Cloud Platform Engineer

At Credence, we support our clients’ mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future. We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. Credence is seeking a Cloud Platform Engineer to support secure AWS hosting environments for Department of War customers. This is a hands-on engineering role that supports the broader cloud hosting lifecycle. The position includes AWS infrastructure, Infrastructure as Code, CI/CD, container platforms, automation, technical solutioning, troubleshooting, monitoring, security, and operational support. The ideal candidate will have strong experience designing, implementing, automating, and troubleshooting AWS-based environments. Candidates should be comfortable working across infrastructure, deployments, container platforms, security controls, and customer requirements. Responsibilities Responsibilities include, but are not limited to: Design, implement, operate, and improve secure AWS hosting solutions supporting development, test, and production environments. Collaborate with Cloud Engineers, Solutions Architects, cybersecurity professionals, application teams, and customer stakeholders to develop and implement technical solutions. Translate technical and customer requirements into practical cloud infrastructure, deployment, and hosting solutions. Build, maintain, and improve reusable Infrastructure as Code patterns using Terraform, AWS CloudFormation, or similar technologies. Develop and maintain CI/CD pipelines supporting automated build, test, security scanning, deployment, and release workflows. Deploy, operate, and troubleshoot containerized workloads using Docker, Amazon ECS/Fargate, and Amazon EKS/Kubernetes. Support container platforms, including workload deployment, configuration, networking, storage, scaling, monitoring, and troubleshooting. Develop scripts, tools, and automation using Python, Shell, PowerShell, or similar technologies to reduce manual effort and improve consistency. Convert recurring operational issues into reusable automation, platform capabilities, or standardized deployment patterns. Support AWS-hosted environments as needed, including troubleshooting, incident response, planned maintenance, technical escalations, and production support. Troubleshoot infrastructure, operating system, networking, permissions, database, pipeline, container, and deployment issues. Support cloud platform services related to monitoring, logging, access control, configuration management, patching, backup, and security. Work with cybersecurity and compliance teams to ensure infrastructure and automation align with customer, federal, and organizational requirements. Research and recommend tools, technologies, and engineering practices that improve platform reliability, automation, security, and developer experience. Create and maintain technical designs, implementation plans, deployment procedures, runbooks, reusable patterns, and operational documentation. Participate in a rotating on-call schedule, typically approximately one week every four months. Requirements Required Qualifications Ability to obtain and maintain a Public Trust. Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent professional experience. CompTIA Security+ certification, or the ability to obtain it within the first 60 days. AWS certification, or the ability to obtain one within the first 90 days. At least 3 years of progressively responsible experience in cloud engineering, platform engineering, DevOps, infrastructure automation, systems engineering, or a related technical field. Hands-on experience designing, deploying, supporting, and troubleshooting AWS environments. Experience with core AWS services such as EC2, S3, IAM, VPC, security groups, RDS, EFS, CloudWatch, CloudTrail, and AWS Systems Manager. Hands-on experience with Terraform, AWS CloudFormation, or another Infrastructure as Code technology. Experience developing, maintaining, or troubleshooting CI/CD pipelines using GitLab CI/CD, Jenkins, GitHub Actions, AWS CodePipeline, or similar platforms. Production experience with Docker and at least one container platform, such as Amazon ECS Fargate or Amazon EKS/Kubernetes. Experience developing automation using Python, Shell, PowerShell, or a similar scripting language. Ability to troubleshoot complex technical issues across infrastructure, deployments, networking, permissions, and containerized workloads. Ability to contribute to technical solution design and communicate recommendations, tradeoffs, and implementation approaches. Strong written and verbal communication skills, including the ability to document technical processes and communicate with technical and nontechnical stakeholders. Preferred Qualifications Experience with both Amazon ECS/Fargate and Amazon EKS/Kubernetes. Experience with Terraform modules, remote state, workspaces, providers, and reusable Infrastructure as Code patterns. Experience with Git-based development workflows, branching strategies, merge requests, pull requests, and code reviews. Experience with Kubernetes tools and concepts such as Helm, namespaces, ingress, service networking, storage, autoscaling, and container registries. Experience supporting secure environments subject to federal, Public Trust, NIST, DoD, or similar compliance requirements. Experience with monitoring, logging, and alerting tools such as CloudWatch, Prometheus, or Grafana. Experience with AWS networking, load balancing, DNS, identity, security controls, or hybrid connectivity. Experience administering Linux or Windows servers in cloud or enterprise environments. Experience with Active Directory or LDAP-based identity solutions. Experience integrating generative AI services, APIs, or AI-assisted tools into cloud applications, engineering workflows, automation, or operational platforms. AWS Associate, Specialty, or Professional-level certification. Experience leading technical solutioning discussions with customers or stakeholders. Compensation The anticipated salary range for this position is $100,000–$180,000, depending on experience, technical depth, certifications, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources