, data engineering, cybersecurity, networking, and operations • Design, deploy, document, and validate development, test, staging, production, and disaster recovery environments • Configure and manage AWS services to meet business, mission, security, availability, and performance requirements • Manage Amazon VPC environments, IAM practices, infrastructure as code, provisioning, configuration, scaling, monitoring, remediation, and operational workflows • Implement observability 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 • Implement security-by-design, vulnerability management, encryption, secrets management, audit readiness, and compliance alignment • Integrate cloud and on-premises environments, including connectivity, identity, data movement, backups, storage, and operational support • Support Linux and Windows environments, clustered file systems, storage, networking, SAN, backup, and large-scale data platforms • Execute technical upgrades, lifecycle management, migrations, and containerization of legacy workloads • Develop architecture diagrams, engineering standards, implementation plans, runbooks, system design documents, operating procedures, and knowledge articles • Conduct proofs of concept and technical evaluations for cloud, automation, data, security, and AI technologies • Develop and execute system, integration, performance, security, resiliency, and disaster recovery testing • Provide technical mentorship, code and design reviews, and guidance to cloud engineers, systems administrators, and DevOps practitioners • Communicate technical findings, risks, dependencies, tradeoffs, and recommendations to management, customers, and technical stakeholders • Improve engineering efficiency, platform reliability, customer experience, security posture, automation, and cloud cost management • Use AI-assisted engineering workflows and evaluate approved tools such as Claude Code and Amazon Q Developer • Support AI and data workloads using platforms such as Amazon Bedrock and Amazon SageMaker • Apply responsible AI guardrails and use AIOps for event correlation, anomaly detection, predictive capacity planning, and automated remediation

🎯 Requirements

• 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 • 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, 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 automated deployment practices • Experience with monitoring, logging, alerting, and operational diagnostics using Amazon CloudWatch and related observability tools • Proficiency with Python, Bash, PowerShell, and JavaScript/Node.js • Experience administering or supporting Linux and Windows operating systems in enterprise or production environments • Strong networking knowledge, including TCP/IP, DNS, TLS, routing, firewall concepts, load balancing, VPNs, network segmentation, and traffic inspection architectures • Experience supporting databases and data platforms such as MySQL, PostgreSQL, Oracle, SQL Server, Snowflake, or comparable technologies • Experience in a 24/7 production environment, including operational support, incident response, root-cause analysis, and change management • Ability to document complex technical solutions clearly • Ability to translate mission, business, security, and operational requirements into technical designs and implementation plans • Experience applying secure software development, DevSecOps, and automation practices in an Agile or iterative delivery environment • Familiarity with enterprise-approved generative AI tools and engineering productivity use cases • Ability to assess AI-generated code, scripts, infrastructure configurations, and technical recommendations for accuracy, security, maintainability, and operational suitability • AWS certifications and additional experience listed under desired qualifications are preferred/desirable, not required

🏖️ Benefits

• Comprehensive benefits and wellness packages • 401(k) with company match • Competitive pay • Paid time off • AI-powered career tool identifying career steps and learning opportunities • Internal mobility team focused on career goals • Full-flex work weeks • Award-winning culture of innovation • Military-friendly workplace • Medical plan options, some with Health Savings Accounts • Dental plan options • Vision plan options • Vacation, sick, personal, holiday, paid parental, military, bereavement, and jury duty leave • Typically 15 days of paid leave per calendar year • 10 paid holidays per year • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance